Large language models Models

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.

GPT-3 is an autoregressive language model with 175 billion parameters, described in a May 2020 paper. It could perform new tasks from a few examples in the prompt, without any gradient updates, and it was first offered through OpenAI's API.

InstructGPT is a family of GPT-3 models trained with reinforcement learning from human feedback so that they follow user instructions. OpenAI announced them in January 2022 and made them the default models in its API.

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.

GPT-4 is OpenAI's large multimodal model, released on 14 March 2023. It accepts image and text input, scored near the top of human test-takers on a simulated bar exam, and was succeeded by GPT-4 Turbo, GPT-4o and GPT-5.

Gemini 1.0 is the first generation of Google DeepMind's multimodal model family, announced on 6 December 2023 in Ultra, Pro and Nano sizes; Google reported its Ultra version as the first model to beat human experts on MMLU.

Claude 3 Opus, announced on 4 March 2024, was the most capable model in the Claude 3 family. It added vision and launched with a 200K-token context window and a Needle In A Haystack recall above 99%.

GPT-4o is a multimodal model from OpenAI, released in May 2024, that takes text, audio, image and video as input and generates text, audio and image output within one neural network. It was removed from ChatGPT in February 2026.

Claude 3.5 Sonnet, released on 20 June 2024, was the first model of the Claude 3.5 family. It ran twice as fast as Claude 3 Opus at the mid-tier price and powered the new Artifacts and Projects features.

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.

OpenAI o1 is the first reasoning model series from OpenAI, introduced in September 2024. It thinks through a long internal chain of thought before answering, and it was the base for later reasoning models such as o3.

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.

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.

Gemini 2.5 Pro is Google's first model in the Gemini 2.5 family, released in March 2025 as a "thinking model" with a 1-million-token context window, debuting at number one on LMArena.

OpenAI's second-generation reasoning model, announced in December 2024 and released in April 2025, which posted large gains over o1 on science, software-engineering and competitive-programming benchmarks before being succeeded by GPT-5.

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.

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.

GPT-5 is OpenAI's fifth GPT foundation model, released on 7 August 2025. It pairs a fast model with a deeper reasoning model and a router that chooses between them for each request.

Gemini 3 Pro is the first model of Google's Gemini 3 generation, released in preview in November 2025 with a 1-million-token context window and top-ranked results on arena leaderboards and reasoning, coding and multimodal benchmarks.

Claude Mythos Preview, announced on 7 April 2026, is an unreleased frontier model that Anthropic made available only to restricted partners through Project Glasswing, a programme for securing critical software.

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.

Claude Fable 5 is Anthropic's Mythos-class model for general use, released on 9 June 2026. Its sibling Claude Mythos 5 is the same model with some safeguards lifted for vetted users.

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.

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.

GPT-6 is OpenAI's sixth-generation model family, launched from 3 September 2026 with GPT-6 Astra, followed by Sol, Luna and Instant. Astra was the first OpenAI model to reach its internal critical cybersecurity threshold.

Gemini 4 Argon is the first model in Google's Gemini 4 family, announced on 30 September 2026 and made generally available on 13 October 2026, built for long multi-step work and shipped with a one-million-token output limit.

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.

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.

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.

LaMDA is a family of conversational language models that Google announced in 2021 and described in a 2022 paper, notable for its work on safety and factual grounding in dialogue and for later powering Bard.

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.

ERNIE 3.0 is a 10-billion-parameter pre-trained language model from 2021 that trains on plain text plus a large-scale knowledge graph and fuses auto-encoding and auto-regressive networks, so one model handles both language understanding and generation.

OpenAI Codex is a 2021 GPT language model fine-tuned on public code from GitHub. It translates natural language into code, and was introduced alongside the HumanEval benchmark for testing code correctness.

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.

GPT-3.5 is the family of OpenAI language models between GPT-3 and GPT-4, released through API models such as text-davinci-002 and text-davinci-003 and underlying the first version of ChatGPT.

PaLM is a 540-billion-parameter dense Transformer language model announced by Google Research in April 2022, trained with the Pathways system across 6,144 TPU v4 chips; it set strong few-shot results on many benchmarks.

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.

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.

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.

GPT-3.5 Turbo was the chat-optimised GPT-3.5 model OpenAI released through its API on 1 March 2023, priced at a tenth of the cost of earlier models and later replaced in ChatGPT by GPT-4o mini.

