Models

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.

Large language modelsAgents & tool useSafety & governance

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.

Large language modelsAgents & tool useSafety & governance

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.

Large language modelsAgents & tool useSafety & governance

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

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

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.

Large language modelsReasoningScience

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.

Open sourceChinaReasoning

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

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

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.

Large language modelsReasoningScience

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

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.

Large language modelsReasoningScience

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

AlphaEvolve is a Google DeepMind coding agent announced on 14 May 2025 that pairs Gemini models with automated evaluators to evolve algorithms, yielding a Borg scheduling heuristic, faster kernels and new mathematical results.

Agents & tool useReasoningScience

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

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.

Open sourceChinaReasoning

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

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

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

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.

Large language modelsConsumer appsReasoning

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

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

AlphaProof is a Google DeepMind reinforcement-learning system that proves mathematical statements in the formal language Lean. At the 2024 International Mathematical Olympiad it solved three problems, and together with AlphaGeometry 2 reached silver-medal level.

ReasoningScienceSymbolic AI

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

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.

Open sourceReasoningScience

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.

Open sourceFoundation modelsGenerative 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.

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

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

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.

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

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.

Open sourceReasoningScience

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

FunSearch is a method that uses a pretrained large language model inside an evolutionary loop to search for programs that solve mathematical and computational problems, rather than for answers directly. It produced new results on the cap set problem and on online bin packing.

Deep learningReasoningScience

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.

Large language modelsOpen sourceReasoning

GNoME is a Google DeepMind deep-learning tool, announced on 29 November 2023, that predicts new inorganic crystals; it produced 2.2 million candidate structures, of which 380,000 were predicted to be stable.

Deep learningData & datasetsScience

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.

Open sourceDeep learningScience

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.

Large language modelsOpen sourceFoundation models

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.

Large language modelsOpen sourceReasoning