General-purpose AI models
3 labs · 75 models and products Theme: Companies · Generated from this page's data. Click a name to open its panel on the Labs page. Records resting on one source are tagged "one source".General-purpose AI models, also called foundation models, are large systems trained on very large amounts of text, images, sound and code, which can then be adapted to many tasks, from chat to coding. On this tile Google DeepMind builds the Gemini family, the open Gemma models and the Genie "world models", which generate playable environments; the tile lists 63 models and products from DeepMind, Locai, Recursive and Stability AI (per the site). The UK's competition regulator, the CMA, has reviewed how these models affect competition and consumers since 2023.
Context
- The Competition and Markets Authority published its first report on foundation models and proposed principles for competitive AI markets. 18 September 2023 gov.uk/government/news/proposed-principles-to-gu
FMs are artificial intelligence (AI) systems with broad capabilities that can be adapted to a range of different
- The CMA followed with an update report on foundation models. 11 April 2024 gov.uk/cma-cases/ai-foundation-models-initial-re
Update report published
- Google DeepMind's Gemini family was launched in three sizes. 19 December 2023 arxiv.org/abs/2312.11805
The Gemini family consists of Ultra, Pro, and Nano sizes
- Gemma, Google DeepMind's open-weight models, beat open models of similar size on 11 of 18 text tasks, its makers report. 13 March 2024 arxiv.org/abs/2403.08295
Gemma outperforms similarly sized open models on 11 out of 18 text-based tasks
- DSIT's AI sector study found the highest UK AI investment values in 2025 went to companies developing and training AI. 29 October 2026 gov.uk/government/publications/artificial-intell
However, the largest investment values in 2025 were directed towards AI development and training…
- The government's AI Opportunities Action Plan described Britain as third in the world as an AI market. 13 January 2025 gov.uk/government/publications/ai-opportunities-
Today, Britain is the third largest AI market in the world.
Key papers
- Gemini: A Family of Highly Capable Multimodal Models arXiv preprint · 19 December 2023
- Gemma: Open Models Based on Gemini Research and Technology arXiv preprint · 13 March 2024
- Genie: Generative Interactive Environments arXiv preprint · 23 February 2024
Labs Round 8 (31 Oct 2026): introduction and facts as the researchers wrote them; "(per the site)" marks a sentence resting on this site's own description of that lab.
| Record | What it is | Place | Links | Confidence |
|---|---|---|---|---|
| AeneasChips, models and products | An AI model that helps historians date, place and restore ancient Latin inscriptions. released (free tool; open code and data)Key facts Nature paper 23 Jul 2025; free interactive version at predictingthepast.com; code and dataset on GitHub. Figures (23 Jul 2025): 73% top-20 restoration accuracy for gaps up to ten characters; 72% province attribution across 62 provinces; dataset of over 176,000 Latin inscriptions. Predecessor: Ithaca (ancient Greek, March 2022).Made by Google DeepMind · 2025-07-23 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/aeneas-transforms-how-histo · deepmind.google/blog/page/12 | one source |
| AlphaCodeChips, models and products | A system that writes computer programs for programming contests by generating many candidates and filtering them. released (paper and dataset)Key facts First blog 2 Feb 2022; Science cover paper 8 Dec 2022. Access: paper; problems-and-solutions dataset on GitHub; solutions viewable at alphacode.deepmind.com. Figures (8 Dec 2022): estimated rank within top 54% of contest participants; "about the level of the median competitor".Made by Google DeepMind · 2022-02-02Versions AlphaCode → AlphaCode 2Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/competitive-programming-wit · deepmind.google/blog/page/10/ | one source |
| AlphaEarth FoundationsChips, models and products | An AI model that combines satellite and other Earth data into one map-like representation for tracking land and environment. released (Satellite Embedding dataset in Google Earth Engine)Key facts Announced 30 Jul 2025. Figures (30 Jul 2025): 10x10 metre squares; 24% lower error rate than other approaches tested; over 1.4 trillion embedding footprints per year; used by more than 50 organisations. Access: annual embeddings in Earth Engine.Made by Google DeepMind · 2025-07-30 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/alphaearth-foundations-help · deepmind.google/models/ | lab's own pages |