Claude is the AI assistant Anthropic announced on 14 March 2023, its first publicly available assistant. It was built around training AI to be helpful, honest and harmless, and it started the Claude model line.

SenseNova is SenseTime's family of foundation models, unveiled on 10 April 2023 with a chatbot, an image generator and an avatar video generator, first offered to government and corporate clients rather than the public.

SparkDesk is iFlytek's cognitive large model, unveiled on 6 May 2023 as the company's answer to ChatGPT in education and enterprise uses, built on Huawei Ascend chips and followed by rapid version updates through 2024.

PaLM 2 is Google's second-generation Pathways language model, announced on 10 May 2023 in four sizes and used across more than 25 Google products, including Bard.

Claude 2 is the second major version of Anthropic's assistant model, released on 11 July 2023 with better performance and longer responses. It was the first Claude model open to the general public.

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.

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.

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.

Hunyuan is Tencent's first proprietary large foundation model, unveiled in September 2023 and offered to enterprises through Tencent Cloud. The line was later branded Hy.

GPT-4V is a version of GPT-4 that accepts image input alongside text, documented in OpenAI's system card of 25 September 2023 and released to developers through preview API models; image understanding later became native in GPT-4o.

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.

ERNIE 4.0 is Baidu's foundation model unveiled in October 2023, pitched as its most capable model and, in Robin Li's words, "not inferior in any aspect to GPT-4". It anchors Baidu's ERNIE Bot assistant and Qianfan platform.

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.

GPT-4 Turbo is a cheaper, more capable version of OpenAI's GPT-4, announced on 6 November 2023 with a 128,000-token context window and lower API prices.

Claude 2.1, released on 21 November 2023, doubled the context window to 200,000 tokens and cut false statements by half compared with Claude 2.0. It added tool use and system prompts.

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.

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.

A mid-size multimodal model in Google's Gemini 1.5 generation, announced in February 2024, known for a context window that reached one million tokens and later two million.

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.

Mistral Large is the French company Mistral AI's first flagship proprietary large language model, released on 26 February 2024 with a 32K-token context window, native fluency in five languages, and built-in function calling and JSON output.

Claude 3 Sonnet was the middle model of Anthropic's Claude 3 family, announced on 4 March 2024. It powered the free tier of claude.ai, offered a 200K-token context window, and was retired on 21 July 2025.

Claude 3 Haiku is the smallest and fastest model in Anthropic's Claude 3 family, announced in March 2024 with low per-token pricing, a 200K-token context window and image input; retired in April 2026.

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.

Cohere's 104-billion-parameter language model, announced in April 2024, is tuned for retrieval-augmented generation and multi-step tool use in business settings; it launched first on Microsoft Azure and was also released as open weights.

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.

SenseNova 5.0 is SenseTime's large language model released in April 2024, built on a mixture-of-experts architecture with a roughly 200K-token context window, which the company positioned as matching or surpassing GPT-4 Turbo.

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.

Yi-Large is a closed large language model with about one hundred billion parameters, released by 01.AI on 13 May 2024 and offered through its API platform; 01.AI reported top rankings for it on several public benchmarks.

ByteDance's Doubao model family, launched through Volcano Engine in May 2024, offered general-purpose, speech and image models at prices far below rivals, helping set off a price war among Chinese providers.

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.

iFlytek's large language model released on 27 June 2024 and trained entirely on a domestic platform co-built with Huawei; iFlytek presented it as reaching GPT-4 level while acknowledging weaker coding and multimodal abilities.

Step-2 is a trillion-parameter language model from StepFun built on a Mixture-of-Experts architecture. A preview appeared in March 2024; the official version launched at WAIC in July 2024.

A small, low-cost language model OpenAI released on 18 July 2024, priced far below GPT-4o and reported at 82% on MMLU; it replaced GPT-3.5 Turbo in ChatGPT on launch day.

Mistral AI's second-generation flagship model, released in July 2024 with 123 billion parameters, a 128K-token context window, wide language and code coverage, and weights published under a research license.

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.

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.

Yi-Lightning is 01.AI's flagship model from October 2024, built on an enhanced Mixture-of-Experts design. It ranked sixth overall on the LMSYS Chatbot Arena at launch and first among Chinese models.

