Models

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.

Open sourceMultimodalHardware & compute

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.

Large language modelsAgents & tool useSafety & governance

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.

Large language modelsEnterpriseDeveloper tools

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.

Large language modelsAgents & tool useDeveloper tools

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.

Large language modelsOpen sourceMultimodal

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.

Large language modelsOpen sourceDeep learning

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.

Large language modelsEnterpriseDeveloper tools

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.

Large language modelsOpen sourceAgents & tool use

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.

Open sourceAgents & tool useDeveloper tools

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.

Large language modelsOpen sourceReasoning

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.

Open sourceFoundation modelsData & datasets

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.

Open sourceChinaMultimodal

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.

Large language modelsOpen sourceChina

A fast reasoning model from xAI for agentic coding, released in August 2025 with low per-token pricing, a 70.8% score on SWE-bench Verified, and integrations with GitHub Copilot, Cursor, Cline and other coding tools.

Agents & tool useReasoningDeveloper tools

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.

Large language modelsOpen sourceReasoning

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.

Open sourceChinaAgents & tool use

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.

Large language modelsOpen sourceReasoning

Skild Brain is Skild AI's general-purpose foundation model for robots, trained in a universe of 100,000 different machines and meant to be fitted to existing hardware rather than built for one task.

EnterpriseDeep learningFoundation models

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.

Large language modelsEnterpriseDeveloper tools

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.

Large language modelsFoundation modelsMultimodal

Aurora is a foundation model for the Earth system, trained on more than a million hours of geophysical data. It outperforms operational forecasts for weather, air quality, ocean waves and tropical cyclone tracks at far lower computational cost.

Deep learningFoundation modelsScience

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.

Open sourceAgents & tool useDeveloper tools

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.

Large language modelsOpen sourceFoundation models

π0.5 is a vision-language-action model from Physical Intelligence, released in April 2025, built to generalize to unfamiliar homes and trained by co-training on many kinds of robot and web data.

Deep learningFoundation modelsMultimodal

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.

Large language modelsConsumer appsReasoning

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.

Large language modelsEnterpriseDeveloper tools

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.

Large language modelsOpen sourceData & datasets

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.

Large language modelsOpen sourceMultimodal

Mistral OCR is a document-understanding API released by Mistral AI on 6 March 2025 that reads text, tables, equations and embedded media across thousands of scripts and languages, and was later superseded by newer OCR versions.

EnterpriseData & datasetsComputer vision

Helix is Figure's vision-language-action model for humanoid control, pairing a 7-billion-parameter vision-language model with a fast 80-million-parameter action policy, trained on about 500 hours of teleoperated data and run entirely on onboard GPUs.

Deep learningFoundation modelsMultimodal

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.

Large language modelsOpen sourceReasoning

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.

Large language modelsAgents & tool useMultimodal

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.

Large language modelsOpen sourceData & datasets

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.

Large language modelsOpen sourceConsumer apps

π0 is a generalist robot policy from Physical Intelligence, built by adapting a 3-billion-parameter vision-language model with flow matching so one model can output fast, continuous motor commands for dexterous manipulation.

Deep learningFoundation modelsMultimodal

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.

Open sourceGenerative modelsCreative tools

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.

Open sourceMultimodalData & datasets

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.

Large language modelsOpen sourceChina

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.

Open sourceFoundation modelsData & datasets

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.

Large language modelsConsumer appsMultimodal

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.

Large language modelsOpen sourceConsumer apps

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.

Open sourceDeveloper toolsCode

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.

Large language modelsOpen sourceDeveloper tools

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.

Large language modelsOpen sourceEnterprise

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.

Open sourceFoundation modelsMultimodal

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.

Large language modelsDeveloper toolsCode

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.

Large language modelsMultimodalDeveloper tools

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.

Open sourceDeep learningFoundation models

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.

Large language modelsResearch historyOpen source

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.

Large language modelsOpen sourceData & datasets

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.

Open sourceGenerative modelsCreative tools

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.

Large language modelsOpen sourceChina

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.

Large language modelsOpen sourceFoundation models

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.

Large language modelsOpen sourceChina