| AlphaFold (first version, CASP13)Chips, models and products | The first AlphaFold, which predicts a protein's 3D shape from its sequence; it ranked first at the CASP13 benchmark in 2018. released (paper)Key facts Lab timeline: placed first at CASP13 (2 Dec 2018); methods later published in Nature. Succeeded by AlphaFold2 (Nov 2020) and AlphaFold 3 (May 2024).Made by Google DeepMind · 2018-12-02 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/science/alphafold/ | one source |
| AlphaFold 3 and AlphaFold ServerChips, models and products | The third AlphaFold, which predicts the structures and interactions of proteins and other molecules, offered through a free web server. released (free server; code and weights for academic use)Key facts Launched 8 May 2024 (lab timeline). Access: AlphaFold Server free for non-commercial research; model code and weights for academic use. Usage (lab AlphaFold page, figure undated, read 30 Oct 2026): "over 3 million researchers from over 190 countries" use AlphaFold. Nobel Prize in Chemistry shared for AlphaFold, 9 Oct 2024.Made by Google DeepMind · 2024-05-08Read the paperKey facts and news (1)
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/science/alphafold/ · deepmind.google/blog/page/8/ | lab's own pages |
| AlphaFold2Chips, models and products | The second AlphaFold, which predicts protein shapes close to lab-measured accuracy; organisers called it a solution to protein folding. released (open code)Key facts Announced 30 Nov 2020 after CASP14. Figures (30 Nov 2020): median 92.4 GDT across all targets; average error about 1.6 Angstroms. Methods published in Nature with open-source code 15 Jul 2021 (lab timeline).Made by Google DeepMind · 2020-11-30Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/alphafold-a-solution-to-a-5 · deepmind.google/science/alphafold/ | lab's own pages |
| AlphaGo ZeroChips, models and products | A Go-playing system that taught itself the game from random moves by playing against itself, with no human game records. released (paper)Key facts Published 18 Oct 2017 in Nature. Access: paper only; game records downloadable. Figures (18 Oct 2017): beat the champion-defeating AlphaGo 100 games to 0; overtook AlphaGo Master after 40 days of self-training; Elo chart puts it over 5,000. Version history (as published): AlphaGo Fan → AlphaGo Lee → AlphaGo Master → AlphaGo Zero.Made by Google DeepMind · 2017-10-18Versions AlphaGo Fan → AlphaGo Lee → AlphaGo Master → AlphaGo ZeroRead the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/alphago-zero-starting-from- · deepmind.google/blog/page/17/ | one source |
| AlphaQubitChips, models and products | An AI system aimed at quantum error correction (per its post address). research releaseKey facts November 2024 (index; post on blog.google not opened).Made by Google DeepMind · 2024-11 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/8/ | one source |
| AlphaStarChips, models and products | An AI program that plays the full real-time strategy game StarCraft II and beat top professional players. released (research result)Key facts Announced 24 Jan 2019. Access: no product; replays downloadable; journal write-up in preparation at announcement. Figures (24 Jan 2019): beat professional players TLO and MaNa 5–0 each; trained for 14 days using 16 TPUs per agent; average around 280 actions per minute.Made by Google DeepMind · 2019-01-24Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/alphastar-mastering-the-rea · deepmind.google/blog/page/15/ | one source |
| AlphaZeroChips, models and products | One learning system that teaches itself chess, shogi and Go from the rules alone, by playing against itself. released (paper)Key facts Full evaluation published 6 Dec 2018 in Science (open-access preprint). Access: paper only; game files downloadable. Figures (6 Dec 2018): chess v Stockfish won 155 and lost 6 of 1,000 games; shogi v Elmo won 91.2% of games; Go v AlphaGo Zero won 61% of games. Predecessor named: AlphaGo Zero.Made by Google DeepMind · 2018-12-06Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/alphazero-shedding-new-ligh · deepmind.google/blog/page/16 | one source |
| ChinchillaChips, models and products | A 70-billion-parameter language model that showed training on more data can beat simply adding parameters. released (paper)Key facts Blog 12 Apr 2022; arXiv 2203.15556. Figures (12 Apr 2022): 70 billion parameters trained on 1.3 trillion tokens; compared with Gopher's 280 billion parameters. Access: paper only.Made by Google DeepMind · 2022-04-12Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/an-empirical-analysis-of-co | one source |
| CodeGemmaChips, models and products | Small open Gemma models trained to complete, write and chat about computer code. released (open weights)Key facts Initial release 9 Apr 2024; v1.1 released 3 May 2024; variants: 7B pretrained, 7B instruction-tuned, 2B pretrained (stated "up to 2x faster code completion"); trained on 500 billion tokens; access: open weightsMade by Google DeepMind · 2024-04-09Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/codegemma · ai.google.dev/gemma/docs/releases | lab's own pages |