The upgraded Claude 3.5 Sonnet, announced on 22 October 2024, raised coding and agentic scores and introduced computer use in public beta, the first such offer from a frontier AI model.

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.

Amazon Nova is Amazon's family of foundation models, introduced on 3 December 2024 and offered exclusively in Amazon Bedrock. It spans text understanding models from Micro to Pro, plus Canvas for images and Reel for video, and was succeeded by Nova 2 in December 2025.

Gemini 2.0 Flash is the first model of Google's Gemini 2.0 generation, released as an experimental model in December 2024 with multimodal output and native tool calling, and made generally available in February 2025.

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.

iFlytek Spark X1 is a Chinese deep-reasoning model released in January 2025 and trained entirely on domestic computing hardware, with later upgrades benchmarked against OpenAI's reasoning models.

Kimi k1.5 is a multimodal reasoning model released by Moonshot AI on 20 January 2025, which the company said matched OpenAI's o1 in mathematics, coding and multimodal reasoning and which was trained with reinforcement learning rather than tree search or process reward models.

Doubao-1.5-pro, released by ByteDance on 22 January 2025, is a closed multimodal model built on a sparse mixture-of-experts design. It was offered through Volcano Engine at low API prices.

Qwen2.5-Max is Alibaba's large mixture-of-experts model, announced in January 2025. It was offered through Qwen Chat and the Alibaba Cloud API, and its weights were not released.

OpenAI's small reasoning model released on 31 January 2025, offered to all ChatGPT users including the free tier, with three reasoning-effort levels and developer features such as function calling and Structured Outputs; succeeded by o4-mini in April 2025.

Grok 3 and the cheaper Grok 3 mini are xAI's reasoning models from February 2025. Grok 3 added a Think mode, a 1-million-token context window and the DeepSearch research agent.

Claude 3.7 Sonnet, released on 24 February 2025, was described by Anthropic as the first hybrid reasoning model on the market, able to answer quickly or think step by step at length. It launched with Claude Code.

Hunyuan Turbo S is a fast-thinking model released by Tencent on 27 February 2025, built on a hybrid Mamba-Transformer design with 560 billion total parameters. Its weights were not released.

GPT-4.5 is a large language model OpenAI released on 27 February 2025 under the code name "Orion". It was its largest chat model at the time, priced far above GPT-4o, and was retired from general availability within months.

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.

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.

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.

Command A is Cohere's 111-billion-parameter model, released in March 2025 with a 256k-token context window. Cohere said it runs on two GPUs and delivers 150% higher throughput than Command R+ 08-2024.

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.

ERNIE X1 is Baidu's deep-thinking reasoning model released on 16 March 2025 alongside ERNIE 4.5, notable for tool use, multimodal input and low pricing, and later followed by X1 Turbo and X1.1.

Hunyuan-T1 is Tencent's deep-reasoning model, officially released on 21 March 2025 and built on the Hunyuan-TurboS base. Tencent did not release its weights.

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.

Seed-Thinking-v1.5 is a reasoning model from ByteDance Seed: a 20B-activated, 200B-total mixture-of-experts model trained with reinforcement learning to think before answering, published with a technical report and benchmark tables but no model weights.

SenseTime's SenseNova V6 is a native mixture-of-experts multimodal foundation model with over 600 billion parameters, released on 10 April 2025 in general, reasoning and real-time interactive variants.

OpenAI's April 2025 family of three API models — GPT-4.1, GPT-4.1 mini and GPT-4.1 nano — offering a context window of over a million tokens, low prices per token and stronger coding scores. It was succeeded by GPT-5.

A small reasoning model released by OpenAI in April 2025 alongside o3, built for fast, low-cost reasoning; with a Python interpreter it reached 99.5% pass@1 on AIME 2025, and it was later succeeded by GPT-5 mini.

A model in Google's Gemini 2.5 family, released in preview in April 2025 and generally available that June. Google called it its first fully hybrid reasoning model, letting developers turn thinking on or off with a token budget.

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.

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.

Claude Opus 4 and Claude Sonnet 4, announced on 22 May 2025, were hybrid models with extended thinking. Anthropic called Opus 4 the best coding model in the world, and Claude Code became generally available the same day.

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.

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.

ByteDance Seed's general-purpose model series, announced on 11 June 2025 as Doubao Large Model 1.6, combining multimodal input, a 256K context window and a mode that decides per prompt whether to reason before answering.

