Project AURIONAI Use-Cases Research & Innovation
Google DeepMind

Google DeepMind

Frontier lab, UK / USA. 106 models in the directory.

frontier labUK / USAGoogle
0deployments

Identity

Type
frontier lab
Country label
UK / USA
HQ country
UK
Founding country
UK
Parent
GoogleGoogle
Parent country
USA
Country basis
the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.

Models by Class

Models

ModelClassOpennessParametersReleased
Google DeepMindNano Banana 2.1Google DeepMind, Googleimage generationproprietary–6 Oct 2026Google DeepMindGemini 4 ArgonLLMproprietary–30 Sep 2026Google DeepMindGemini 3.8 FlashLLMproprietary–2 Sep 2026Google DeepMindGemini 3.7 FlashLLMproprietary–Aug 2026Google DeepMindWeatherNext 3Google DeepMind, Googleweatherproprietary–Aug 2026Google DeepMindGemini Robotics 2robot policyunknown–30 Jul 2026Google DeepMindGemini Robotics 2 VLArobot policyproprietary–30 Jul 2026Google DeepMindGemini Robotics-ER 2multimodal LLMproprietary–30 Jul 2026Google DeepMindGemini Robotics On-Device 2robot policyproprietary–30 Jul 2026Google DeepMindGemini 3.6 FlashLLMproprietary–21 Jul 2026Google DeepMindMagenta RealTime 2music and audiounknown–Jun 2026Google DeepMindGemini Omni FlashGoogle DeepMind, Googlevideo generationproprietary–19 May 2026Google DeepMindGemini 3.5 Flashmultimodal LLMproprietary–May 2026Google DeepMindGemini Robotics-ER 1.6Google DeepMind, Boston Dynamicsmultimodal LLMproprietary–14 Apr 2026GoogleGemma 4Google, Google DeepMindLLMopen weights permissive–2 Apr 2026GoogleGemma 4 31BGoogle, Google DeepMindmultimodal LLMopen weights permissive30.7B2 Apr 2026GoogleGemma 4 E2BGoogle, Google DeepMindedge LLMopen weights permissive5.1B2 Apr 2026GoogleGemma 4 E4BGoogle, Google DeepMindedge LLMopen weights permissive8B2 Apr 2026Google DeepMindVeo 3.1 Litevideo generationproprietary–Mar 2026Google DeepMindGemini 3.1 Pro (preview)Google DeepMind, Googlemultimodal LLMproprietary–19 Feb 2026Google DeepMindProject GenieGoogle DeepMind, Googleworld modelproprietary–29 Jan 2026Google DeepMindVeo 3.1video generationproprietary–Jan 2026Google DeepMindGemini 3 Deep Thinkreasoningproprietary–18 Nov 2025Google DeepMindWeatherNext 2 (FGN)Google DeepMind, Googleweatherproprietary–17 Nov 2025Google DeepMindNatural Forests of the World 2020 model (MTSViT)Google DeepMind, Google, World Resources Institute (WRI), IIASAgeospatialunknown–13 Nov 2025Yale UniversityC2S-Scale-Gemma-2-2BYale University, Google, Google DeepMindscientificopen weights permissive–6 Oct 2025Yale UniversityC2S-Scale-Gemma-2-27BYale University, Google, Google DeepMindscientificopen weights permissive–6 Oct 2025Google DeepMindGemini Robotics 1.5robot policyproprietary–25 Sep 2025Google DeepMindGemini Robotics-ER 1.5multimodal LLMproprietary–25 Sep 2025Google DeepMindDreamer 4world modelunknown–Sep 2025Google DeepMindGenie 3world modelproprietary–5 Aug 2025Google DeepMindAlphaEarth Foundations (Satellite Embedding v1 Annual)geospatialproprietary–Jul 2025Google DeepMindGemini Robotics On-Devicerobot policyproprietary–24 Jun 2025Google DeepMindGemma 3n E2Bedge LLMopen weights restricted–12 Jun 2025Google DeepMindGemma 3n E4Bedge LLMopen weights restricted–3 Jun 2025Google DeepMindDreamerV3world modelunknown–2 Apr 2025Google DeepMindGemini Roboticsrobot policyproprietary–12 Mar 2025Google DeepMindGemini Robotics-ERmultimodal LLMproprietary–12 Mar 2025Google DeepMindGemini 3 ProGoogle DeepMind, Googlemultimodal LLMproprietary–2025Google DeepMindVeo 2video generationproprietary–16 Dec 2024Google DeepMindGenie 2world modelproprietary–Dec 2024Google DeepMindWeatherNext 1 Gen (GenCast)Google DeepMind, Googleweatherunknown–Dec 2024Google DeepMindImagen 3image generationproprietary–14 May 2024Google DeepMindAlphaFold 3Google