Open source

Meta AI is the AI research and model-building organisation of Meta Platforms. Founded in late 2013 as Facebook AI Research, it produced PyTorch and the Llama and Muse model families, and it is separate from the Meta AI assistant product.

TensorFlow is Google's second-generation machine learning system, released as an open-source library under the Apache 2.0 license on 9 November 2015, succeeding the earlier DistBelief system.

PyTorch is an open-source deep-learning framework released by Meta in 2017, now governed by the PyTorch Foundation under the Linux Foundation. It is used both for research and for training and running large models in production.

BERT is a language model from Google that reads text in both directions and is pre-trained by filling in masked words. Fine-tuned per task, it set new records on question answering and language-understanding benchmarks and later went into Google Search.

NVIDIA's A100 is a data-center GPU, the first built on the Ampere architecture. Announced on 14 May 2020, it introduced third-generation Tensor Cores, the TF32 format and Multi-Instance GPU, and became a standard building block for training large language models.

RoseTTAFold is a three-track neural network for protein structure prediction, published by the Baker lab in 2021; its accuracy approached AlphaFold2's at CASP14, it models protein–protein complexes from sequence alone, and it is distributed as open code with a public web server.

An open-weight text-to-image model released publicly by Stability AI on 22 August 2022, built on latent diffusion and small enough to run on consumer GPUs, which made local image generation widely accessible.

An open-source framework released in October 2022 that lets developers connect large language models to data, APIs and other tools by composing them into chains and agents.

vLLM is an open-source serving system for large language models, built on PagedAttention, which manages the KV cache the way an operating system manages virtual memory. It reports 2-4x higher throughput than earlier serving systems at the same latency.

A family of foundation language models from Meta AI, released in 7B to 65B parameter sizes and trained on public data; its 13B model was reported to beat GPT-3 on most benchmarks.

LLaMA is a family of foundation language models from 7B to 65B parameters, trained only on public datasets; its 13B model beat GPT-3 on most benchmarks, and all models were released to researchers.

llama.cpp is an open-source inference engine written in C/C++ that runs large language models on consumer hardware. Created by Georgi Gerganov in March 2023, it helped make local model inference common and popularized the GGUF model file format.

DeepSeek is a Chinese AI company founded in Hangzhou in July 2023 as a spin-off of the AGI research lab of High-Flyer, a hedge fund. It releases its main models with open weights.

A July 2023 paper from Meta led by Hugo Touvron that introduces and releases Llama 2, a family of pretrained and fine-tuned language models from 7 to 70 billion parameters, together with a detailed account of how the chat versions were tuned and made safer.

Mixtral 8x7B is a sparse mixture-of-experts language model from Mistral AI. A router sends each token to two of eight experts per layer, so the model holds 47B parameters but uses 13B during inference.

ESM3 is a protein generative model announced by EvolutionaryScale in June 2024 that reasons over sequence, structure and function together, and generated a fluorescent protein estimated to sit over 500 million years of evolution away from known ones.

Llama 3.1, released on 23 July 2024, added a 405-billion-parameter model to the Llama 3 family and extended its context to 128,000 tokens. Meta called the 405B the largest and most capable openly available foundation model.

Meta's 2024 paper describing Llama 3 as a family of foundation models — 8B, 70B and 405B parameters — trained on about 15 trillion tokens and reported to match leading models such as GPT-4 across a wide range of tasks.

The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives. Anthropic open-sourced it on 25 November 2024 and later donated it to the Agentic AI Foundation.

DeepSeek-V3 is an open-weight mixture-of-experts language model that DeepSeek released in December 2024. Each token uses 37 billion of its 671 billion parameters, and DeepSeek describes its chat model as comparable to leading closed-source systems.

A technical report from DeepSeek-AI on DeepSeek-V3, a mixture-of-experts language model with 671 billion total parameters, describing its architecture, training pipeline, and evaluations, including a full training run of 2.788 million H800 GPU hours.

DeepSeek-R1 is an open-weight reasoning model that DeepSeek released on 20 January 2025. Built on DeepSeek-V3-Base and trained with reinforcement learning, it is released under the MIT License, which allows commercial use and distillation.

The DeepSeek-R1 report described how a reasoning model was trained largely with reinforcement learning, rewarding correct answers, and reached performance comparable to OpenAI's o1 on math, code and reasoning benchmarks. Its weights were released openly.

Isaac GR00T N1 is an open foundation model for humanoid robots that NVIDIA announced on 18 March 2025. It is designed to be post-trained for a specific robot or task, and it pairs a planning model with quick motion control.

Qwen3 is a family of large language models from Alibaba, released on 29 April 2025 under Apache 2.0. Its main feature is hybrid thinking, which lets one model reason step by step or answer directly.

The Qwen3 Technical Report presents Alibaba's Qwen3 family of dense and mixture-of-experts language models, which unify thinking and non-thinking modes, add a controllable thinking budget, and are released under the Apache 2.0 licence.

Kimi K2 is an open-weight mixture-of-experts language model from Moonshot AI, released in July 2025 with 1 trillion total parameters, 32 billion active per token and a 128K-token context.

Kimi K2 is Moonshot AI's trillion-parameter mixture-of-experts model, pre-trained with the MuonClip optimizer and post-trained on large-scale agentic data plus reinforcement learning; the report reports state-of-the-art results among open-source non-thinking models and releases base and post-trained checkpoints.

The Agentic AI Foundation is a Linux Foundation project launched in December 2025 to provide vendor-neutral governance for agent interoperability, security and accountability. It grew from three hosted projects to ten and passed 300 member organisations within a year.

DeepSeek-V4, released in preview on 24 April 2026, comprises V4-Pro and V4-Flash, two open mixture-of-experts models with a 1M-token context. Its architecture targets long-context efficiency, and its later releases extended the series with agent upgrades and multimodal input.

A preview report on the DeepSeek-V4 series, describing a 1.6-trillion-parameter Pro model and a 284-billion-parameter Flash model, both with one-million-token context, plus the attention, connection and optimization changes that make that length affordable.

Kimi K3 is a 2.8-trillion-parameter open-weight multimodal model from Moonshot AI, released on 16 July 2026 with weights following on 27 July under the Kimi K3 License.

Kimi K3 is Moonshot AI's 2.8-trillion-parameter open mixture-of-experts model with native vision and a one-million-token context, released with full weights. Its report describes the architecture, training and serving work behind it, and reports frontier-level results that still trail the strongest proprietary models.

K2 Horizon is a family of six open language models from the Institute of Foundation Models, released in September 2026 with weights, code, training data and recipes under the Apache 2.0 licence.

Jais-3-375B-A23B is an open-weight Arabic-focused mixture-of-experts model from the Institute of Foundation Models: 375 billion parameters stored, 23 billion active per token, a 512,000-token context window and Apache 2.0 weights.

JAX is a Python library for accelerator-oriented array computation and program transformation, aimed at high-performance numerical computing and large-scale machine learning. It pairs a NumPy-style API with composable transformations for compilation, batching, differentiation and parallelization.

Mark Zuckerberg is the chairman and chief executive of Meta Platforms, the company formerly known as Facebook. He recruited the founding researchers of Facebook AI Research in 2013 and announced Meta Superintelligence Labs in 2025.

Liang Wenfeng is a Chinese entrepreneur who co-founded the quantitative hedge fund High-Flyer and founded the AI company DeepSeek in 2023. He is the corresponding author of the DeepSeek-R1 paper published in Nature in 2025.

Arthur Mensch is a French AI researcher who worked at DeepMind before co-founding Mistral AI in 2023, where he serves as chief executive. He is a co-author of the Chinchilla scaling paper and the Mistral 7B paper.

Mila, the Quebec AI Institute, is a Montreal deep-learning institute founded in 1993 by Yoshua Bengio as LISA; its graduates include Ian Goodfellow and Hugo Larochelle.

C4.5 is a machine learning system that builds decision trees or if-then rules from cases with known classes. J. Ross Quinlan's 1993 book documents its C/UNIX implementation, source code, and use.

A non-profit founded in 1998 that stewards the Open Source Definition and, since 2024, the Open Source AI Definition, setting a shared standard for what counts as open source.

Torch is a scientific computing framework for machine learning built on the LuaJIT scripting language with a C/CUDA core, designed to put GPUs first and surrounded by a large ecosystem of community packages.

OWL is a W3C Recommendation published on 10 February 2004: a semantic markup language for publishing and sharing ontologies on the Web, giving software formal definitions of terms so it can process the meaning of information, not just display it.

NVIDIA Research is the research arm of the chipmaker NVIDIA, founded in 2006 with more than 200 scientists. It leads work on AI, self-driving cars, high-performance computing and graphics, and it builds the company's open Nemotron language models.

Theano is a Python library and optimizing compiler for mathematical expressions, especially matrix-valued ones, developed at the Montreal Institute for Learning Algorithms. Released in 2007, it combined symbolic differentiation, GPU execution and C code generation for numerically heavy research and teaching.

Common Crawl is a nonprofit that has archived the public web since 2007 and gives its petabyte-scale datasets away for free. Its corpus became a core source of training data for large language models.

Alibaba Cloud is the cloud computing arm of Alibaba Group and the developer of the Qwen (Tongyi Qianwen) large language model family, which is released as both open weights and proprietary models.