| D4RTChips, models and products | A model for reconstructing and tracking scenes in four dimensions (3D plus time), claimed to be much faster than earlier methods. researchKey facts Published 16 Jan 2026; claimed up to 300x faster than prior methods.Made by Google DeepMind · 2026-01-16 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml | one source |
| DataGemma (RIG and RAG)Chips, models and products | Gemma 2 models tuned to answer plain-language questions with public statistics drawn from Google's Data Commons. released (open weights; research tool)Key facts Released 12 Sep 2024; two approaches: Retrieval-Interleaved Generation (RIG) and Retrieval-Augmented Generation (RAG, which feeds Gemini 1.5 Pro); access: open weightsMade by Google DeepMind · 2024-09-12Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/datagemma · ai.google.dev/gemma/docs/releases | one source |
| Decoupled DiLoCoChips, models and products | A Google DeepMind method for resilient training of AI across distributed computers. researchKey facts Post dated 22 Apr 2026 (title only opened).Made by Google DeepMind · 2026-04-22 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml | one source |
| DiffusionGemmaChips, models and products | An open Gemma model that generates text by diffusion, which the lab says is four times faster. released (open weights)Key facts Theme: General-purpose AI models. Released 10 Jun 2026; model card same date.Made by Google DeepMind · 2026-06-10 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| DolphinGemmaChips, models and products | A Gemma-based model used to help decode dolphin communication. research releaseKey facts Theme: General-purpose AI models. April 2025 (index title); listed on the Gemma page.Made by Google DeepMind · 2025-04 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/7/ | one source |
| EmbeddingGemma (and EmbeddingGemma 2)Chips, models and products | Small open Gemma models that turn text (and, in version 2, other media) into numbers for search and retrieval. released (open weights)Key facts Theme: General-purpose AI models. EmbeddingGemma September 2025 (card 25 Sep 2025); EmbeddingGemma 2 released 6 Oct 2026 as an open, lightweight multimodal embedding model (card same date).Made by Google DeepMind · 2025-09 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| FlamingoChips, models and products | A single model that reads images, video and text together and learns new tasks from a few examples. released (paper)Key facts Preprint announced 28 Apr 2022. Figures (28 Apr 2022): 80-billion-parameter visual language model; studied on 16 tasks. Access: paper only.Made by Google DeepMind · 2022-04-28 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/tackling-multiple-tasks-wit · deepmind.google/blog/page/12 | one source |
| FunctionGemma and TranslateGemmaChips, models and products | Specialised open Gemma models: one for calling software functions, one for translation. released (open weights)Key facts Theme: General-purpose AI models. FunctionGemma December 2025 (Gemma page; card 14 Jan 2026); TranslateGemma January 2026 (Gemma page).Made by Google DeepMind · 2025-12 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/gemma/ · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 1.0Chips, models and products | Google DeepMind's first Gemini model family, described at launch as its largest and most capable AI model. released (superseded)Key facts Announced December 2023 (blog index). Technical report linked from the model-cards page (no date shown there). Launch post on blog.google could not be opened in this session, so sizes and benchmark figures are not recorded.Made by Google DeepMind · 2023-12 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/9/ · deepmind.google/models/model-cards/ · arxiv.org/abs/2312.11805 | lab's own pages |
| Gemini 1.5Chips, models and products | The second Gemini generation; a May 2024 update added a faster model and a longer context window. released (superseded)Key facts Gemini 1.5 announced February 2024; "Gemini breaks new ground: a faster model, longer context and AI agents" May 2024; updated production models and reduced 1.5 Pro pricing September 2024 (developers blog). Launch posts on blog.google could not be opened.Made by Google DeepMind · 2024-02Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/9/ · deepmind.google/blog/page/8/ | lab's own pages |