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.

Grok 4 and Grok 4 Heavy are xAI's models from July 2025. Grok 4 has a 256,000-token context and was trained with reinforcement learning at pretraining scale, while Heavy runs parallel test-time compute.

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.

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.

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.

An enhanced reasoning mode for Gemini 2.5 Pro that weighs multiple hypotheses in parallel before answering, announced experimentally in 2025 and known for reaching gold-medal standard at the International Mathematical Olympiad.

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-Max is Alibaba's proprietary trillion-parameter language model, released in September 2025 and served through Alibaba's API. It is the Max-tier flagship that followed Qwen2.5-Max.

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.

Claude Sonnet 4.5, released on 29 September 2025, was a drop-in replacement for Sonnet 4 at the same price. Anthropic reported that it could stay focused on complex tasks for more than 30 hours.

GPT-5.1 is an update to GPT-5 released by OpenAI on 12 November 2025. It added a warmer default personality with selectable styles, and its API version has been scheduled for shutdown in 2027.

ERNIE 5.0 is Baidu's natively omni-modal foundation model, unveiled in November 2025 and described as having 2.4 trillion parameters. It is proprietary and was made available to enterprises and consumers in January 2026.

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.

Claude Opus 4.5, released on 24 November 2025, cost a third as much as Opus 4.1 per token and introduced an effort parameter that lets developers trade capability for time and cost. Claude Opus 4.6 succeeded it.

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.

Gemini 3 Deep Think is Google's enhanced reasoning mode for Gemini 3, announced with Gemini 3 Pro on 18 November 2025 and released to Google AI Ultra subscribers on 3 December 2025, with an upgraded version following in February 2026.

Tencent's flagship model released in December 2025, offered in Think and Instruct versions, built on a 406-billion-parameter mixture-of-experts architecture with a 256K-token context window.

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.

GPT-5.2 is a model family OpenAI released on 11 December 2025, with Instant, Thinking and Pro versions and a coding variant. It was aimed at professional work such as spreadsheets and presentations.

Gemini 3 Flash is a fast, lower-cost model in Google's Gemini 3 family, released on 17 December 2025. It scored close to Gemini 3 Pro on several benchmarks while using fewer tokens and costing far less per token.

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.

Released on 5 February 2026, Claude Opus 4.6 was an upgrade to Anthropic's smartest model. It was the first Opus-class model with a 1M-token context window, in beta at launch, and it introduced agent teams in Claude Code.

GPT-5.3-Codex is a coding model OpenAI released on 5 February 2026, which the company called its first model that was instrumental in creating itself and pitched for repository search, terminal commands and debugging as well as writing code.

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.

Seed2.0 is ByteDance's February 2026 Doubao model series, offered in three agent-oriented sizes with low token pricing and reported benchmark results.

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.

Released on 17 February 2026 with a 1M-token context window in beta, Claude Sonnet 4.6 kept the price of Sonnet 4.5 and became the default model for Free and Pro users on claude.ai.

Gemini 3.1 Pro is Google's preview upgrade to Gemini 3 Pro, released on 19 February 2026, scoring a verified 77.1% on ARC-AGI-2 and shipped through the Gemini API, the Gemini app and NotebookLM.

GPT-5.4 is a model OpenAI released on 5 March 2026 in Thinking and Pro versions. It added built-in computer use and improved deep research, and it was the model that succeeded GPT-5.2.

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.

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.

Muse Spark is the first model from Meta Superintelligence Labs, released on 8 April 2026 as a closed model that powers the Meta AI app and meta.ai. An open-weight sibling followed later.

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.

Released on 16 April 2026 at the same price as Opus 4.6, Claude Opus 4.7 added an xhigh effort level and accepted much larger images. It was the first model to test automatic blocking of high-risk cybersecurity requests.

GPT-5.5 is an OpenAI model released on 23 April 2026 as GPT-5.5 Thinking and Pro, with an API version the next day. It succeeded GPT-5.4 and had a cybersecurity variant in limited preview.

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.

Laguna M.1 is Poolside's 225-billion-parameter mixture-of-experts model for long-horizon agentic coding, activating 23 billion parameters per token. Its weights reached Hugging Face seven weeks after launch.

Gemini 3.5 Flash is Google's first Gemini 3.5 model, announced on 19 May 2026 and built for agentic and coding work; it became the default model in the Gemini app and in AI Mode in Search.