An open-source Python library for statistical learning, begun in 2007, first released publicly on 1 February 2010 by a team at Inria, and now one of the most popular machine learning programs on GitHub.

A 2011 workshop paper by Ronan Collobert, Koray Kavukcuoglu and Clement Farabet describing Torch7, a Lua-based numeric computing framework and machine learning library built for flexible experimentation on fast low-level kernels.

A 2011 Journal of Machine Learning Research paper by Collobert, Weston, Bottou, Karlen, Kavukcuoglu and Kuksa, presenting one neural network architecture and learning algorithm for part-of-speech tagging, chunking, named entity recognition and semantic role labeling, trained on mostly unlabeled data with little task-specific engineering.

Submitted to arXiv in January 2013 by Tomas Mikolov and colleagues at Google, this paper introduced CBOW and Skip-gram, two simple architectures that learn word vectors quickly from very large text collections. They are the basis of the word2vec project.

Nonprofit AI research institute founded by Paul Allen in 2014 and based in Seattle, known for Semantic Scholar and for the openly released OLMo family of language models, whose training data, code and checkpoints are published alongside the weights.

Caffe is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying convolutional neural networks, described in a 2014 paper by Yangqing Jia and colleagues.

Keras is a deep learning API written in Python that runs on top of JAX, TensorFlow or PyTorch. Since 2015 it has offered a high-level way to define, train and export neural networks without tying a project to one framework.

Hugging Face is an AI platform company founded in 2016. Its Hub shares models, datasets and demo apps, its libraries include Transformers, and in September 2026 Nvidia agreed to acquire it.

OpenAI Gym, announced as a beta in April 2016, is a toolkit for developing and comparing reinforcement learning algorithms: a growing suite of environments, from classic control tasks to Atari games and simulated robots, plus a website for comparing and reproducing results.

PaddlePaddle (飞桨) is Baidu's open-source deep learning framework, released in September 2016 out of an internal platform begun in 2013; at launch it was described as China's first open-source deep learning platform.

ONNX is an open format for representing machine learning models, announced by Microsoft and Facebook in September 2017 so that developers can move models between frameworks instead of converting them between incompatible formats.

AI21 Labs is an Israeli AI company founded in Tel Aviv in November 2017 that builds large language models, including the Jurassic and Jamba families, and the Wordtune writing assistant.

GPT-1 was OpenAI's first generative pre-trained transformer, published in June 2018. It showed that one language model, pre-trained on unlabelled text and then fine-tuned, could improve results on many language tasks.

A free, open catalogue that links machine learning papers to their code and maintains benchmark leaderboards tracking the state of the art; built by Atlas ML, majority-owned by Facebook from December 2019, and relaunched as paperswithcode.co by Hugging Face in 2026.

Stability AI is a British generative-AI company founded in 2019 in London. It is known for releasing the open-weight Stable Diffusion image model in 2022, and it has since faced copyright lawsuits over training data.

Zhipu AI, also known as Z.ai, is a Beijing company founded in 2019 as a Tsinghua University spin-out. It develops the GLM model family and related chatbot, video, agent and coding products, and listed in Hong Kong in January 2026.

MBZUAI, the Mohamed bin Zayed University of Artificial Intelligence, is a graduate AI university in Abu Dhabi, founded in 2019. It hosts the Institute of Foundation Models, which builds the K2, Jais and PAN model lines.

GPT-2 is a large language model that OpenAI announced in February 2019. Its largest version has 1.5 billion parameters. OpenAI first withheld the full model, then released it in stages through November 2019.

Baidu's first ERNIE pre-trained language model, released in March 2019, added entity- and phrase-level masking to BERT-style pre-training and reported state-of-the-art results on five Chinese NLP tasks.

T5 is a family of Google Transformer models that recasts every language task as text in, text out. Its 11-billion-parameter version set state of the art on several benchmarks, and the code, models and C4 dataset were released openly.

The Hugging Face Hub is the platform where people share machine-learning models, datasets and demo apps. By September 2026 it had more than 3 million models and 18 million users.

EleutherAI is a grassroots AI research collective that began as a Discord server in July 2020. It released The Pile and the open GPT-style models GPT-Neo, GPT-J and GPT-NeoX-20B, and in 2023 it became a nonprofit research institute.

The Pile is an 825 GiB English text dataset of 22 combined sources, released by EleutherAI on 31 December 2020 with an arXiv paper. It became the training data for several of the group's open models.

An image-text model from OpenAI that learns to match pictures with their captions. Trained on about 400 million image-caption pairs, it can classify images by comparing them against written prompts, with no task-specific training.

GPT-J-6B is a six-billion-parameter open language model released by EleutherAI in June 2021 under the Apache 2.0 license. Its published scores sit close to GPT-3 Curie, making it a widely used free baseline for large-model research.

LoRA (low-rank adaptation) is a fine-tuning technique that freezes a pre-trained model's weights and trains small low-rank matrices instead, cutting the number of trainable parameters and the memory needed while keeping quality close to full fine-tuning.

Triton is OpenAI's open-source, Python-like language and compiler for writing GPU kernels. It lets researchers with no CUDA experience produce efficient GPU code, often close to what an expert would write.

MiniMax is a Shanghai-based AI company founded in December 2021 by computer-vision researchers from SenseTime. It builds text, speech and video models and consumer apps such as Talkie and Hailuo AI, and listed in Hong Kong in January 2026.

GPT-NeoX-20B is a 20-billion-parameter open autoregressive language model released by EleutherAI in February 2022, with weights under Apache 2.0 and its training code, described by its makers as the largest publicly accessible general-purpose model of its kind at the time.

BLOOM is a 176-billion-parameter open multilingual language model released on 12 July 2022 by the BigScience project, with weights available under a responsible-use license.

Whisper is OpenAI's open-source speech recognition system, released in September 2022 and trained on 680,000 hours of audio, which transcribes speech in many languages and translates it into English.

GLM-130B is a 130-billion-parameter open bilingual Chinese–English dense language model from Tsinghua University's KEG group and Zhipu AI, built to give researchers an open model that matches GPT-3 at the hundred-billion scale.

LAION-5B is an openly available dataset of 5.85 billion CLIP-filtered image-text pairs, released so that researchers outside a handful of labs could study and reproduce large vision-language models.

LlamaIndex is an open-source Python library for building retrieval-augmented generation applications and AI agents on top of large language models. It began in late 2022 as one engineer's small indexing utility, GPT Tree Index.

An open-source AI model community launched by Alibaba's DAMO Academy with partners in 2022, hosting hundreds of ready-to-use models and promoting "Model-as-a-Service".

An open bilingual chat model from Zhipu AI and Tsinghua KEG with about 6.2 billion parameters, small enough to run on one consumer GPU, with weights fully open for research.

A public Hugging Face leaderboard that ran a fixed set of benchmarks on open language models in one identical setup, from 2023 to 2025, so their scores could be reproduced and compared.

The H800 is a China-market version of NVIDIA's H100 data-center GPU, adapted to fit the US export rules of October 2022 by cutting chip-to-chip transfer speed. It was later used to train DeepSeek-V3 and was covered by tighter US controls in October 2023.

01.AI is a Beijing-based artificial intelligence company founded in 2023 by Kai-Fu Lee. It builds open and closed large language models, including the Yi series, and the Wanzhi enterprise platform.

Chinese AI company founded in Beijing in 2023 by Tsinghua schoolfriends Yang Zhilin, Zhou Xinyu and Wu Yuxin; maker of the long-context Kimi assistant and the K-series models, and one of China's fastest-rising model developers by valuation.

An open-source autonomous agent released in March 2023 that uses OpenAI's large language models, such as GPT-4, to break a user's goal into sub-tasks and carry them out with tools like web browsing.

Mistral AI is a Paris-based company founded in April 2023. It builds open-weight and commercial large language models, the Le Chat assistant and the Vibe coding agent, and it has grown quickly through several large funding rounds.

The Segment Anything Model (SAM) is a promptable image segmentation model Meta AI released in April 2023. Given a point, a box or a mask, it outlines the object the prompt refers to.

StepFun (阶跃星辰) is a Shanghai AI company founded in April 2023 by former Microsoft staff. It builds multimodal Step-series models and has open-sourced several of them.

Baichuan Intelligence (百川智能) is a Beijing AI company founded in April 2023 by Wang Xiaochuan. It released open-source language models from 2023 and later focused on applying AI to healthcare.

Aider is an open-source AI pair programming tool that runs in the terminal, maps an entire codebase, edits code with cloud or local language models and commits every change to git automatically.

Ollama is an open-source tool written in Go that lets people pull and run large language models locally on macOS, Linux and Windows, from a command line interface or a local REST API.

Meta's family of open-weight language models released in July 2023 in 7B, 13B and 70B sizes, each with a dialogue-tuned Chat variant, issued under a custom licence that allowed free research and commercial use.

SDXL is Stability AI's open text-to-image diffusion model, announced in July 2023 with a 3.5B-parameter base model and a refiner stage, generating natively at 1024×1024. A distilled version, SDXL Turbo, cut generation down to a single step.

GGUF is a binary file format introduced in 2023 by the llama.cpp project that packs model tensors and metadata into a single file, and is widely used for distributing quantized language models for local inference.