| Gemini 2.0 (Flash, Flash-Lite)Chips, models and products | The Gemini generation Google DeepMind introduced for the "agentic era", with Flash and Flash-Lite models for developers. released (superseded)Key facts Announced December 2024; generally available February 2025; "Start building with Gemini 2.0 Flash and Flash-Lite" February 2025; native image generation experiment March 2025. Model cards: Gemini 2.0 Flash (updated 15 Apr 2025), Flash-Lite (10 Apr 2025); Gemini 2.0 Pro released as experimental only (model-cards footnote).Made by Google DeepMind · 2024-12 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/7/ · deepmind.google/blog/page/7/ | lab's own pages |
| Gemini 2.5 (Pro, Flash, Flash-Lite, Deep Think)Chips, models and products | Gemini's "thinking" model generation of 2025; an advanced Deep Think version reached gold-medal standard at the International Mathematical Olympiad. released (superseded by Gemini 3)Key facts Gemini 2.5 announced March 2025; 2.5 Flash April 2025; 2.5 Pro I/O updates May 2025; family expanded June 2025; 2.5 Flash-Lite generally available July 2025; Deep Think version "officially achieves gold-medal standard at the International Mathematical Olympiad" July 2025; Deep Think in the Gemini app August 2025; native audio June 2025. Model cards: 2.5 Pro (27 Jun 2025), 2.5 Flash and Flash Image (26 Sep 2025), 2.5 Flash-Lite (26 Sep 2025), 2.5 Deep Think (1 Aug 2025).Made by Google DeepMind · 2025-03Read the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/7/ · deepmind.google/blog/page/6/ | lab's own pages |
| Gemini 3 FlashChips, models and products | A fast, lower-cost Gemini 3 model. releasedKey facts Released 17 Dec 2025; model card same date. Successor Gemini 3.5 Flash "is based on Gemini 3 Flash" (19 May 2026).Made by Google DeepMind · 2025-12-17 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 3 ProChips, models and products | The first Gemini 3 model, launched in November 2025 for consumers and developers. released (superseded by 3.1 Pro)Key facts Announced November 2025 ("A new era of intelligence with Gemini 3"; "Start building with Gemini 3"); model card updated 18 Nov 2025. Successor Gemini 3.1 Pro "is based on" Gemini 3 Pro (19 Feb 2026).Made by Google DeepMind · 2025-11-18 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/5/ · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 3.1 Flash-LiteChips, models and products | The fastest, cheapest Gemini 3 series model at its release. releasedKey facts Released 3 Mar 2026; model card same date. Followed by Gemini 3.5 Flash-Lite (21 Jul 2026).Made by Google DeepMind · 2026-03-03 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 3.1 ProChips, models and products | Google DeepMind's February 2026 Pro model for complex reasoning and coding tasks. released (API and apps)Key facts Model card 19 Feb 2026: based on Gemini 3 Pro; up to 1M tokens input, 64K output; Gemini app, Vertex AI, AI Studio, Gemini API, Antigravity, Gemini Enterprise, NotebookLM. Benchmarks (Thinking, High; as published Feb 2026): Humanity's Last Exam 44.4% (no tools), 51.4% (search and code); ARC-AGI-2 77.1%; GPQA Diamond 94.3%; SWE-Bench Verified 80.6%; SWE-Bench Pro 54.2%; Terminal-Bench 2.0 68.5%; BrowseComp 85.9%.Made by Google DeepMind · 2026-02-19 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/model-cards/gemini-3-1-pr · deepmind.google/blog/rss.xml | lab's own pages |
| Gemini 3.5 FlashChips, models and products | The first Gemini 3.5 model, built for complex, multi-step agent tasks. released (apps, API, Antigravity)Key facts Gemini 3.5 announced 15 May 2026; model card 19 May 2026: based on Gemini 3 Flash; 1M tokens input, 64K output. Benchmarks (May 2026, as published): Terminal-bench 2.1 76.2%; SWE-Bench Pro 55.1%; MCP Atlas 83.6%; Toolathlon 56.5%; OSWorld-Verified 78.4%; Finance Agent v2 57.9%; CharXiv Reasoning 84.2%; ARC-AGI-2 72.1%. Computer use added 24 Jun 2026.Made by Google DeepMind · 2026-05-15 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/model-cards/gemini-3-5-fl · deepmind.google/blog/rss.xml | lab's own pages |
| Gemini 3.5 Flash Cyber (and 3.8 Flash Cyber)Chips, models and products | A lightweight Gemini model for finding and patching software security flaws. releasedKey facts 3.5 Flash Cyber 17 Jul 2026; 3.8 Flash Cyber 2 Sep 2026 alongside 3.8 Flash; related post "Proactive cyber defense for governments and enterprises" (2 Sep 2026).Made by Google DeepMind · 2026-07-17 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/blog/rss.xml | lab's own pages |