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]

MAI-Thinking-1 is Microsoft AI's flagship reasoning model, launched on 2 June 2026 at Microsoft Build. Microsoft said it was preferred to Anthropic's Claude Sonnet 4.6 in blind human evaluations, and that developers could fine-tune its weights for the first time.

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.

ByteDance Seed's Seed2.1, released in June 2026 in Pro and Turbo versions, is a Doubao-family model aimed at real productivity work, with reported gains in agent ability, coding, knowledge, reasoning and multimodal understanding.

Claude Sonnet 5, released on 30 June 2026, is Anthropic's most agentic Sonnet model. It can make plans, use browsers and terminals, and run autonomously, at an introductory price of $2 and $10 per million tokens.

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.

OpenAI's three-model family released on 9 July 2026 — Luna, Terra and Sol, ordered from least to most capable — with Sol pitched as the company's strongest coding and agent model.

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.

Claude Opus 5, released on 24 July 2026 at $5 and $25 per million tokens, is Anthropic's most aligned model to date and its most capable generally available model for scientific research.

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.

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.

Step 5 Preview is a preview release of StepFun's flagship foundation model: a sparse mixture-of-experts system with 600 billion total parameters, a 1-million-token context window and published weights, released in September 2026.

Claude Fable 5.1, released on 1 September 2026, keeps the $10 and $50 per million token price of Fable 5, with cache reads 75% cheaper. Its sibling Claude Mythos 5.1 is limited to trusted-access programmes.

Gemini 3.8 Flash is Google's fast, low-cost model released on 2 September 2026, alongside a cybersecurity variant, Gemini 3.8 Flash Cyber, with introductory pricing that doubles at the start of 2027.

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.

Claude Opus 5.5, released on 22 September 2026, is the first model in Anthropic's Claude 5.5 family. Anthropic said it performs at the level of Fable 5.1 on most work, at about 40% lower cost than Opus 5.

Claude Sonnet 5.5, released on 28 September 2026, is the second model in the Claude 5.5 family and Anthropic's fastest Sonnet to date. It costs $2 and $10 per million tokens, with cache reads halved in October 2026.

OpenAI's late-2026 model family: Sol, released at DevDay on 29 September 2026, and the faster, cheaper Terra on 26 October 2026. A planned Astra version was withheld over safety concerns.

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.

Claude Haiku 5.5, released on 7 October 2026, is the third model in the Claude 5.5 family. Anthropic called it the cheapest, fastest and most capable small model it had released, at about 75% less cost to run on average.

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.

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.

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.

iFlytek's Spark X2.6 is a device-cloud model family unveiled in October 2026, pairing a 293-billion-parameter mixture-of-experts cloud model with smaller on-device models and a router that decides where each task runs.

Gemini 4 Carbon is a Google DeepMind frontier model announced on 28 October 2026, two weeks after Gemini 4 Argon, with Google claiming state-of-the-art cybersecurity and long-horizon capabilities.

OpenAI's cybersecurity-focused model, released on 5 November 2026 and limited to the top tier of its Daybreak Red programme; OpenAI says it surfaced 948 potential Linux kernel issues and 81 novel Firefox vulnerabilities.

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.

Meena is a 2.6-billion-parameter open-domain chatbot from Google, trained end-to-end on filtered social media conversations. Its 2020 paper introduced the SSA human-evaluation metric and linked next-token perplexity to human-judged chat quality. The work was later renamed LaMDA.

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.

Jurassic-1 is the first family of large language models from AI21 Labs, announced with the AI21 Studio developer platform in August 2021. Its largest model, Jumbo, has 178 billion parameters.

Megatron-Turing NLG 530B is a 530-billion-parameter language model announced by NVIDIA and Microsoft on 11 October 2021, then the largest monolithic transformer language model, trained on NVIDIA's Selene supercomputer with Megatron-LM and DeepSpeed combined.

Gopher is DeepMind's 280-billion-parameter language model, announced in December 2021 alongside a study of what scale does to language models and a companion taxonomy of their risks.

ERNIE 3.0 Titan is a Chinese pre-trained language model with over 260 billion parameters, described by its authors as the largest dense Chinese model of its time and reported to beat state-of-the-art systems on 68 NLP datasets.