Qwen, known in Chinese as Tongyi Qianwen (通义千问), is Alibaba's family of large language models. Its first open-weight model, Qwen-7B, was released on 3 August 2023, and the family has grown through many later versions.

AutoGen is a Microsoft framework for building AI agents and applications, in which customizable, conversable agents combine large language models, human input and tools. It was introduced in an arXiv paper submitted on 16 August 2023.

Code Llama is a family of coding models that Meta released in August 2023 by further training Llama 2 on code. It ranges from 7 billion to 70 billion parameters and uses the Llama 2 community license.

Baichuan 2 is the second-generation open model family from Baichuan, released on 6 September 2023 in 7B and 13B sizes. Commercial use required an application and was limited by user numbers.

Mistral AI's first model: a 7.3-billion-parameter language model released in September 2023 under the Apache 2.0 license, built to match much larger models on standard benchmarks.

DSPy is a programming model that represents language-model pipelines as graphs of declarative modules and uses a compiler to optimize them against a chosen metric.

Fuyu-8B is a decoder-only multimodal model that Adept open-sourced in October 2023; it drops the image encoder, accepts arbitrary resolutions, and reads screens and charts.

CrewAI is an open-source Python framework for building groups of collaborating AI agents, created by João Moura in late 2023 and backed by $18 million in funding.

Yi-34B and Yi-6B are open bilingual base models from 01.AI, released in November 2023 and trained on 3 trillion tokens. Yi-34B ranked first among open pre-trained models at launch.

Grok-1 is xAI's first large language model, announced on 3 November 2023 as the engine of the Grok chatbot. Its 314-billion-parameter weights were released openly in March 2024.

MLX is an open-source machine learning framework from Apple's machine learning research team, released in December 2023 and built primarily for Apple silicon. Its NumPy-like Python API and unified-memory design let the CPU and GPU work on the same data.

AMD's data-center GPU for generative AI, released in December 2023. Built on the CDNA 3 architecture with a chiplet design, it leads with 192 GB of HBM3 memory, which AMD contrasted with the 80 GB on Nvidia's H100.

An open-weight sparse mixture-of-experts language model from Mistral AI, released in December 2023: 46.7B total parameters but 12.9B used per token, a 32k-token context, and results above Llama 2 70B on most benchmarks.

SGLang is an open-source system for running complex language model programs: a frontend language plus a runtime that reuses cached attention state and speeds up structured output, reporting up to 6.4x higher throughput than prior inference systems.

Black Forest Labs is a German AI lab based in Freiburg im Breisgau, founded in 2024 by Robin Rombach, Andreas Blattmann and Patrick Esser. It develops the FLUX image models and raised a $300 million Series B in December 2025.

OLMo is the Allen Institute for AI's open language model, released on 1 February 2024 in 1B and 7B sizes with its Dolma training data, training code, logs and checkpoints, all under Apache 2.0.

Gemma is a family of lightweight open language models from Google DeepMind, released in February 2024 in 2B and 7B sizes, built from the same research and technology as Gemini and offered for commercial use under Google's terms.

Stable Diffusion 3, announced by Stability AI on 22 February 2024, is a suite of 800 million to 8 billion parameter models that pairs a diffusion transformer with flow matching.

EvoLLM-JP is a Japanese model from Sakana AI built by evolutionarily searching merges of three open-source models instead of training from scratch; the 7B result has mathematics ability none of its sources had alone.

DBRX is Databricks' openly licensed large language model, a mixture-of-experts transformer with 132 billion total parameters and 36 billion active per token, announced on 27 March 2024.

Jamba, released by AI21 Labs on 28 March 2024, is an open-weights model that combines Mamba state-space layers with Transformer attention. It has 52 billion total parameters and a 256k-token context window.

The Meta Llama 3 Community License is the custom agreement Meta attaches to its Llama 3 models: free to use and modify, but with use restrictions, attribution duties and a user-scale threshold that keep it from being open source in the usual sense.

Llama 3 is an open model family from Meta, released on 18 April 2024 at 8 billion and 70 billion parameters. It was pretrained on over 15 trillion tokens of publicly available data.

Phi-3 is Microsoft's family of small language models, launched in April 2024 with Phi-3-mini, a 3.8-billion-parameter model small enough to run on a phone.

Snowflake's open-weight model with 480 billion total and 17 billion active parameters, built as a dense-MoE hybrid, released in April 2024 under Apache 2.0 and trained for under 2 million dollars.

DeepSeek-V2 is a mixture-of-experts language model released in May 2024 with 236B total parameters, of which 21B are activated per token. It introduced Multi-head Latent Attention and used DeepSeekMoE for economical sparse training.

Qwen2 is the Qwen family's June 2024 generation, with five sizes from 0.5B to 72B parameters, context lengths up to 128K tokens, and most sizes released under Apache 2.0.

OpenVLA is a 7-billion-parameter open-source vision-language-action model trained on 970,000 real robot demonstrations, released with checkpoints and code so that other groups can fine-tune and run it on their own robots.

FineWeb is a 15-trillion-token pretraining dataset built from 96 Common Crawl snapshots and released in 2024 with its curation code and ablation models; its educational subset, FineWeb-Edu, improves results on knowledge- and reasoning-heavy benchmarks.

Cline is an open-source autonomous coding agent that runs as a VS Code extension, a CLI assistant and an SDK. Created in 2024 and operated by Cline Bot Inc., its extension has been installed by more than 11 million developers.

OpenHands is an open-source platform for AI software-development agents that write code, use a command line and browse the web, released under the MIT license and described in a paper accepted at ICLR 2025.

FLUX.1 is a family of 12-billion-parameter text-to-image models released by Black Forest Labs on 1 August 2024 in pro, dev and schnell variants. The dev version is open-weight, and the variants carry different licenses.

xAI's Grok-2 and Grok-2 mini, released in August 2024 as a beta for X subscribers, added image input, posted competitive benchmark scores and later had their weights published.

LMSYS (Large Model Systems) is a non-profit that started as a multi-university collaboration in 2023 and became an incorporated organisation in September 2024, building open models, serving systems and evaluation platforms such as Chatbot Arena, SGLang, FastChat and Vicuna.

/llms.txt is a proposed standard file that a website publishes so AI agents can find clean, structured information about it. Jeremy Howard published the proposal on 3 September 2024, and a second version followed two years of adoption.

Qwen2.5 is the Qwen family's September 2024 generation. Its launch included 13 open-weight models, with up to 18 trillion pretraining tokens, 128K context and most models under Apache 2.0.

Llama 3.2, announced on 25 September 2024, added vision models at 11 billion and 90 billion parameters and small text-only models at 1 billion and 3 billion for edge and mobile devices.

The Open Source AI Definition is a 1.0 standard, released by the Open Source Initiative in October 2024, that a model must meet to be called open source: reproducible design, disclosed training data, and freedom to use, modify and build on it.

Hunyuan-Large is Tencent's open-weight mixture-of-experts model, with 389 billion total parameters and 52 billion activated, released in November 2024 under a Tencent license.

HunyuanVideo is Tencent's open-source text-to-video generation model, with over 13 billion parameters, released in December 2024. Running it locally needs at least 60GB of GPU memory.

Phi-4 is Microsoft's 14-billion-parameter dense decoder-only language model, built with a data-quality-first recipe heavy on synthetic data and released with full weights under the MIT licence in January 2025.

MiniMax-01 is an open-weight model series released in January 2025. It includes the language model MiniMax-Text-01 and the vision-language model MiniMax-VL-01, and uses a hybrid attention design that supports very long context.

Thinking Machines Lab is a San Francisco AI company founded in February 2025 by former OpenAI CTO Mira Murati. It built Tinker, an API for fine-tuning open-weight models, and released the open-weight Inkling model.

Step-Video-T2V is an open text-to-video model with 30 billion parameters. StepFun released its weights, code, a Turbo variant and a technical report under the MIT license on 17 February 2025.

Wan2.1 is Alibaba's open-source video generation model family, released on 25 February 2025 under Apache 2.0. It creates videos from text or images and can render Chinese and English text.

Ling is a family of open-weight Mixture-of-Experts language models from Ant Group's InclusionAI, released with a technical report arguing that a 300B-scale MoE can be trained without premium GPUs.

AGNTCY is an open-source project, open sourced by Cisco in March 2025 and welcomed by the Linux Foundation in July 2025, that gives AI agents from different vendors shared infrastructure for discovery, identity, messaging and observability.

A 32-billion-parameter open-weight reasoning model released by the Qwen team on 6 March 2025, trained mainly through scaled reinforcement learning and reported to perform comparably to the much larger DeepSeek-R1.

OpenAI's open-source toolkit for building multi-agent applications, released in March 2025 with configurable agents, handoffs, guardrails and tracing; it succeeds the experimental Swarm SDK and works with OpenAI and third-party models.

Gemma 3 is Google's third generation of open Gemma models, released on 12 March 2025 in 1B to 27B sizes, with a 128,000-token context window, image input on the larger variants, and support for more than 140 languages at the pretrained level.

ERNIE 4.5 is Baidu's native multimodal foundation model, released on 16 March 2025 and handling text, images, audio and video. In June 2025 Baidu open-sourced ten models from the family under the Apache License 2.0.