DeepMind, Isomorphic Labsscientificopen weights restricted–8 May 2024Google DeepMindGenieworld modelunknown–Mar 2024Google DeepMindGenCast (WeatherNext 1 Gen)weatheropen weights restricted–2024Google DeepMindWeatherNext 1 Graph (GraphCast)Google DeepMind, Googleweatherunknown–Nov 2023Google DeepMindNaViT and FlexiViT (NaFlexViT)visionunknown–12 Jul 2023Google DeepMindAlphaDevreinforcement learningunknown–7 Jun 2023Google DeepMindGraphCast (WeatherNext 1 Graph)weatheropen weights restricted–2023Google DeepMindRT-2-Xrobot policyproprietary55B2023Google DeepMindAlphaTensorreinforcement learningopen source–5 Oct 2022Google DeepMindPerceiver (vision)visionopen weights permissive–30 Jul 2021Google DeepMindNFNetvisionunknown–11 Feb 2021Google DeepMindAlphaFold 2scientificunknown–Nov 2020Google DeepMindBYOLvisionunknown–13 Jun 2020Google DeepMindAgent57reinforcement learningunknown–30 Mar 2020Google DeepMindMuZeroreinforcement learningunknown–19 Nov 2019Google DeepMindBigBiGANimage generationunknown–4 Jul 2019Google DeepMindAlphaStarreinforcement learningunknown–24 Jan 2019Google DeepMindBigGAN (incl. BigGAN-Deep)image generationunknown–28 Sep 2018Google DeepMindSPIRALimage generationopen weights permissive–3 Apr 2018Google DeepMindWaveRNNspeech synthesisunknown–23 Feb 2018Google DeepMindIMPALAreinforcement learningunknown–5 Feb 2018Google DeepMindAlphaZeroreinforcement learningunknown–5 Dec 2017Google DeepMindVQ-VAEimage generationunknown–2 Nov 2017Google DeepMindI3D (Inflated 3D ConvNet)visionunknown–22 May 2017Google DeepMindWaveNetspeech synthesisunknown–12 Sep 2016Google DeepMindAlphaGoreinforcement learningunknown–Oct 2015Google DeepMindDQN (Deep Q-Network)reinforcement learningopen source–19 Dec 2013GoogleAMIEGoogle, Google DeepMindmultimodal LLMproprietary––Google DeepMindAlphaGenomescientificunknown––Google DeepMindantigravity-preview-09-2026LLMproprietary––Google DeepMinddeep-research-max-preview-04-2026LLMproprietary––Google DeepMinddeep-research-preview-04-2026LLMproprietary––Google DeepMindDreamerworld modelunknown––Google DeepMindGeminiGoogle DeepMind, Googlemultimodal LLMproprietary––Google DeepMindGemini 2.0multimodal LLMunknown––Google DeepMindgemini-2.5-computer-use-preview-10-2025LLMproprietary––Google DeepMindGemini 2.5 FlashGoogle DeepMind, Googlemultimodal LLMproprietary––Google DeepMindGemini 2.5 Flash-LiteLLMproprietary––Google DeepMindGemini 2.5 ProLLMproprietary––Google DeepMindGemini 3.1 Flash-LiteLLMproprietary––Google DeepMindGemini 3.5 ProLLMproprietary––Google DeepMindgemini-3.8-livespeech synthesisproprietary––Google DeepMindgemini-3.8-live-extended-thinkingspeech synthesisproprietary––Google DeepMindgemini-robotics-er-2-previewmultimodal LLMproprietary––Google DeepMindGemini Roboticsrobot policyunknown––Google DeepMindGenieworld modelunknown––Google DeepMindImagenimage generationunknown––Google DeepMindImagen 4image generationproprietary––Google DeepMindLyriamusic and audioproprietary––Google DeepMindLyria 2music and audioproprietary––Google DeepMindLyria 3music and audioproprietary––Google DeepMindLyria 3.5music and audioproprietary––Google DeepMindLyria 3 Promusic and audioproprietary––Google DeepMindLyriamusic and audiounknown––Google DeepMindLyria RealTimemusic and audioproprietary––Google DeepMindRT-2robot policyunknown––Google DeepMindVeovideo generationunknown––Google DeepMindVeo 3video generationproprietary––Google DeepMindVeo 3.1 Fastvideo generationproprietary––Google DeepMindGemma 3nedge LLMopen weights restricted––Google DeepMindGemini 3.5 Flash-Litemultimodal LLMproprietary––Google DeepMindGemini 3.8 Flash CyberLLMproprietary––Yale UniversityC2S-Scale (Cell2Sentence)Yale University, Google, Google DeepMindscientificopen weights permissive––