AlphaCode is a DeepMind code-generation system for competitive programming, announced in February 2022. On Codeforces contests held after its training data, it reached an estimated rank around the median participant. A Gemini-based AlphaCode 2 followed in December 2023.

Flamingo is a DeepMind visual language model announced in April 2022. It takes prompts that mix images, videos and text and replies in language, learning new tasks from only a few examples.

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.

A pair of medical question-answering language models described in arXiv papers of 26 December 2022 and 16 May 2023; the first introduced the MultiMedQA benchmark, and Med-PaLM 2 reached up to 86.5% on MedQA.

Cohere's first flagship instruction-following generative model, released in 2023 and distributed through Cohere's API and cloud marketplaces such as Amazon SageMaker JumpStart and Oracle Cloud Infrastructure, later superseded by Command R and deprecated in 2025.

Jurassic-2 is a family of large language models released by AI21 Labs in March 2023 as the successor to Jurassic-1, offered in three sizes with instruction-tuned variants, multilingual support and task-specific APIs; it was succeeded by Jamba in 2024.

A lighter, cheaper and faster version of Anthropic's Claude model, released in 2023 for business use through the API and retired in November 2024.

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.

Amazon Titan is a family of foundation models built by Amazon for Amazon Bedrock, covering text generation, embeddings and image generation. It was announced in 2023 and later succeeded by Amazon Nova.

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.

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.

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.

ERNIE 3.5 is a Baidu large language model announced in June 2023 as the upgrade behind the ERNIE Bot chatbot, adding a plugin architecture and, according to Baidu, outperforming ChatGPT on several benchmarked abilities.

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.

Skylark, or Yunque (云雀), is ByteDance's first large language model. Released in August 2023, it powered the Doubao chatbot and was relaunched in May 2024 as the Doubao model family.

SparkDesk V2.0 is the second version of iFlytek's large language model, launched on 15 August 2023 with upgraded coding and multimodal abilities, and released alongside the iFlyCode 1.0 programming assistant.

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.

iFlytek's Spark V3.0, released on 24 October 2023, is a large language model the company said beat GPT-3.5 in Chinese; it arrived with a domestic Huawei-built computing platform and twelve industry models.

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.

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.

Baichuan 3 is a closed language model with more than one hundred billion parameters, released by Baichuan on 29 January 2024. The company reported that it matched or beat GPT-4 on several Chinese benchmarks and on Chinese medical tasks.

Spark V3.5 is a large language model that iFlytek released on 30 January 2024. It was the first Spark model trained entirely on the domestic FlyingStar One computing platform, and iFlytek compared it with GPT-4 Turbo.

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.

SenseNova 4.0, announced on 8 February 2024, upgraded SenseTime's model family with 4K, 32K and 128K context versions, specialised models and a first multimodal tool-calling API.

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.

Cohere's 35-billion-parameter language model announced in March 2024, built for retrieval-augmented generation and tool use in production, with a 128k-token context window and weights released for research.

Step-1V is a roughly 100-billion-parameter multimodal model from StepFun, unveiled in March 2024, that reads text, data and charts in images and supports video understanding; it ranked first on OpenCompass at launch and was succeeded by Step-1.5V.

Step-1 is StepFun's first language model, a system of roughly one hundred billion parameters unveiled in Shanghai on 23 March 2024 alongside the multimodal Step-1V and a preview of Step-2.

Grok-1.5 is xAI's upgrade to Grok-1, with better reasoning and a 128,000-token context window. Its companion Grok-1.5V was xAI's first multimodal model. Neither model's weights were released publicly.

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.

abab 6.5 is a mixture-of-experts language model family released by MiniMax in April 2024, reported to support a 200,000-token context and to answer all 891 queries in a long-context retrieval test.

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.

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.

Gemini 1.5 Flash is a lightweight, fast model in Google's Gemini 1.5 family, announced on 14 May 2024 and trained by distillation from 1.5 Pro, with a 1-million-token context window.

Baichuan 4 is a closed large language model released by the Chinese company Baichuan on 22 May 2024, the company's first multimodal model and the engine behind its first AI assistant, Baixiaoying.

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.

Codestral is Mistral AI's family of code models, first released in May 2024 as an open-weight 22B-parameter model with a 32K context window, followed by faster and longer-context versions aimed at IDE code completion.