Llama 4 Maverick is a mixture-of-experts model Meta released alongside Scout on 5 April 2025, with 400 billion total parameters and a 1-million-token context. Its ranking on LMArena was later questioned.

Llama 4 Scout is a mixture-of-experts model Meta released on 5 April 2025. It has 109 billion total parameters, 17 billion of them active for each token, and a context window of 10 million tokens.

MiMo-7B is a 7-billion-parameter reasoning model from Xiaomi's LLM-Core team, pre-trained on 25 trillion tokens and tuned with reinforcement learning on verifiable math and code problems, reported to surpass OpenAI o1-mini on several reasoning benchmarks.

A research institute of Abu Dhabi's Mohamed bin Zayed University of Artificial Intelligence, launched in May 2025, working from Abu Dhabi, Silicon Valley and Paris on open frontier foundation models including K2, Jais and PAN.

Falcon-H1 is a family of open-weight language models that runs Transformer attention and state space layers in parallel, released in sizes from 0.5B to 34B parameters under the Falcon-LLM Licence.

A 2025 paper proposing Absolute Zero, a reinforcement-learning paradigm in which one model writes its own code-reasoning tasks and then solves them, with a code executor as the only judge, reaching state of the art on coding and maths without external training data.

An updated release of DeepSeek's open-weight reasoning model, published on 28 May 2025 under the MIT License, with markedly higher scores on competition math, science and coding benchmarks, plus system-prompt support and stronger function calling.

FLUX.1 Kontext is a family of image models from Black Forest Labs, announced on 29 May 2025, that generates and edits pictures from both text and image inputs. Its open-weight dev variant followed in June 2025.

MiniMax-M1 is an open reasoning model released by MiniMax in June 2025. It has 456B total parameters, a native 1-million-token context and an Apache 2.0 license, and it comes in 40K and 80K thinking-budget versions.

GLM-4.5 is Zhipu's open-weight language model, released in July 2025 with 355 billion total parameters and a lighter sibling, GLM-4.5-Air. Both are hybrid reasoning models released under the MIT License.

EXAONE 4.0 is LG's family of large language models, released as a 32B model and a 1.2B on-device model, merging chat usability with a reasoning mode and adding tool use and Spanish support.

A 14.74-billion-parameter Korean-English reasoning model released by NAVER in July 2025, built by compressing a larger model and training it with a four-stage reasoning recipe at a fraction of the cost of comparable models.

Qwen3-2507 is a staged 2025 refresh of the open-weight Qwen3 models that split thinking and non-thinking into separate checkpoints, raised native context to 262,144 tokens, and scored far above the original non-thinking mode on published benchmarks.

Qwen3-Coder is an open-weight family of coding models from the Qwen team; its flagship 480B-parameter model, announced in July 2025, was built and trained specifically for agentic coding tasks.

Step 3 is StepFun's open multimodal reasoning model, with 321 billion total parameters and 38 billion active per token. It was released in July 2025 and uses Apache 2.0.

gpt-oss is a family of open-weight reasoning language models released by OpenAI on 5 August 2025, in 120-billion and 20-billion parameter sizes, under the permissive Apache 2.0 license.

ByteDance Seed's open-weight 36-billion-parameter model family from August 2025, trained on 12 trillion tokens with a 512K-token context window and a user-settable thinking budget.

DeepSeek-V3.1, released on 21 August 2025 under the MIT License, was DeepSeek's first hybrid model, supporting both a thinking mode and a non-thinking mode in one set of weights. It has 671 billion total parameters, with 37 billion activated per token.

Qwen3-VL is Alibaba's open vision-language model family, released in September 2025 under Apache 2.0. Its 235B flagship handles long video, GUI operation and 2D and 3D grounding.

LongCat-Flash is a 560-billion-parameter Mixture-of-Experts language model from Meituan's LongCat team, which activates roughly 27 billion parameters per token and was released with open weights under the MIT license.

An open-source image generation model from Tencent that handles image understanding and generation inside a single autoregressive mixture-of-experts framework; its code, weights and technical report were released in September 2025.

MiniMax-M2 is an open-weights mixture-of-experts language model released by MiniMax in October 2025, with 230B total and 10B active parameters, aimed at coding and agentic workflows.

Agent Skills are folders of instructions, scripts and resources that Claude loads when they are relevant to a task. Anthropic introduced them on 16 October 2025 and donated the open standard to the Agentic AI Foundation in October 2026.

Kimi K2 Thinking is a reasoning model released by Moonshot AI in November 2025, built on the Kimi K2 mixture-of-experts architecture and trained for native INT4 inference and long chains of tool calls.

Olmo 3 is the third generation of the Allen Institute for AI's fully open language models, announced on 20 November 2025 in 7B and 32B dense Transformer sizes, with a 65,536-token context and all datasets openly available.

FLUX.2 is Black Forest Labs' image generation and editing model family, released on 25 November 2025, spanning hosted tiers and open-weight releases, with support for 4-megapixel output and up to 10 reference images.

DeepSeekMath-V2, released on 27 November 2025, is a mathematical reasoning model trained to verify its own proofs. DeepSeek reported gold-level scores on IMO 2025 and CMO 2024 problems, and 118 of 120 on Putnam 2024.

GLM-4.7 is Zhipu's open-weights language model released in December 2025, aimed at multilingual agentic coding and terminal tasks. It reports clear gains over GLM-4.6 on software-engineering benchmarks and ships under the MIT license.

DeepSeek-V3.2, released on 1 December 2025, succeeded the experimental V3.2-Exp and integrated thinking into tool use. Its companion V3.2-Speciale, which maximizes reasoning, reached gold-level results at several 2025 competitions.

Mistral AI's flagship model of the Mistral 3 family, released in December 2025: a sparse mixture-of-experts model with 675B total parameters, open weights under Apache 2.0, and image understanding.

Solar Open 100B is Upstage's open-weight mixture-of-experts language model for English and Korean, released in December 2025 with 102.6 billion total parameters, 12 billion active per token, and a custom licence.

OpenSandbox is a general-purpose sandbox platform for AI applications, contributed by Alibaba to the Agentic AI Foundation. It offers multi-language SDKs, a unified sandbox API, Docker and Kubernetes runtimes, and a protocol that lets teams plug in custom runtimes.

Open Responses is an open specification and ecosystem, based on the OpenAI Responses API, that gives applications one shared schema for calling models, streaming results and composing agentic workflows across providers.

Kimi K2.5 is a natively multimodal open-weight model from Moonshot AI, released on 27 January 2026. It has 1 trillion total parameters, a 256K-token context and an Agent Swarm feature for parallel sub-agents.

Step 3.5 Flash is an open-weights Mixture-of-Experts language model from StepFun, released in February 2026 with 196 billion total parameters, a 256K-token context and an Apache 2.0 license.

MiniMax-M2.5 is an open-weight 229B-parameter language model released in February 2026 for agentic coding and office work, shipped alongside a faster Lightning variant and reported at the top of software-engineering benchmarks.

GLM-5 is Zhipu's open model released on 12 February 2026 under the MIT License, with 744 billion parameters and 40 billion active. It was built for agentic engineering.

Qwen3.5 is a natively multimodal model family from Alibaba released in February 2026. Its open flagship, Qwen3.5-397B-A17B, has 397B total parameters and 17B active per token, under Apache 2.0.

Reka Edge is a 7-billion-parameter vision-language model from Reka AI, released on 11 March 2026, built to take images, video and text and to run locally on laptops, phones and small edge devices.

An open reasoning vision-language-action model from NVIDIA for humanoid robots, announced in March 2026 as commercially usable and trained on large public robot manipulation datasets.

A generation of Alibaba's Qwen models released in April 2026, spanning proprietary Plus and Max versions aimed at agentic coding and open-weight models such as Qwen3.6-35B-A3B, a 35B-parameter mixture-of-experts with 3B active parameters.

Gemma 4 is Google's fourth generation of open-weight models, released in April 2026 and built on the same research and technology as Gemini 3, ranging from phone-sized E2B and E4B to a 26B mixture-of-experts and a 31B dense model.

GLM-5.1 is Zhipu AI's open-source large language model released in April 2026, built for coding and long-running agent tasks and notable for topping SWE-Bench Pro ahead of competing frontier models in Zhipu's own comparison.

EXAONE 4.5 is LG AI Research's first open-weight vision language model: a 33-billion-parameter model with a 1.2-billion-parameter vision encoder, trained on documents and text, with a 256K-token context window, released in April 2026.

The Qwen3.5-Omni Technical Report documents Alibaba's Qwen3.5-Omni, a hundreds-of-billions-parameter model that understands long audio and video and generates speech across 10 languages, reporting state-of-the-art results on 215 audio and audio-visual benchmarks.

Laguna XS.2 is Poolside's first open-weight coding model: 33 billion total parameters with 3 billion active per token, released under Apache 2.0 and trained on 30 trillion tokens.

Command A+ is Cohere's open-source mixture-of-experts language model, released on 20 May 2026 under the Apache 2.0 licence with 218 billion total and 25 billion active parameters, aimed at sovereign and critical-infrastructure deployments.

MiniCPM5 is a series of small, dense, open-weight language models from the MiniCPM team, beginning with a 1B model released in May 2026 and followed by a 2B model in September 2026, all aimed at on-device and other resource-constrained deployment.