| Gemini 3.6 Flash and Gemini 3.5 Flash-LiteChips, models and products | Mid-2026 Gemini Flash and Flash-Lite models for faster, cheaper tasks. releasedKey facts Released 21 Jul 2026 (with 3.5 Flash Cyber); model cards for both updated 21 Jul 2026.Made by Google DeepMind · 2026-07-21 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 3.7 FlashChips, models and products | An August 2026 Gemini Flash model. releasedKey facts Released 13 Aug 2026; model card same date.Made by Google DeepMind · 2026-08-13 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 3.8 FlashChips, models and products | Google DeepMind's current Flash model, aimed at complex agent tasks at scale. releasedKey facts Released 2 Sep 2026 with 3.8 Flash Cyber; model card same date; models page (read 30 Oct 2026): "Best for tackling complex agentic tasks at scale".Made by Google DeepMind · 2026-09-02 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/ · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini 4 ArgonChips, models and products | The first Gemini 4 model, aimed at software engineering, law, finance and defensive security work. released (apps, API, AI Studio, Antigravity)Key facts Announced 30 Sep 2026 ("our next era of frontier intelligence"); released 13 Oct 2026 with model card and safety post. Card: not a fine-tune of a prior model; text, image, audio and video input; up to 1M-token context; text output. Benchmarks (Oct 2026, as published): Vals Index 68.9%; AutomationBench 51.3%; DeepSWE v1.1 77.9%; Vibe Code Bench 91.9%; Terminal-bench 4.0 57.4%; PostTrainBench 45.3%; LABBench 2 88.8%; GraphWalks BFS 256k–1M 84.2%.Made by Google DeepMind · 2026-10-13 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/model-cards/gemini-4-argo · deepmind.google/blog/rss.xml | lab's own pages |
| Gemini 4 Argon for RoboticsChips, models and products | A robotics version of Gemini 4 Argon. releasedKey facts Announced 13 Oct 2026 (feed; developers blog link on the models page). Details page not opened. Earlier robotics line: Gemini Robotics 2 (28 Jul 2026), Robotics-ER 2 (30 Jul 2026).Made by Google DeepMind · 2026-10-13 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml | one source |
| Gemini 4 CarbonChips, models and products | Google DeepMind's newest frontier Gemini model, announced two days before this ledger's cut-off. released (announced)Key facts Announced 28 Oct 2026; listed at the top of the models page (read 30 Oct 2026). Launch post redirects to blog.google and could not be opened, so access and benchmarks are not recorded.Made by Google DeepMind · 2026-10-28 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/ | lab's own pages |
| Gemini DiffusionChips, models and products | Experimental Google DeepMind language model that writes text by diffusion, refining whole passages at once rather than word by word. research (experimental demo)Key facts Sampling speed stated as 1,479 tokens per second excluding overhead (overhead 0.84 seconds), averaged across reported evaluations; access: experimental demo with sign-up for updates; DiffusionGemma (BIZ-LAB-7161) is stated to build on its researchMade by Google DeepMind · — (release date not stated on the model page) | London | deepmind.google/models/gemini-diffusion/ | one source |
| Gemini EmbeddingChips, models and products | A Gemini model that turns text and other media into numbers for search and retrieval. released (date not on page)Key facts Theme: General-purpose AI models. Listed on the models page (read 30 Oct 2026); no date shown.Made by Google DeepMind | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/models/ | one source |
| Gemini Robotics 1.5 and Gemini Robotics-ER 1.5Chips, models and products | A robot action model that reasons before acting, paired with a planning model that can call tools such as Google Search. released (ER 1.5 via Gemini API; 1.5 to select partners)Key facts Announced 25 Sep 2025. Access: Gemini Robotics-ER 1.5 through the Gemini API in Google AI Studio; Gemini Robotics 1.5 to select partners. Evaluated on 15 academic embodied-reasoning benchmarks.Made by Google DeepMind · 2025-09-25 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/gemini-robotics-15-brings-a · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini Robotics 2 (with Robotics-ER 2 and On-Device 2)Chips, models and products | Google DeepMind's second-generation robot models, adding whole-body control, video understanding and multi-robot teamwork. releasedKey facts Gemini Robotics 2 announced 28 Jul 2026; Gemini Robotics ER 2 30 Jul 2026 (cards for ER 2 and On-Device 2 dated 30 Jul 2026); models page: "The intelligence layer to power any kind of robot". Related: "Powering the future of robotics in Europe" (9 Jun 2026).Made by Google DeepMind · 2026-07-28 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/blog/rss.xml | lab's own pages |
| Gemini Robotics and Gemini Robotics-ERChips, models and products | Gemini-based models that let robots act on what they see and are told; the ER version adds spatial reasoning for robot builders. released (trusted testers; Apptronik partnership)Key facts Announced 12 Mar 2025; built on Gemini 2.0. Figure: "more than doubles performance on a comprehensive generalization benchmark". Access: Gemini Robotics-ER to trusted testers; partnership with Apptronik on humanoid robots. Version history: Gemini Robotics (Mar 2025) → On-Device (Jun 2025) → 1.5 (Sep 2025) → ER 1.6 (Apr 2026) → Gemini Robotics 2 / ER 2 / On-Device 2 (Jul 2026) → Gemini 4 Argon for Robotics (Oct 2026).Made by Google DeepMind · 2025-03-12Versions Gemini Robotics (Mar 2025) → On-Device (Jun 2025) → 1.5 (Sep 2025) → ER 1.6 (Apr 2026) → Gemini Robotics 2 / ER 2 / On-Device 2 (Jul 2026) → Gemini 4 Argon for Robotics (Oct 2026) | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/gemini-robotics-brings-ai-i · deepmind.google/blog/page/7/ | one source |