ERNIE 4.0 Turbo is a large language model Baidu released in June 2024 as a faster, cheaper upgrade to ERNIE 4.0, sitting between ERNIE 4.0 and ERNIE 4.5 in the company's model line.

Apple Foundation Models (AFM, 2024) are the first generation of the models behind Apple Intelligence: a roughly 3-billion-parameter on-device model and a larger server model that runs in Private Cloud Compute.

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.

SenseTime's July 2024 model family, unveiled at WAIC, adding a real-time multimodal model, lightweight and edge versions, and migration incentives aimed at OpenAI customers.

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.

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.

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.

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.

Hunyuan Turbo is Tencent's large language model, released on Tencent Cloud in September 2024 and tuned for lower training and serving costs. It was succeeded in February 2025 by Hunyuan Turbo S, which cut API prices further.

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.

o1-mini is a smaller, faster and cheaper reasoning model that OpenAI released on 12 September 2024 alongside o1-preview, trained with reinforcement learning to reason step by step and rated particularly effective at coding.

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.

Ministral 3B and Ministral 8B are two small Mistral AI language models released on 16 October 2024 for on-device and edge use, offering long context, low API prices and, for the 3B, performance Mistral claimed beat its earlier 7B model.

Anthropic's small, fast language model announced in October 2024 as the successor to Claude 3 Haiku, claimed to reach the intelligence of the previous flagship at Haiku-like speed and to be especially strong at coding.

A large language model released by iFlytek in October 2024 and upgraded in January 2025, trained and served on the domestic Feixing No.1 computing platform; iFlytek reported it leading several Chinese and English benchmarks against GPT-4 Turbo and GPT-4o.

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 version of OpenAI's o1 that spends more compute before answering, launched on 5 December 2024 inside the $200-a-month ChatGPT Pro plan and added to the API on 19 March 2025.

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.

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.

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.

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.

An experimental Google model released in February 2025 as part of the Gemini 2.0 family, described by Google as its best yet for coding and complex prompts, with a 2-million-token context window and tool use.

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.

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.

Llama 4 Behemoth is a very large Meta model previewed on 5 April 2025 as the teacher for the Llama 4 family. It was never publicly released.

ERNIE X1 Turbo is a Baidu reasoning model released on 25 April 2025, positioned as a cheaper and more capable successor to ERNIE X1, with stronger chain-of-thought, multimodal and tool-use abilities.

ERNIE 4.5 Turbo is Baidu's multimodal large language model released on 25 April 2025, presented as a faster successor to ERNIE 4.5 with lower hallucination rates and sharply cut API prices.

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.

Amazon Nova Premier is the most capable model of the first Nova generation, available in Amazon Bedrock from 30 April 2025. It handles text, images and video with a 1-million-token context window, and also serves as a teacher model for smaller Nova models.

Mistral Medium 3 is a proprietary model released by Mistral AI on 7 May 2025, marketed as a mid-sized system that nears larger competitors at a much lower price and can be self-hosted on four GPUs.

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.

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.

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.

Apple Foundation Models (2025) are the second generation of Apple's models. They add image understanding and a mixture-of-experts server design, and they open an on-device model to developers through the Foundation Models framework.

OpenAI o3-pro is a version of the o3 model released on 10 June 2025, which OpenAI described as its most capable model at the time and recommended for hard questions where reliability matters more than 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 2.5 Flash-Lite is the lowest-cost model in Google's Gemini 2.5 family, built for high-throughput work such as classification and summarisation, with thinking off by default and a controllable thinking budget.

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.

Command A Vision is Cohere's first vision-language model in the Command family, released in July 2025. It pairs a 112-billion-parameter Command A language model with a SigLIP2 image encoder to read images, charts and documents and answer in text.

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.

Claude Opus 4.1, released on 5 August 2025, upgraded Claude Opus 4 for agentic tasks, real-world coding and reasoning, at the same price. Anthropic later succeeded it with Claude Opus 4.5.

Cohere's first reasoning model, announced in August 2025: a 111-billion-parameter hybrid model that can switch its thinking on or off, built for agentic tasks and tool use, with open non-commercial weights.

Microsoft AI's first foundation model trained entirely in-house, announced on 28 August 2025. A mixture-of-experts text model, it opened for public testing on LMArena and was presented as one of several specialised models Microsoft intends to coordinate.

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.

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.

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.