A mixture-of-experts language model released by MiniMax in June 2026, with about 428B total parameters, a 1M-token context window and a new sparse attention scheme built for long-context and agent-style work. [^1]

Zhipu's open-weight language model released in June 2026 under the MIT License, with a 1M-token context, a shared sparse-attention indexer, and higher reasoning and coding scores than GLM-5.1.

Tencent Hy3 is an open-weight reasoning model released on 6 July 2026 under Apache 2.0, with 295 billion total parameters, 21 billion active and a 256K context.

Inkling is the first model released by Thinking Machines Lab: a 975B-parameter mixture-of-experts model with open weights, native text, image and audio input, and a context window of up to 1M tokens.

Qwen3.8 is Alibaba's 2026 flagship line. Its open 2.4-trillion-parameter model, Qwen3.8-2.4T-A95B, released in August 2026, has 95B active parameters and a custom license.

GLM-5.3 is Zhipu's open-weight language model released on 14 August 2026. It keeps the GLM-5.2 base model and gains its improvements from post-training, with reported state-of-the-art open results on agentic coding and cybersecurity benchmarks.

Tencent Hy4 preview is an open-weight mixture-of-experts model released on 28 August 2026 with 770 billion total parameters, 49 billion active and a context of over one million tokens.

DeepSeek-V4.1-Flash, released on 10 September 2026 under the API name deepseek-flash, is a 552-billion-parameter multimodal mixture-of-experts model with a causal encoder-decoder design and a 1M-token context.

Kimi K3.1 Pro is Moonshot AI's October 2026 open-weights model, the first in the K3.1 series, built for financial research, 3D modeling and coding. It keeps K3's mixture-of-experts scale but swaps in sparse attention layers.

Kolibri-1 is Aleph Alpha's open-weight German–English mixture-of-experts model: 78.1 billion parameters with 3.46 billion active per token, a 1,048,576-token context window, and weights that fit on a single H200 or B200.

Mistral Large 4 is Mistral AI's flagship open-weight model, with about 1 trillion total parameters, a 1M-token context window and native multimodality. It was previewed on 6 October 2026, and an improved version's weights followed on 29 October 2026.

Jais-3-MoVA-36B-A4B is an Arabic-centric mixture-of-experts model from the Institute of Foundation Models: 36 billion parameters, 4 billion active per token, a 512,000-token context and a mixture-of-values attention scheme.

Jais-3-7B is a dense 7B Arabic-and-English model from the Institute of Foundation Models, with a 512,000-token context window, a single-GPU footprint of about 18 GB, and reasoning returned in a separate field.

Muse Spark Open is Meta's open-weight large language model, announced on 15 October 2026. With 816 billion total parameters, it is built for coding and agentic work, and its weights can be downloaded, unlike the closed Muse Spark that started the family.

LFM3-Omni-2B is Liquid AI's first omni-modal model in the LFM3 family: one 2.17-billion-parameter model that reads text, images, video and audio and answers in text or speech.

LG AI Research is the organisation behind EXAONE, a family of large language models it documents in technical reports and releases under its own EXAONE licence.

Aleph Alpha is the company behind Kolibri, an open-weight model released on 3 October 2026 and built around data sovereignty and German-language specialisation rather than raw scale.

Sarvam AI is an Indian company building a sovereign AI stack; its Sarvam-M, a post-trained 24-billion-parameter Mistral Small released under Apache-2.0, reports large gains on Indian-language benchmarks.

Transformers is an open-source Python library that offers pretrained Transformer models through one unified API. Its paper was posted to arXiv on 9 October 2019, and the first v5 release candidate came in December 2025.

Meituan's LongCat team released LongCat-Flash, a 560-billion-parameter mixture-of-experts language model that activates roughly 27 billion parameters per token on average and ships with open weights under the MIT licence.

Ant Group is the company whose InclusionAI team released the open-weight Ling (Bailing) family of mixture-of-experts language models in 2025, including Ling-Lite and Ling-Plus, trained without premium GPUs and published under the MIT licence.

AMD is a chip designer whose data center AI business centres on Instinct GPUs and APUs, expanded through the Xilinx and ZT Systems acquisitions and capped by a 6-gigawatt OpenAI supply deal.

Stanford computer science professor who directs the Center for Research on Foundation Models and works on making language models more open and more rigorously benchmarked.

LangGraph is LangChain's agent runtime and low-level orchestration framework for building agents, with built-in memory, token streaming and human approval. Its 1.0 release, which LangChain called the first stable major release in the durable agent framework space, arrived in October 2025.

LangChain is the company behind the open-source LangChain and LangGraph frameworks and the commercial LangSmith platform, which developers use to observe, evaluate and deploy applications built on large language models.

Agent Development Kit (ADK) is an open-source, code-first Python framework for building, evaluating and deploying AI agents, built around a graph-based workflow runtime, and ported to several other languages.

ACP (Agent Communication Protocol) is an open protocol for agent interoperability, connecting AI agents, applications and humans through a standardised RESTful API. It was developed under the Linux Foundation alongside BeeAI and now sits within A2A, with a migration guide for existing users.

The Technology Innovation Institute is a research centre of Abu Dhabi's Advanced Technology Research Council that works across ten technology fields and develops the Falcon family of language models, releasing model weights, technical reports and its own licence.

The Semantic Web is a W3C standards effort that uses RDF and OWL to describe data so different applications, enterprises and communities can share and reuse information, moving from research toward practical tools.

Ali Farhadi (born 1982) is a computer scientist and professor at the University of Washington who served as chief executive of the Allen Institute for AI from 2023 to 2026, a period that included fully open releases of the OLMo, Molmo and Tülu models.

Emad Mostaque is a British-Bangladeshi former hedge fund manager who founded Stability AI in 2019 and served as its CEO until he resigned in March 2024.

The UCI Letter Recognition dataset is an archive of 20,000 distorted capital-letter images, each reduced to 16 integer attributes, used to benchmark classification algorithms on a 26-class recognition task.

Apache Hadoop is an open-source framework for distributed storage and processing of big data, with the Hadoop Distributed File System for storage and MapReduce for processing; it grew out of the Nutch web-search project and was first released in 2006.

Apache MXNet is an open-source deep learning library that offers both symbolic and imperative programming, runs from mobile devices to GPU clusters, and ships bindings for eight languages. Its paper was posted in December 2015 by Tianqi Chen, Mu Li and colleagues.

A software platform OpenAI released in December 2016 for measuring and training an AI's general intelligence across games, websites and other applications, shipping 1,000 environments built on Gym.

ERNIE 2.0 is Baidu's pre-trained language model framework, published in 2019, which builds pre-training tasks incrementally through continual multi-task learning and reported results above BERT and XLNet on English and Chinese benchmarks.

A 2019 Google paper that frames every language task as text in, text out, using one encoder-decoder Transformer and one training setup. It also introduced the C4 dataset, and the released T5 models became common research starting points.

Writer is an enterprise AI company founded in 2020 by May Habib and Waseem AlShikh, selling brand-aware agents and governance tools to large companies, and publishing the Palmyra-mini family of small open models.

MindSpore is Huawei's open-source AI computing framework, announced in March 2020, built to run across device, edge and cloud, co-optimized with Huawei's Ascend processors and shipped with tools for training visualization and model security.

GPT-Neo is a family of open text-generation models released by EleutherAI in March 2021 at 125M, 1.3B and 2.7B parameters, built to replicate the GPT-3 architecture and distributed with freely downloadable weights under an MIT license.

OPT-175B is a 175-billion-parameter language model from Meta AI, announced in May 2022. Meta said it was the first model of its size released with both pretrained weights and the code to train and use them.

Galactica is a large language model for science, unveiled by Meta AI and Papers with Code in November 2022. Its public demo was taken down about three days later, after users found it produced fake papers.

Stable Diffusion 2 is an open-source text-to-image model family released by Stability AI on 24 November 2022, built on a new OpenCLIP text encoder and shipped with upscaling, depth-guided and inpainting models; version 2.1 followed weeks later.

RedPajama is an open-source project that began by reproducing the LLaMA training dataset, releasing a 1.2-trillion-token corpus as a clean-room, fully open implementation.

Pythia is a suite of 16 open language models from EleutherAI, ranging from 70 million to 12 billion parameters, all trained on the same data in the same order, with 154 public checkpoints from each training run.

Stable LM is Stability AI's family of open language models, first released in April 2023 as 3B- and 7B-parameter alpha versions under licenses that allow commercial use of the base models and research-only use of the instruction-tuned ones.

HuggingChat is a free chatbot launched by Hugging Face on 25 April 2023 as an open-source alternative to ChatGPT. It initially ran the volunteer Open Assistant model and let users switch among open models.

StarCoder is an open-access code language model of about 15.5 billion parameters, released on 4 May 2023 by the BigCode project led by Hugging Face and ServiceNow.

Vercel's AI SDK is a TypeScript toolkit that gives developers one interface for many AI model providers, framework-agnostic hooks for chat interfaces, and a uniform way to run agent harnesses.

Baichuan-7B is an open-source, 7-billion-parameter language model for Chinese and English released in June 2023, the first model from Baichuan, trained on about 1.2 trillion tokens and evaluated on Chinese and English benchmarks.