| Gemini Robotics On-DeviceChips, models and products | A robotics model for two-armed robots that runs on the robot itself, without a network connection, and can be fine-tuned. released (SDK for trusted testers)Key facts Announced 24 Jun 2025; Gemini Robotics SDK for trusted testers. Figure: adapts to new tasks with "50 to 100 demonstrations". Model card updated 1 Jul 2025; Gemini Robotics On-Device 2 card dated 30 Jul 2026.Made by Google DeepMind · 2025-06-24 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/gemini-robotics-on-device-b · deepmind.google/models/model-cards/ | lab's own pages |
| Gemini Robotics-ER 1.6Chips, models and products | A robotics reasoning model with better spatial and multi-camera understanding. releasedKey facts Released 13 Apr 2026; model card updated 20 Apr 2026.Made by Google DeepMind · 2026-04-13 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/model-cards/ | lab's own pages |
| Gemma (first generation)Chips, models and products | Google's first family of lightweight open-weight models, built from the technology behind Gemini. released (open weights)Key facts Theme: General-purpose AI models. Announced February 2024 (blog index). Gemma page (read 30 Oct 2026): "a collection of lightweight, open models built from the same technology that powers our Gemini models"; downloadable via Kaggle, Hugging Face, Ollama and others. Variants with model cards: Gemma 1, Gemma 2, CodeGemma, RecurrentGemma, PaliGemma 1 and 2, ShieldGemma 1 and 2 (cards updated 25 Feb 2025).Made by Google DeepMind · 2024-02Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/9/ · deepmind.google/models/gemma/ | lab's own pages |
| Gemma 2 (2B, 9B, 27B; plus Gemma 2 JPN)Chips, models and products | Second generation of Google DeepMind's small open-weight language models, released in three sizes. released (open weights)Key facts 9B and 27B released 27 Jun 2024; 2B released 31 Jul 2024; Gemma 2 JPN (2B) released 3 Oct 2024; 27B trained on 13 trillion tokens, 9B on 8 trillion, 2B on 2 trillion (model card); trained on TPUv5p; access: open weightsMade by Google DeepMind · 2024-06-27Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/releases · ai.google.dev/gemma/docs/core/model_card_2 | lab's own pages |
| Gemma 3 (incl. Gemma 3 270M)Chips, models and products | The third generation of Google's open-weight Gemma models; a tiny 270-million-parameter version followed in August 2025. released (open weights)Key facts Theme: General-purpose AI models. "Introducing Gemma 3" March 2025; "Introducing Gemma 3 270M: The compact model for hyper-efficient AI" August 2025; model card updated 14 Aug 2025; Gemma Scope 2 interpretability tools cover the Gemma 3 family (16 Dec 2025); a Gemma model helped identify a potential cancer therapy pathway (October 2025 index).Made by Google DeepMind · 2025-03 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/7/ · deepmind.google/blog/page/6/ | lab's own pages |
| Gemma 3nChips, models and products | An open Gemma model variant introduced in June 2025 with a developer guide. released (open weights)Key facts Theme: General-purpose AI models. "Introducing Gemma 3n: The developer guide" June 2025; model card updated 17 Jun 2025.Made by Google DeepMind · 2025-06 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/6/ · deepmind.google/models/model-cards/ | lab's own pages |
| Gemma 4 (E2B, E4B, 12B, 26B, 31B)Chips, models and products | Google DeepMind's fourth generation of open-weight models, built for reasoning and agent workflows. released (open weights)Key facts Theme: General-purpose AI models. Released 2 Apr 2026; sizes E2B, E4B, 12B, 26B, 31B (Gemma page); Gemma 4 QAT June 2026; Gemma 4 12B "a unified, encoder-free multimodal model" 9 Jun 2026; model card updated 2 Apr 2026. Downloads via Kaggle, Hugging Face, Ollama, LM Studio and others. Launch post redirects to blog.google and was not opened (no download figures recorded).Made by Google DeepMind · 2026-04-02 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/models/gemma/ | lab's own pages |
| Genie (first version, "Generative Interactive Environments")Chips, models and products | First Genie world model: generates interactive, controllable environments, learned without labels from internet videos. research (paper only)Key facts arXiv 2402.15391 submitted 23 Feb 2024; 11B parameters; trained unsupervised on unlabelled internet videos; access: paper only (successors Genie 2, 3 and 4 already listed)Made by Google DeepMind · 2024-02-23Versions Genie → Genie 2 → 3 → 4 | London | arxiv.org/abs/2402.15391 | one source |