ERNIE X1.1 is Baidu's reasoning model unveiled in September 2025, an update to ERNIE X1 that the company reports as stronger in factuality, instruction following and agentic tasks, built on ERNIE 4.5 and released alongside PaddlePaddle v3.2.

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 OpenAI model released in September 2025 that adapted GPT-5 for agentic coding, served as the default model in Codex, and was shut down in July 2026.

xAI's low-cost reasoning model released on 19 September 2025, with a 2-million-token context window and far lower prices than Grok 4 at comparable benchmark scores.

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.

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.

Claude Haiku 4.5, released on 15 October 2025 and available to all users, offered coding performance close to Sonnet 4 at one-third of the cost and more than twice the speed.

iFlytek's Spark X1.5 is a deep reasoning model released in November 2025 that runs on a domestic computing platform built with Huawei, using a 293-billion-parameter mixture-of-experts design.

Grok 4.1 is xAI's November 2025 update to Grok 4, aimed at emotional intelligence, creative writing and fewer hallucinations. Grok 4.1 Fast, a 2-million-token tool-calling model, followed on 19 November 2025.

An agentic coding model in OpenAI's GPT-5.1 family, released in November 2025. It was the first OpenAI model trained to work across multiple context windows and in Windows environments, and served as the default model in Codex until its retirement in 2026.

Amazon Nova 2 is the second generation of Amazon's Nova models, released at AWS re:Invent in December 2025. Its first member, Nova 2 Lite, is a fast reasoning model available in Amazon Bedrock with a 1-million-token context.

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.

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.

Doubao Large Model 1.8 (Doubao-Seed-1.8) is ByteDance's Volcano Engine flagship released on 18 December 2025. It is built for multimodal agent tasks, with stronger tool calling and computer-operation abilities.

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.

Grok 4.20 is xAI's 2026 model family, released in reasoning, non-reasoning and multi-agent versions with a 1-million-token context window; Grok 4.3 followed with the same context and the same prices.

A large language model released by iFlytek on 11 February 2026, trained entirely on domestic computing power and aimed at practical use in education, healthcare, automotive and agents.

Gemini 3.1 Flash-Lite is a low-cost, low-latency multimodal model in Google's Gemini 3 family, released in preview in March 2026 and generally available from May 2026 for high-frequency, lightweight 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.

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.

ERNIE 5.1 is Baidu's large language model released on 9 May 2026, derived from ERNIE 5.0's pre-training at about 6% of the usual pre-training cost, and it placed at the top of Chinese models on LMArena text and search.[^1][^3]

Released on 28 May 2026 at the same price as Opus 4.7, Claude Opus 4.8 added a fast mode at 2.5 times the speed, with fewer unnoticed flaws in its own code. Anthropic called it a modest but tangible improvement.

Apple Foundation Models 3 (AFM 3), published on 8 June 2026, is a family of five models: two on-device models, including a sparse 20B multimodal model, and three cloud models, one of which is optimised for NVIDIA GPUs.

Grok 4.5 is an xAI model built for coding, agentic and knowledge work, announced on 16 July 2026. It was trained with Cursor on tens of thousands of NVIDIA GB300 GPUs and shipped as the default model in the Grok Build coding tool.

The fastest model in Google's Gemini 3.5 series, released in July 2026 for high-throughput agentic work, and slated to replace gemini-3.1-flash-lite and take over traffic from gemini-2.5-flash.

Gemini 3.6 Flash is the Gemini model Google released on 21 July 2026 and called its workhorse: better coding, knowledge work and multimodal results than 3.5 Flash, fewer output tokens, built-in computer use and tiered pricing.

Grok 4.6 is an xAI language model released on 12 August 2026, built on Grok 4.5 and aimed at long-running agents and interactive, visual work, with a 500,000-token context window and text and image input.

A Google model released on 13 August 2026 as its most intelligent workhorse for coding and agents, priced with a scheduled increase and superseded three weeks later by 3.8 Flash.

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.

iFlytek Spark X2.5 is a 293B-A30B mixture-of-experts language model released on 7 September 2026, trained and served entirely on domestic computing power, with a 256K context window and support for more than 200 languages.

Grok 4.7 is xAI's September 2026 flagship model for coding and knowledge work, built on a larger base model than Grok 4.6 with longer reinforcement learning and a new safeguard stack, at unchanged token prices.

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.

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.

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.