Phi-1 is a 1.3-billion-parameter Transformer language model for Python from Microsoft Research, which showed that filtered and synthetic "textbook quality" training data can partly substitute for model and data scale.

An open-source 13-billion-parameter language model from Baichuan, released in Base and Chat versions in July 2023, trained on 1.4 trillion tokens and benchmarked against Meta's LLaMA-13B.

Qwen-VL is a family of vision-language models released in August 2023 that builds on the Qwen language model to caption images, answer questions about them, locate objects and read text, with open Base and Chat versions.

Phi-1.5 is a 1.3-billion-parameter language model from Microsoft Research, trained on curated synthetic "textbook" text rather than web crawls; its report claims natural-language performance comparable to models five times larger.

PLaMo-13B is a 13-billion-parameter, LLaMA-based language model from Preferred Networks, pre-trained on English and Japanese open data and released on Hugging Face in September 2023 under the Apache-2.0 licence.

DeepSeek's first model release: a family of open-source code models from 1.3B to 33B parameters, trained from scratch on 2 trillion tokens and reported to beat Codex and GPT-3.5 on several benchmarks.

GraphCast is a Google DeepMind machine-learning model that makes global weather forecasts up to 10 days ahead, producing a 10-day forecast in under a minute on a single TPU and outperforming ECMWF's HRES on most tested variables.

Stable Video Diffusion is Stability AI's image-to-video model, released on 21 November 2023 as a research preview that turns a single still image into a clip of a few seconds.

DeepSeek LLM is DeepSeek's first general-purpose language model series, released on 29 November 2023 in 7B and 67B sizes, each with a base version and a chat version.

Phi-2 is a 2.7-billion-parameter base language model from Microsoft Research, announced on 12 December 2023. Microsoft reported that it matched or beat models up to 25 times larger on complex benchmarks, making it a reference point for small-model training.

DeepSeekMoE is a mixture-of-experts architecture from DeepSeek, released in January 2024, that splits experts finely and keeps a few shared experts always active so that each expert holds focused knowledge. Its 16B open-weights model matched larger dense models at a fraction of the computation.

AlphaGeometry is a Google DeepMind system that pairs a neural language model with a symbolic deduction engine to solve olympiad geometry problems, reaching near gold-medal level on a benchmark of 30 problems.

Yi-VL-34B and Yi-VL-6B are open vision-language models from 01.AI, released on 23 January 2024. They read images and text together and ranked first among open models on the MMMU and CMMMU benchmarks.

Dolma is an openly released English corpus of three trillion tokens, built from web text, papers, code, books, social media and Wikipedia, with a paper documenting both the dataset and the pipeline used to curate it.

Aya 101 is a 13-billion-parameter, instruction-tuned language model from Cohere For AI that follows instructions in 101 languages. It was released under Apache 2.0 in February 2024.

DeepSeekMath is a 7B-parameter open language model built for mathematical reasoning and released in 2024. It reached 51.7% on the competition-level MATH benchmark without external tools, and introduced GRPO, a reinforcement-learning algorithm that uses less memory than PPO.

Qwen1.5 is the Qwen family's open model release of February 2024, with base and chat models from 0.5B to 72B parameters, later extended to 110B, and a mixture-of-experts model.

StarCoder2 is a family of open code models in 3B, 7B and 15B sizes, released in February 2024 by BigCode (Hugging Face and ServiceNow) with NVIDIA and trained on The Stack v2, published together with its dataset and training code.

Mengzi3 is an open-source large language model series from Langboat, released in 8B and 13B sizes under Apache-2.0, built on the Llama architecture and trained further on trillions of multilingual tokens.

A sparse mixture-of-experts language model from Mistral AI, released in April 2024 under the Apache 2.0 licence with 141 billion total parameters, of which 39 billion are active per token.

OpenELM is a family of small open language models from Apple, published in four sizes from 270M to 3B parameters with its training framework, logs, checkpoints and MLX conversion code.

Octo is an open-source generalist robot policy: a transformer-based diffusion model trained on 800,000 robot trajectories that can drive a range of robots out of the box and be fine-tuned to new setups.

Yi-1.5 is an open-source family of language models from 01.AI, released in 34B, 9B and 6B sizes in base and chat forms, built by continuing to pre-train the earlier Yi models on a large new corpus.

Hunyuan-DiT is Tencent's open text-to-image diffusion transformer, built for fine-grained English and Chinese prompt understanding. Its 2024 report and weights were released publicly, and human evaluations placed it ahead of several open models but behind leading closed ones.

Aya 23 is a family of open-weight multilingual instruction-tuned models from Cohere For AI, released in 8-billion and 35-billion-parameter sizes in May 2024. It covers 23 languages and was reported to outperform Aya 101 and several contemporary open models.

Nemotron-4 340B is a family of open models from NVIDIA, released on 14 June 2024 as base, instruct and reward models. It was built to generate synthetic data for training other language models, and it fits on a single eight-GPU DGX H100.

An open-source mixture-of-experts code model from DeepSeek, released in June 2024, that widened language coverage and context length over its predecessor and reported benchmark results above several closed models.

Google's second-generation Gemma open models, announced on 27 June 2024 in 9-billion and 27-billion-parameter sizes, using grouped-query attention, an 8,192-token context window and a license permitting commercial use.

Kolors is Kuaishou's open-weight text-to-image model, released on 6 July 2024, built on latent diffusion and tuned for both Chinese and English prompts.

SmolLM is a family of small language models with 135M, 360M and 1.7B parameters, released openly by Hugging Face in July 2024 for on-device use and trained on a purpose-built corpus of generated textbooks, code and filtered web text.

Mistral NeMo is a 12-billion-parameter language model released by Mistral AI with NVIDIA in July 2024, notable for a 128K-token context window, a new multilingual tokenizer called Tekken, and an Apache 2.0 release.

SAM 2 is Meta's 2024 successor to the Segment Anything Model. It segments objects in both images and videos in real time, and its release included the SA-V video dataset.

Phi-3.5 is Microsoft's August 2024 update to its small Phi models, released in three versions — mini, vision and the line's first mixture-of-experts model — under the MIT licence.

CogVideoX is an open-source family of text-to-video models from Zhipu AI and Tsinghua University, released starting in August 2024 and derived from the earlier open-source CogVideo.

EXAONE 3.0 7.8B is the first openly released model in LG AI Research's EXAONE family: an instruction-tuned model strong in Korean, published with gated weights on Hugging Face.

Jamba 1.5 is AI21 Labs' family of instruction-tuned language models, Mini and Large, which combine Transformer and Mamba layers, offer a 256,000-token effective context and ship with open weights.

Qwen2-VL is Alibaba's vision-language model released on 29 August 2024. It understands videos longer than 20 minutes, reads text in many languages, and can act as an agent on phones and robots.

OLMoE is a fully open sparse mixture-of-experts language model from Ai2: 7 billion total parameters, 1 billion active per token, pretrained on 5 trillion tokens, with weights, data, code and logs released.

DeepSeek-V2.5 is a model released on 5 September 2024 that merged DeepSeek's chat and code models into one, keeping both conversational and coding ability while improving safety scores.

Yi-Coder is a family of open-source code models from 01.AI, released in September 2024 in 1.5B and 9B sizes, each with base and chat versions, covering 52 programming languages with context up to 128K tokens.

Pixtral 12B is Mistral AI's first multimodal model, pairing a 12B language decoder with a 400M vision encoder. Released openly under Apache 2.0 in September 2024, it reads images at native resolution and was retired at the end of 2025.

Molmo is a family of open vision-language models released by Ai2 on 25 September 2024 that can point at objects in images, with weights, code, data and evaluations published openly.

Aya Expanse is a family of multilingual open-weight language models released by Cohere For AI in October 2024 in 8B and 32B sizes, covering 23 languages.

A family of text-to-image models from Stability AI, announced in October 2024: the 8.1-billion-parameter Large, a 4-step Turbo variant and the 2.5-billion-parameter Medium, released under a community licence.

SmolLM2 is Hugging Face's second family of small language models, released in November 2024 at 135M, 360M and 1.7B parameters, with open weights and a data-centric training recipe.

Tülu 3 is Ai2's open post-training recipe and model family, released in 8B and 70B sizes on top of Llama 3.1 and combining instruction tuning, preference tuning with on-policy data, and reinforcement learning with verifiable rewards.

OLMo 2 is the second generation of the Allen Institute for AI's fully open language model family, released in 7B and 13B sizes with weights, data, code and training recipes all public.

QwQ-32B-Preview is an experimental reasoning research model released by the Qwen team on 28 November 2024, with 32B parameters, a 32K-token context and open Apache 2.0 weights. It scored strongly on maths benchmarks but the team documented clear failure modes.

A family of three instruction-tuned Korean–English language models released by LG AI Research in December 2024, ranging from 2.4B to 32B parameters, with 32K-token context and weights out under a research-use licence.

Llama 3.3 70B is a text-only, instruction-tuned model Meta released on 6 December 2024. Meta said it performs close to the 405B Llama 3.1 at much lower cost and can run on a typical developer workstation.

A family of open mixture-of-experts vision-language models from DeepSeek, released in three sizes from 1.0B to 4.5B activated parameters for document, chart and OCR understanding, succeeding DeepSeek-VL.