| Genie 2Chips, models and products | A world model that turns one image into a playable 3D world a person or AI agent can move through. research onlyKey facts Announced 4 Dec 2024. Figure: consistent worlds for up to a minute. Version history: Genie 1 (2D worlds) → Genie 2 (Dec 2024) → Genie 3 (Aug 2025) → Genie 4 (Oct 2026).Made by Google DeepMind · 2024-12-04Versions Genie 1 (2D worlds) → Genie 2 (Dec 2024) → Genie 3 (Aug 2025) → Genie 4 (Oct 2026) | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/genie-2-a-large-scale-found · deepmind.google/blog/page/8/ | one source |
| Genie 3Chips, models and products | A world model that builds explorable, interactive virtual worlds from a text description in real time. limited research previewKey facts Announced 5 Aug 2025; limited preview for a small set of academics and creators. Figures (5 Aug 2025): 720p at 24 frames per second; consistent for a few minutes. Predecessors: Genie 1, Genie 2.Made by Google DeepMind · 2025-08-05 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/genie-3-a-new-frontier-for- · deepmind.google/blog/page/6/ | one source |
| Genie 4Chips, models and products | Google DeepMind's newest world model, generating interactive worlds in real time with sound, physics and characters steered by text. research preview (trusted testers; waitlist)Key facts Announced 27 Oct 2026; research preview for trusted testers; coming to Google AI Ultra subscribers in Project Genie and to early-access Gemini API and AI Studio partners. Limitation stated: "a few minutes of continuous interaction". First Genie to generate audio natively.Made by Google DeepMind · 2026-10-27 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/genie-4-a-new-generation-of · deepmind.google/models/genie/ | lab's own pages |
| Google DeepMindCompanies | Builds general-purpose AI models and research systems for Google and for science, including the Gemini models and the Genie world-simulation models. mergedProfile
Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: single_source (company pages only). Sources Models and products (140)Version chainsLyria → Lyria 2Gemini Robotics (Mar 2025) → On-Device (Jun 2025) → 1.5 (Sep 2025) → ER 1.6 (Apr 2026) → Gemini Robotics 2 / ER 2 / On-Device 2 (Jul 2026) → Gemini 4 Argon for Robotics (Oct 2026)Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma)Genie 1 (2D worlds) → Genie 2 (Dec 2024) → Genie 3 (Aug 2025) → Genie 4 (Oct 2026)Veo 2 (Dec 2024) → Veo 3 → Veo 3.1 (Oct 2025) → Veo 3.1 Lite (card 8 Apr 2026)AlphaGeometry → AlphaGeometry 2Genie → Genie 2 → 3 → 4AlphaCode → AlphaCode 2AlphaGo → AlphaZero → MuZeroAlphaGo Fan → AlphaGo Lee → AlphaGo Master → AlphaGo Zero
Selected papers (25)
Key facts and news (3)
News
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London (EC2M 4AG) | Companies House · deepmind.google/blog/announcing-google-deepmind/ · deepmind.google/about · find-and-update.company-information.service.gov. · find-and-update.company-information.service.gov. | verified |
| GopherChips, models and products | A 280-billion-parameter language model that DeepMind used to study scale, risks and retrieval. released (paper)Key facts Announced 8 Dec 2021 with three papers (Gopher study; ethical and social risks; retrieval architecture). Figures (8 Dec 2021): models trained from 44 million to 280 billion parameters. Access: paper only. Successor named in Apr 2022: Chinchilla (70bn parameters).Made by Google DeepMind · 2021-12-08 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/language-modelling-at-scale · deepmind.google/blog/page/13 | one source |
| IthacaChips, models and products | An AI model for ancient Greek inscriptions; the predecessor of Aeneas. released (paper)Key facts Blog March 2022 (index). Aeneas post (23 Jul 2025) says Ithaca is being upgraded to run on Aeneas.Made by Google DeepMind · 2022-03 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/12 | one source |
| Juno-N-Coder-25B (Locai Labs)Chips, models and products | Locai Labs' compressed open-source coding model, cut down from NVIDIA Nemotron 3.5 Lightning to run on its Locai 1 office server. releasedKey facts 25.57B total parameters (19% fewer than the 31.56B base); experts pruned by 25%; quantised to NVFP4; listed as 25B-A3B; first Juno model shipped on the Locai 1 appliance (press release 11 Aug 2026)Made by Locai Labs · 2026-07 | London | locailabs.com/research · locailabs.com/news/press-release-locai-labs-laun | one source |
