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Foundation, generative, multimodal and specialised models.

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2024

  • Sep 19, 2024 Qwen2.5

    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.

    Large language modelsOpen sourceChina

  • Sep 12, 2024 OpenAI o1-mini

    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.

    Large language modelsReasoningCode

  • Sep 12, 2024 OpenAI o1

    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.

    Large language modelsReasoningSafety & governance

  • Sep 5, 2024 DeepSeek-V2.5

    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.

    Large language modelsOpen sourceChina

  • Sep 5, 2024 Yi-Coder

    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

  • Jul 25, 2024 AlphaProof

    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

  • Jul 24, 2024 Mistral Large 2

    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.

    Large language modelsEnterpriseCode

  • Jul 16, 2024 Mathstral

    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

  • Jul 16, 2024 Codestral Mamba

    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

  • Jun 20, 2024 Claude 3.5 Sonnet

    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.

    Large language modelsEnterpriseConsumer apps

  • Jun 17, 2024 DeepSeek-Coder-V2

    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.

    Large language modelsOpen sourceChina

  • Jun 13, 2024 OpenVLA

    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

  • May 29, 2024 Codestral

    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

  • May 2024 Octo

    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

  • Apr 24, 2024 Snowflake Arctic

    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.

    Large language modelsOpen sourceEnterprise

  • Mar 28, 2024 Grok-1.5 and Grok-1.5V

    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.

    Large language modelsMultimodalReasoning

  • Mar 27, 2024 DBRX

    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.

    Large language modelsOpen sourceEnterprise

  • Mar 18, 2024 Project GR00T

    NVIDIA's project for a general-purpose foundation model for humanoid robots, announced in March 2024 and followed in March 2025 by Isaac GR00T N1, an open, customizable model released with training data and evaluation scenarios.

    Foundation modelsRoboticsHumanoid robots

  • Mar 4, 2024 Claude 3 Opus

    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%.

    Large language modelsEnterpriseMultimodal

  • Feb 28, 2024 StarCoder2

    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

  • Feb 23, 2024 Genie

    A Google DeepMind generative world model with 11 billion parameters that turns text, images or sketches into controllable virtual worlds, described as the first generative interactive environment trained on unlabelled internet videos without action labels.

    Research historyGenerative modelsSimulation

  • Feb 5, 2024 DeepSeekMath

    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

  • Jan 17, 2024 AlphaGeometry

    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

2023

  • Dec 14, 2023 FunSearch

    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

  • Dec 12, 2023 Phi-2

    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

  • Nov 14, 2023 GraphCast

    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

  • Nov 2, 2023 DeepSeek Coder

    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.

    Large language modelsOpen sourceChina

  • Sep 11, 2023 Phi-1.5

    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

  • Aug 24, 2023 Code Llama

    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.

    Large language modelsOpen sourceDeveloper tools

  • Aug 15, 2023 iFlytek Spark V2.0

    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.

    Large language modelsChinaFoundation models

  • Jul 28, 2023 RT-2 (Robotic Transformer 2)

    RT-2 is a vision-language-action model from Google DeepMind, announced on 28 July 2023, that turns images and text instructions into robot actions written as text tokens. In over 6,000 trials it reached 62% on unseen scenarios, up from 32% for RT-1.

    MultimodalRoboticsComputer vision

  • Jul 5, 2023 Pangu-Weather

    Pangu-Weather is a three-dimensional deep-learning model for medium-range global weather forecasting, published in Nature in 2023; on reanalysis data it produced stronger forecasts than ECMWF's operational system across all tested variables.

    ChinaDeep learningScience

  • Jun 20, 2023 Phi-1

    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.

    Large language modelsOpen sourceData & datasets

  • May 4, 2023 StarCoder

    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.

    Large language modelsOpen sourceData & datasets

2022

2021

2019

  • Nov 19, 2019 MuZero

    MuZero is a DeepMind reinforcement-learning algorithm that pairs tree-based search with a learned model. It reached superhuman play in Atari, Go, chess and shogi without being given the environment's rules.

    Research historyDeep learningReasoning

  • Jan 2019 AlphaStar

    AlphaStar is a DeepMind system that plays StarCraft II. In 2019 it reached Grandmaster level with all three races, ranking above 99.8% of active players on Battle.net.

    Research historyDeep learningReasoning

2018

2017

  • Dec 5, 2017 AlphaZero

    AlphaZero is a general game-playing system from DeepMind, described in a preprint in December 2017, that reached a superhuman level in chess, shogi and Go within 24 hours starting from random play, using only the rules of each game.

    Research historyDeep learningReasoning

  • Oct 18, 2017 AlphaGo Zero

    A DeepMind Go program that learned the game from scratch by playing against itself, using no human game records, and beat earlier versions of AlphaGo within days.

    Research historyDeep learningReasoning

2016

  • Jan 27, 2016 AlphaGo

    AlphaGo is a Go-playing program from DeepMind that combined deep neural networks with Monte Carlo tree search. In 2016 it beat top professional Lee Sedol in a widely watched match, a landmark for learned systems.

    Research historyDeep learningReasoning

2013

  • Dec 19, 2013 Deep Q-Network (DQN)

    A DeepMind reinforcement-learning agent that combined Q-learning with a convolutional neural network to play Atari 2600 games straight from raw pixels, reaching human-level performance on many titles without being told the rules.

    Research historyDeep learningEurope

2011

  • Feb 2011 IBM Watson

    IBM Watson is a question-answering computer system built by an IBM research team led by David Ferrucci; in February 2011 it defeated the two foremost all-time champions of the televised quiz show Jeopardy!

    Research historyEnterpriseReasoning