Falcon3 is TII's family of open-weight language models from 1B to 10B parameters, released in base and instruct form; the 10B instruct model appeared on Hugging Face in December 2024 with a 32K context and a custom licence.

An open-weights 3-billion-parameter language model from Infinigence AI, released on Hugging Face in December 2024 under Apache-2.0, built on a Llama-2 architecture with a 32K-token context for local deployment.

Megrez-3B-Omni is an open-source model from December 2024 that understands images, text and audio on end-side devices, pairing a 2.29B-parameter language backbone with SigLip and Whisper encoders for about 4B parameters in total.

Qwen2.5-VL is Alibaba's vision-language model family released in January 2025 in 3B, 7B, 32B and 72B sizes. It reads charts and documents, localises objects, works as a visual agent and understands videos over an hour long.

NVIDIA Cosmos is a platform of world foundation models that generate physics-based video to train robots and autonomous vehicles, released as open-weight models in January 2025.

UI-TARS is a GUI agent model from ByteDance Seed: it takes only screenshots as input and outputs keyboard and mouse actions, reported state-of-the-art results on more than 10 benchmarks, and was released with open weights under Apache-2.0.

Hunyuan3D 2.0 is Tencent's large-scale system for generating high-resolution textured 3D assets: a shape diffusion transformer plus a texture model, released with code and pretrained models on 21 January 2025 alongside its technical report.

Baichuan-M1 is Baichuan's medical model line, released on 24 January 2025 with Baichuan-M1-preview and the open Baichuan-M1-14B, which Baichuan described as trained from scratch for medicine.

Janus-Pro is DeepSeek's January 2025 multimodal model that handles both image understanding and text-to-image generation in one system, released in 1B and 7B sizes as a stronger successor to Janus.

Mistral Small 3 is a 24-billion-parameter open-weight language model from Mistral AI, released in January 2025 under Apache 2.0 and tuned for low-latency inference on a single GPU or laptop.

Step-Audio is an open family of speech-interaction models released by StepFun on 17 February 2025. It includes Step-Audio-Chat, with 130 billion parameters, and Step-Audio-TTS-3B.

Phi-4-mini is a 3.8B-parameter text model and Phi-4-multimodal a 5.6B model that adds images and speech, both released by Microsoft in February 2025 as the small, efficiency-focused members of the Phi-4 family.

AI21 Labs' March 2025 hybrid SSM-Transformer instruction-following models, released as Jamba Large 1.6 and Jamba Mini 1.6 with 256k-token context, gated open weights and benchmarks AI21 compared against Mistral Large 2, Llama 3.3 70B and Command R+.

Cohere's first vision-language model, released in March 2025 as open-weight 8B and 32B versions. It handles images and text in 23 languages and, in Cohere's comparisons, beats several much larger models, under a non-commercial licence.

Reka Flash 3 is a 21-billion-parameter general-purpose reasoning model from Reka, trained from scratch and released with open weights under the Apache 2.0 licence on 11 March 2025.

The largest model in Ai2's OLMo 2 family: a 32-billion-parameter language model released with its data, code, weights and training details, and reported to outperform GPT-3.5-Turbo and GPT-4o mini on academic benchmarks.

Mistral Small 3.1 is an open-weight model released by Mistral AI in March 2025 that adds image understanding and a 128K-token context window to the Small line, runs on a single consumer GPU, and was later superseded by newer Small releases.

Llama Nemotron is NVIDIA's family of open reasoning models in Nano, Super and Ultra sizes, launched in March 2025 and built on Meta's Llama 3 models.

DeepSeek-V3-0324 is a March 2025 update to DeepSeek-V3 that keeps the same model structure while raising benchmark scores and moving to the MIT License.

Qwen2.5-Omni is Alibaba's end-to-end multimodal model that takes text, images, audio and video as input and answers with text and natural speech. The 7B version was released on 26 March 2025.

Kimi-VL is an open-source vision-language model from Moonshot AI, released in April 2025. It pairs a 16B-parameter mixture-of-experts language model with a native-resolution vision encoder, so only about 3B parameters are active at a time.

xLAM-2 is Salesforce's family of large action models, from 1 billion to 70 billion parameters, trained on simulated agent–human data and tuned for multi-turn tool use rather than single-call function calling.

ByteDance Seed's GUI agent model from April 2025 and the successor to UI-TARS. Its 7B version is open-source under Apache-2.0, and the family reports state-of-the-art results on several screen-control benchmarks.

An open image-editing model from StepFun released in April 2025 under Apache 2.0, pairing a multimodal language model with a diffusion image decoder and shipping weights, inference code and the GEdit-Bench evaluation set.

DeepSeek's open-source model for formal theorem proving in Lean 4, trained with a subgoal-decomposition pipeline; it reached an 88.9% pass ratio on MiniF2F-test and introduced the ProverBench benchmark.

A 14-billion-parameter open-weight reasoning model released by Microsoft in April 2025, built by fine-tuning Phi-4 on reasoning traces generated by OpenAI's o3-mini and published under the MIT licence.

Seed-Coder is a family of open code models released by ByteDance Seed in May 2025, with 8B-parameter Base, Instruct and Reasoning variants trained on data filtered by language models rather than hand-written rules.

Devstral is Mistral AI's family of open-weight models for agentic coding, first released in May 2025 with All Hands AI; the first version scored 46.8% on SWE-Bench Verified and could run on a single consumer GPU.

Sarvam-M is Sarvam AI's open-weights 24-billion-parameter model, post-trained from Mistral Small for eleven Indian languages. It runs in think and non-think modes and reports large gains on Indic, maths and coding benchmarks.

An eight-terabyte collection of public domain and openly licensed text for pretraining language models, released together with two 7B-parameter models trained on it to show the data is enough.

MiniCPM4 is a language model built for end-side devices rather than servers, pairing a trainable sparse attention mechanism with a compact data recipe and an inference stack tuned for long-context speed.

Magistral is Mistral AI's first family of reasoning models, launched in June 2025 with an open-weight Small model and an enterprise Medium model. It supports multilingual reasoning and was later updated and retired.

Gemini CLI is an open-source AI agent released by Google on 25 June 2025 that brings Gemini models into the terminal, with a free personal-account tier and support for the Model Context Protocol.

Gemma 3n is a mobile-first open model in Google's Gemma family, released in June 2025 in two sizes that run in roughly 2–3 GB of memory and natively accept image, audio, video and text input.

Hunyuan-A13B is Tencent's open-weight mixture-of-experts language model, released on 27 June 2025 with 80 billion total parameters, 13 billion active per token and a 256K context.

Jamba 1.7 is a July 2025 update to the Jamba family, with Large and Mini versions offering 256k-token context, nine languages, and improved grounding and steerability.

SmolLM3 is a 3-billion-parameter open model released by Hugging Face on 8 July 2025. It supports six languages and up to 128K tokens of context, with switchable reasoning, under Apache 2.0.

Voxtral is Mistral AI's family of speech-understanding models, released on 15 July 2025 in 24B and 3B sizes under Apache 2.0; it transcribes long audio, answers questions about it, and turns spoken requests into function calls.

Megrez2-3x7B-A3B is a mixture-of-experts language model from Infinigence AI built for on-device deployment, in which groups of adjacent layers share one pool of experts so that it stores 7.5 billion parameters but activates only 3 billion per token.

Step-Audio 2 is a speech model from StepFun that can understand audio and hold spoken conversations. Its mini versions were released under the Apache 2.0 license in 2025.

HunyuanWorld 1.0 is Tencent's open-source model for generating explorable, mesh-exportable 3D worlds from text or images. Released in July 2025, it was followed by a series of lighter and faster versions.

An open family of video generation models released in July 2025 under the Apache 2.0 licence, notable for bringing a two-expert mixture-of-experts design to video diffusion and for a 5B model that runs on a single consumer GPU.

Baichuan-M2 is an open-source medical-enhanced model with 32 billion parameters, built on Qwen2.5-32B and released under Apache 2.0 for research and reference.

A 20-billion-parameter open-weights image generation model released by Qwen in August 2025, notable for rendering text inside images, especially Chinese.

A vision-language model released by Zhipu on 11 August 2025, built on GLM-4.5-Air and covering image, video, long-document and GUI tasks; Zhipu reports state-of-the-art results at its scale on 42 benchmarks.

Qwen3-Omni is an open-weight multimodal model released by the Qwen team in September 2025 under Apache 2.0, able to take in text, audio and video and to answer in text or speech across many languages.

Qwen3-Next is an open-weight model from Alibaba's Qwen team, released in September 2025 under Apache 2.0. It has 80B total parameters, only 3B active per token, and a hybrid attention design later used in Qwen3.5.

GLM-4.6 is an open-weights large language model released by Zhipu in late September 2025, with a 200K-token context window, about 357 billion parameters and an MIT licence, aimed at coding, reasoning and agent work.

A 1.7-billion-parameter English model from Writer, fine-tuned from Qwen2.5-1.5B and released under Apache 2.0 with a 131,072-token context window, presented around grade-school mathematics.

A deep-thinking mixture-of-experts model from Baidu with 21 billion total and 3 billion active parameters, a 128K context window and an Apache 2.0 license, open-sourced in September 2025 alongside ERNIE X1.1.