Scores

BenchmarkModelScoreWho ran itSetting
ARC-AGI-2Gemini 3 Deep Think45.1 %vendor-reportedWith code execution; ARC Prize Verified per vendor
ARC-AGI-2Gemini 3 Deep Think84.6 %vendor-reportedUpdated Deep Think; verified by the ARC Prize Foundation per vendor
ARC-cGemma 3n E2B51.7 %vendor-reportedPT (pretrained checkpoint)
ARC-cGemma 3n E4B61.6 %vendor-reportedPT (pretrained checkpoint)
Arena Text leaderboardGemini 3.1 Pro (preview)1,487 Eloindependentpreview
Arena Text leaderboardGemini 3.8 Flash1,497 Eloindependenthigh
Arena Text leaderboardGemini 4 Argon1,525 Eloindependenthigh
Arena Vision leaderboardGemini 3.7 Flash1,297 Eloindependenthigh; preliminary
Arena Vision leaderboardGemini 3.8 Flash1,289 Eloindependenthigh; preliminary
Artificial Analysis Intelligence IndexGemini 3.1 Pro (preview)57 indexindependentv4.0, stale; superseded by AA v4.3.2
Artificial Analysis Intelligence IndexGemini 3.8 Flash41 indexindependenthigh; 40.93
Artificial Analysis Intelligence IndexGemini 4 Argon53 indexindependenthigh; 52.56 per secondary
Artificial Analysis Music ArenaLyria 2932 Eloindependentsecondary capture of AA post
Artificial Analysis Music ArenaLyria 3 Pro1,078 Eloindependentsecondary capture of AA post; tied 3-6
Artificial Analysis Music ArenaLyria 3.51,076 Eloindependentsecondary capture of AA post; tied 3-6
Artificial Analysis Text-to-Image ArenaNano Banana 2.11,160 Eloindependentrank shown as 4-6
Artificial Analysis Text-to-Video leaderboardVeo 3.1962 Eloindependent
AutomationBenchGemini 4 Argon51.3 %vendor-reportedGoogle self-reported
benchlm.ai frontier compositeGemini 4 Argon81.8 indexvendor-reportedestimated
Codeforces ratingGemini 3 Deep Think3,455 Elovendor-reportedUpdated Deep Think
DeepSWEGemini 3.8 Flash70 %vendor-reportedabove 70% (chart only)
DeepSWEGemini 4 Argon77.9 %vendor-reportedGoogle self-reported
DeepSWE (version not stated)Gemini 3.5 Flash37 %vendor-reported
DeepSWE (version not stated)Gemini 3.6 Flash49 %vendor-reported
Gemini Robotics 2 vendor task evaluationsGemini Robotics 2 VLA45.7 %vendor-reportedApollo 2 whole-body pick, floor
Gemini Robotics 2 vendor task evaluationsGemini Robotics 2 VLA68.4 %vendor-reportedApollo 2 whole-body pick, table
Gemini Robotics 2 vendor task evaluationsGemini Robotics 2 VLA74.2 %vendor-reportedFranka Duo pick-and-place
Gemini Robotics 2 vendor task evaluationsGemini Robotics 2 VLA76.3 %vendor-reportedApollo 2 whole-body pick, shelf
Gemini Robotics 2 vendor task evaluationsGemini Robotics 2 VLA89.6 %vendor-reportedFranka Duo precise insertion
Gemini Robotics 2 vendor task evaluationsGemini Robotics-ER 291.3 %vendor-reportedMoment finding
Global MMLUGemma 3n E2B55.1 %vendor-reportedIT
Global MMLUGemma 3n E4B60.3 %vendor-reportedIT
GPQAGemma 4 31B84.3 %vendor-reportedReported as 'GPQA' by secondary source; subset not stated
GPQA DiamondGemini 3 Deep Think93.8 %vendor-reported
GPQA DiamondGemma 3n E2B24.8 %vendor-reportedIT
GPQA DiamondGemma 3n E4B23.7 %vendor-reportedIT
GPQA DiamondGemma 4 31B84.3 %vendor-reported
Harvey Legal Agent BenchmarkGemini 4 Argon19.6vendor-reportedGoogle self-reported
HellaSwagGemma 3n E2B72.2 %vendor-reportedPT (pretrained checkpoint)
HellaSwagGemma 3n E4B78.6 %vendor-reportedPT (pretrained checkpoint)
Humanity's Last Exam (HLE)Gemini 3 Deep Think41 %vendor-reportedWithout tools
Humanity's Last Exam (HLE)Gemini 3 Deep Think48.4 %vendor-reportedWithout tools; updated Deep Think
LABBench 2Gemini 4 Argon88.8vendor-reportedGoogle self-reported
LiveCodeBench v5Gemma 3n E2B18.6 %vendor-reportedIT
LiveCodeBench v5Gemma 3n E4B25.7 %vendor-reportedIT
LMArena Text-to-Image ArenaNano Banana 2.11,328 Eloindependentpreliminary
LMArena Text-to-Video ArenaGemini Omni Flash1,513 Eloindependent
LMArena Text-to-Video ArenaVeo 3.11,364 Eloindependentveo-3.1-audio
MGSMGemma 3n E2B53.1 %vendor-reportedIT
MGSMGemma 3n E4B60.7 %vendor-reportedIT
MMLU-ProGemma 4 31B85.2 %vendor-reported
MMMUGemini 3 Pro87.2 %vendor-reported
OmniDocBenchGemini 3 Pro92.91 scorevendor-reportedoverall
PoseBustersAlphaFold 3rank onlyvendor-reportedBeats Vina docking (P = 2.27e-13); success rate shown only in a figure
Real5-OmniDocBenchGemini 3 Pro89.24 scorevendor-reportedoverall
SEA-HELMGemma 4 31B76.17 scoremaintainer-run
SEA-HELMGemma 4 31B79.75 indexmaintainer-runIndonesian
SEA-HELMGemma 4 31B79.75 scoremaintainer-run
SEA-HELMGemma 4 E2B58.82 scoremaintainer-run
SEA-HELMGemma 4 E2B64.13 scoremaintainer-run
SEA-HELMGemma 4 E4B66.3 scoremaintainer-runCheckpoint gemma-4-E4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps
SEA-HELMGemma 4 E4B69.65 scoremaintainer-runCheckpoint gemma-4-E4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstraps
SWE-bench ProGemini 3.1 Pro (preview)46.1 %maintainer-runScale SEAL public, mini-swe-agent
SWE-bench VerifiedGemini 3.1 Pro (preview)80.6 %vendor-reported
Vals IndexGemini 4 Argon68.9vendor-reportedGoogle self-reported
VBenchVeo 385.06 %maintainer-runTotal score; submission-based board
VBenchVeo 385.7 %maintainer-runQuality score; submission-based board
VBench-2.0Veo 360.85 %maintainer-runCreativity score
VBench-2.0Veo 366.72 %maintainer-runTotal score
WeatherBench 2GenCast (WeatherNext 1 Gen)1.477 RMSE Kmaintainer-runT850 day 5, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GenCast (WeatherNext 1 Gen)123.5 RMSE m2/s2maintainer-runZ500 day 3, deterministic, GenCast (mean) vs ERA5
WeatherBench 2GenCast (WeatherNext 1 Gen)124.3 RMSE m2/s2maintainer-runZ500 day 3, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GenCast (WeatherNext 1 Gen)2.693 RMSE Kmaintainer-runT850 day 10, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GenCast (WeatherNext 1 Gen)262.4 RMSE m2/s2maintainer-runZ500 day 5, deterministic, GenCast (mean) vs ERA5
WeatherBench 2GenCast (WeatherNext 1 Gen)264.7 RMSE m2/s2maintainer-runZ500 day 5, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GenCast (WeatherNext 1 Gen)39.2 RMSE m2/s2maintainer-runZ500 day 1, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GenCast (WeatherNext 1 Gen)39.3 RMSE m2/s2maintainer-runZ500 day 1, deterministic, GenCast (mean) vs ERA5
WeatherBench 2GenCast (WeatherNext 1 Gen)606.5 RMSE m2/s2maintainer-runZ500 day 10, deterministic, GenCast (mean) vs ERA5
WeatherBench 2GenCast (WeatherNext 1 Gen)607.5 RMSE m2/s2maintainer-runZ500 day 10, deterministic, GenCast (oper.) (mean) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)1.555 RMSE Kmaintainer-runT850 day 5, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)120.6 RMSE m2/s2maintainer-runZ500 day 3, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)124.2 RMSE m2/s2maintainer-runZ500 day 3, deterministic, GraphCast vs ERA5
WeatherBench 2GraphCast (WeatherNext 1 Graph)270.2 RMSE m2/s2maintainer-runZ500 day 5, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)274.3 RMSE m2/s2maintainer-runZ500 day 5, deterministic, GraphCast vs ERA5
WeatherBench 2GraphCast (WeatherNext 1 Graph)3.364 RMSE Kmaintainer-runT850 day 10, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)38.3 RMSE m2/s2maintainer-runZ500 day 1, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2GraphCast (WeatherNext 1 Graph)39.8 RMSE m2/s2maintainer-runZ500 day 1, deterministic, GraphCast vs ERA5
WeatherBench 2GraphCast (WeatherNext 1 Graph)731.9 RMSE m2/s2maintainer-runZ500 day 10, deterministic, GraphCast vs ERA5
WeatherBench 2GraphCast (WeatherNext 1 Graph)747.6 RMSE m2/s2maintainer-runZ500 day 10, deterministic, GraphCast (oper.) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)1.348 RMSE Kmaintainer-runT850 day 5, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)1.81 RMSE Kmaintainer-runT850 day 5, deterministic, FGN (oper.) (1st member) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)104.5 RMSE m2/s2maintainer-runZ500 day 3, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)139.4 RMSE m2/s2maintainer-runZ500 day 3, deterministic, FGN (oper.) (1st member) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)2.595 RMSE Kmaintainer-runT850 day 10, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)233.1 RMSE m2/s2maintainer-runZ500 day 5, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)3.632 RMSE Kmaintainer-runT850 day 10, deterministic, FGN (oper.) (1st member) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)313.7 RMSE m2/s2maintainer-runZ500 day 5, deterministic, FGN (oper.) (1st member) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)32.3 RMSE m2/s2maintainer-runZ500 day 1, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)43.7 RMSE m2/s2maintainer-runZ500 day 1, deterministic, FGN (oper.) (1st member) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)583.1 RMSE m2/s2maintainer-runZ500 day 10, deterministic, FGN (oper.) (mean) vs Analysis
WeatherBench 2WeatherNext 2 (FGN)811.7 RMSE m2/s2maintainer-runZ500 day 10, deterministic, FGN (oper.) (1st member) vs Analysis
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.