A 1.7-billion-parameter reasoning model released by Writer in September 2025, fine-tuned from Nvidia's OpenReasoning-Nemotron-1.5B, with strong competition-mathematics scores and an Apache 2.0 licence.

An experimental DeepSeek model released on 29 September 2025 that introduced DeepSeek Sparse Attention to make long-context training and inference cheaper, shipped with open weights and an immediate API price cut.

OpenEnv is an open framework and community hub from Hugging Face for building reinforcement-learning environments as containerized services that expose an agent interface, MCP and the Gym training protocol. It was contributed to the Agentic AI Foundation in October 2026.

Tinker is a managed API from Thinking Machines Lab, announced on 1 October 2025, for fine-tuning language models while users choose the algorithms and data.

A 3-billion-parameter open reasoning model from AI21 Labs, released under the Apache 2.0 licence with a hybrid Transformer-Mamba design, a 256k-token context window and local execution on phones, Macs and PCs.

DeepSeek-OCR is an open-source model of about 3B parameters that renders long text as 2D images and reads it back from a small number of vision tokens, testing whether optical compression can stand in for very long text contexts.

Baidu's open-weight multimodal reasoning model from November 2025: 28B total parameters with 3B active per token, "Thinking with Images" zoom-and-tool reasoning, and Apache 2.0 weights.

SAM 3 is Meta's segmentation model from November 2025. It finds, segments and tracks every instance of a concept named by a short text prompt or an example image, and Meta reported it doubles the accuracy of existing systems on this task.

MiniMax-M2.1 is an open-weight language model released in December 2025 as the successor to M2, aimed at software engineering and multilingual coding, with a 229B-parameter checkpoint and large reported gains on coding benchmarks.

Three small dense models from Mistral AI — 3B, 8B and 14B — released in December 2025 under Apache 2.0, each in base, instruct and reasoning variants with image understanding.

Devstral 2 is Mistral AI's 123B-parameter agentic coding model, released in December 2025 alongside the Mistral Vibe CLI and scoring 72.2% on SWE-bench Verified. It was deprecated in May 2026 and retired that July, replaced by Mistral Medium 3.5.

Mistral Vibe is Mistral AI's open-source command-line coding agent, announced in December 2025 with Devstral 2; it later grew into a broader agent product with cloud sandbox sessions, a VS Code extension and monthly plans.

Molmo 2 is the second generation of Ai2's open vision-language models, released on 11 December 2025, which extends the Molmo line from still images to video with pointing, tracking and timestamped answers.

NVIDIA Nemotron 3 is an open family of hybrid mixture-of-experts language models, announced in December 2025 in Nano, Super and Ultra sizes, with up to one million tokens of context.

Baichuan-M3 is a new-generation open-source medical-enhanced language model with 235 billion parameters, built on Qwen3-235B-A22B and released under Apache 2.0 in January 2026.

MiniMax-M2.7 is a 229B-parameter language model released by MiniMax in March 2026, built for agentic work and presented by the company as its first model to take part in its own improvement.

Phi-4-reasoning-vision-15B is Microsoft's 15-billion-parameter open-weight vision-language model, released on 4 March 2026 under the MIT licence, built to switch between step-by-step reasoning for math and science and direct answers for image perception tasks.

Ai2's fully open 7B model, which mixes Transformer attention with Gated DeltaNet linear recurrent layers and matches its predecessor's MMLU accuracy using 49% fewer training tokens.

Mistral Small 4 is an open-weight mixture-of-experts model released in March 2026 that folds instruction-following, step-by-step reasoning and agentic coding into one model, with a switch that controls how much reasoning it does.

Kimi K2.6 is an open-weight Moonshot AI model released in April 2026, focused on long-horizon coding, with a 262,144-token context, text and image input, and Agent Swarm scaled to 300 sub-agents.

SenseNova U1 is SenseTime's open-weight multimodal model family, first released in April 2026 under Apache 2.0, which understands and generates images without a separate visual encoder or VAE.

A 128B-parameter open-weights multimodal model from Mistral AI, listed in April 2026 for agentic and coding work, briefly the default in Le Chat before being superseded by Mistral Large 4.

Stability AI's 2026 audio generation family: three open-weight models and a hosted flagship, able to generate and edit music and sound effects up to about six minutes long.

Step 3.7 Flash is a StepFun open-weights model released on 29 May 2026. It adds native image input to Step 3.5 Flash, supports a 256K context, and is licensed under Apache 2.0.

SenseNova U1.5 is SenseTime's open-weight, 8-billion-parameter model that handles image understanding, reasoning and native 4K generation in a single network, without separate vision encoders or VAEs. It is released under the Apache License 2.0.

Granite 4.2 is IBM's open-weight model generation, released on 25 August 2026 in 3B, 8B and 30B dense sizes, with a reasoning-capable 8B model under the permissive Apache-2.0 licence.

MiniMax-M3.1-Flash is a sparse mixture-of-experts model from MiniMax with about 428B total parameters, 23B activated per token, text, image and video input and up to 1M tokens of context, released on Hugging Face in October 2026.

PLaMo 3 Translate is a family of translation-specialised language models from Preferred Networks, released in four sizes from 0.8B to 31B parameters, covering 53 languages and shipping in several quantised formats.

Nemotron 3.5 Transcribe is Nvidia's free, open-weight speech transcription model, released on 28 October 2026. It handles recordings up to an hour long, transcribes up to 40 languages and can separate up to eight speakers.

ERNIE 5.5 Flash Base is Baidu's openly published base checkpoint from November 2026: a text-only sparse mixture-of-experts model with 280B total and 14B activated parameters, released for fine-tuning rather than as a finished assistant.

Timothée Lacroix is a co-founder and the Chief Technology Officer of Mistral AI, and a co-author of the LLaMA paper and the Mistral 7B paper.

SLIM (Secure Low-Latency Interactive Messaging) is a secure transport protocol for agent traffic. It carries A2A, MCP and SLIMRPC over one encrypted overlay, lets agents connect outbound and be reached by name, and publishes SDKs for six languages.

All Hands AI builds OpenHands, an open platform for AI agents that do software development work: working from conversations tied to repositories, opening pull requests and running automations.

Coze Studio is an open-source, Apache-2.0 visual tool from the coze-dev GitHub organisation for building AI agents, apps and workflows, written in Go and React, deployable with Docker Compose, and connectable through an OpenAPI and a Chat SDK.

Dify is an open-source platform for building LLM applications, combining an AI workflow editor, a RAG pipeline, agent capabilities and model management in one interface, with managed cloud, VPC and self-hosted deployment options.

Clément Delangue is a French entrepreneur who co-founded Hugging Face in 2016 and runs it as CEO, leading its shift from a chatbot app to an open machine-learning platform and model hub.

Nat Friedman is a technology executive who led Xamarin as CEO, became CEO of GitHub after Microsoft acquired it, and later joined Meta to help lead Meta Superintelligence Labs.

Soccer Server is a software simulator of soccer, begun by Itsuki Noda as a platform for multi-agent systems research, which later became the official soccer server of RoboCup.

Thomas Wolf is a co-founder and chief science officer of Hugging Face, and the first author of the 2019 paper that introduced the company's open-source Transformers library to researchers and practitioners.

French entrepreneur who co-founded Hugging Face in 2016 and serves as its CTO, building the platform where open models and datasets are shared and speaking publicly for open-source AI.

Guillaume Lample is a co-founder and Chief Science Officer of Mistral AI. He was the last of 14 authors on the LLaMA paper and co-authored the Mistral 7B paper.

Connor Leahy is a German-American AI researcher and AI-safety advocate. He co-founded EleutherAI in 2020, co-founded the AI-safety company Conjecture, and in 2026 became US Director of the advocacy group ControlAI.

OASF is a standardized, extensible schema system from the AGNTCY project for describing AI agent attributes, skills and capabilities in machine-readable records, so that agents can discover and understand each other across protocols.

Codestral Mamba is a 7B open code model from Mistral AI, released in July 2024, that swaps the Transformer for the Mamba state-space architecture to get linear-time inference.

A 7-billion-parameter model released by Mistral AI on 16 July 2024 for mathematical and STEM reasoning, built on Mistral 7B, openly licensed, and now listed as deprecated.

NVLM is a family of multimodal large language models from NVIDIA, described in a paper posted to arXiv in September 2024; its flagship NVLM-D-72B was later released as open weights for non-commercial use.

NVIDIA's Llama-3.1-Nemotron-70B-Instruct is a version of Meta's Llama-3.1-70B-Instruct tuned with reinforcement learning from human feedback to give more helpful answers; on release it topped three automatic alignment benchmarks.

Nemotron Nano 2 is NVIDIA's 9B reasoning model, built on a hybrid Mamba-Transformer design and released with open weights and most of its training data; NVIDIA reports much higher throughput than similar-sized models.

Voxtral TTS is Mistral AI's first text-to-speech model, released in March 2026: about 4B parameters, nine languages, cloning from a three-second clip, open weights for non-commercial use and an API priced per character.

Blackhole is Tenstorrent's AI accelerator chip; Galaxy Blackhole is a server holding 32 of them, rated at 23 PFLOPS of block FP8, with Ethernet links wiring chips and clusters together.