Sources

  1. Models  |  Gemini API  |  Google AI for Developers ai.google.dev https://ai.google.dev/gemini-api/docs/models
  2. LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/leaderboards/models
  3. WeatherNext 2: Our most advanced weather forecasting model blog.google https://blog.google/technology/google-deepmind/weathernext-2/
  4. GitHub - google-deepmind/alphafold3: AlphaFold 3 inference pipeline. github.com https://github.com/google-deepmind/alphafold3
  5. Google DeepMind - Wikipedia en.wikipedia.org https://en.wikipedia.org/wiki/Google_DeepMind
  6. Google Releases Gemma 4: Open Models Under Apache 2.0 datanorth.ai https://datanorth.ai/news/google-releases-gemma-4-open-models
  7. Gemma 3n , Google DeepMind deepmind.google https://deepmind.google/models/gemma/gemma-3n/
  8. Accurate structure prediction of biomolecular interactions with AlphaFold 3 - Nature nature.com https://www.nature.com/articles/s41586-024-07487-w
  9. WeatherNext 3  |  Google for Developers developers.google.com https://developers.google.com/weathernext/guides/models
  10. Training compute of frontier AI models grows by 4-5x per year epoch.ai https://epoch.ai/blog/training-compute-of-frontier-ai-models-grows-by-4-5x-per-year
  11. Over 30 AI models have been trained at the scale of GPT-4 epoch.ai https://epoch.ai/data-insights/models-over-1e25-flop
  12. Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 arxiv.org https://arxiv.org/abs/2408.05147
  13. DeepMind thinks its new Genie 3 world model presents a stepping stone toward AGI | TechCrunch techcrunch.com https://techcrunch.com/2025/08/05/deepmind-reveals-genie-3-a-world-model-that-could-be-the-key-to-reaching-agi
  14. deepmindsafetyresearch.medium.com/negative-results-for-sparse-autoencoders-on-d... https://deepmindsafetyresearch.medium.com/negative-results-for-sparse-autoencoders-on-downstream-tasks-and-deprioritising-sae-research-6cadcfc125b9

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Google DeepMind", https://aurion.semai.id/organisations/google-deepmind/, records of October 2026.