| Jupiter-N (Locai Labs)Chips, models and products | Locai Labs' 120-billion-parameter model: NVIDIA's Nemotron 3 Super re-trained for British context; it powers Locai's GB1 assistant. releasedKey facts 120B parameters; post-train of NVIDIA Nemotron 3 Super; technical report arXiv 2604.17429; a sister 8B model, Jupiter-G, applies the same recipe to Google Gemma-4 (locailabs.com/research). Civo calls Jupiter the first model of the Mercury Series (14 Apr 2026)Made by Locai Labs · 2026-04 | London | locailabs.com/research · civo.com/blog/uks-first-sovereign-llms-locai-lab | lab's own pages |
| Med-GeminiChips, models and products | Family of Gemini models specialised for medicine, tested on medical exam and imaging benchmarks. research (paper only)Key facts arXiv 2404.18416 submitted 29 Apr 2024; evaluated on 14 medical benchmarks; best model 91.1% accuracy (stated as state of the art); Google paper — split between Google Research and Google DeepMind authors not checked; access: paper onlyMade by Google DeepMind · 2024-04-29 | London (EC2M 4AG) (via Google DeepMind) | arxiv.org/abs/2404.18416 | one source |
| MedGemma (incl. MedGemma 1.5 4B)Chips, models and products | Open Gemma-based models for building health AI applications. released (open weights)Key facts Theme: General-purpose AI models. "MedGemma: Our most capable open models for health AI development" July 2025 (Google Research blog, listed on DeepMind index); MedGemma 1.5 4B January 2026 (Gemma page).Made by Google DeepMind · 2025-07 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/6/ · deepmind.google/models/gemma/ | lab's own pages |
| Microsoft AI London hubCompanies · also on Big tech in the UK | A Microsoft research and engineering team in London that works on large language models and the infrastructure behind them.Profile
Labs Round 8 deep profile (31 Oct 2026), as the researchers wrote it; confidence: verified (opening: Microsoft and GOV.UK); lead one source. Sources Key facts and news (3)
News
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | London | blogs.microsoft.com/blog/2024/04/07/announcing-n · gov.uk/government/news/leading-tech-firms-invest · uktech.news/ai/microsoft-ai-hub-london-20240408 · microsoft.ai/news/frontier-pre-training-at-micro | verified |
| MuJoCo (open-sourced physics simulator)Chips, models and products | A physics simulator for robotics research that DeepMind opened up in 2021 and open-sourced in 2022. released (open source)Key facts "Opening up a physics simulator for robotics" October 2021; "Open-sourcing MuJoCo" May 2022 (index titles).Made by Google DeepMind · 2022-05 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/12 · deepmind.google/blog/page/13 | one source |
| MuZeroChips, models and products | A game-playing system that learns its own model of a game and plans with it, without being told the rules. released (paper)Key facts Nature paper announced 23 Dec 2020 (preliminary paper 2019). Access: paper only. Figures (23 Dec 2020): playing strength rose by more than 1,000 Elo as thinking time per move rose from 0.1 to 50 seconds. Version history (as published): AlphaGo → AlphaZero → MuZero. Applied to video compression (index: "MuZero's first step from research into the real world", Feb 2022).Made by Google DeepMind · 2020-12-23Versions AlphaGo → AlphaZero → MuZeroRead the paper | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/muzero-mastering-go-chess-s · deepmind.google/blog/page/12 | one source |
| Nemotron-Personas-UK-Extended (NVIDIA Nemotron Personas, en_GB)Chips, models and products | A synthetic dataset of UK population personas for training AI, built by NVIDIA with London-based Locai Labs. released (NVIDIA Dataset License)Key facts NGC catalogue: version 1.0 dated 20 Oct 2026; 1,000,000 records containing 9,000,000 personas; NVIDIA Dataset License Agreement (source data also under Open Government Licence v3.0 and CC BY 4.0). Extended version adds sensitive demographic fields and healthcare and finance personas not in the open version. Tile note: division and tile follow Locai Labs' Labs-page placement if different.Made by Locai Labs · 2026-10-20 | catalog.ngc.nvidia.com/orgs/nvidia/nemotron-pers | one source | |
| PaliGemmaChips, models and products | Small open model that reads images and text together, for tasks such as captioning and answering questions about pictures. released (open weights)Key facts Initial release 14 May 2024; 3B parameters; inspired by PaLI-3 (arXiv 2310.09199), uses SigLIP vision encoder and Gemma language model; access: open weightsMade by Google DeepMind · 2024-05-14Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/paligemma · ai.google.dev/gemma/docs/releases | lab's own pages |
| PaliGemma 2 (and PaliGemma 2 mix)Chips, models and products | Second version of the open image-and-text Gemma model, in three sizes. released (open weights)Key facts Released 5 Dec 2024 in 3B, 10B and 28B sizes; PaliGemma 2 mix released 19 Feb 2025 in 3B, 10B and 28B; access: open weightsMade by Google DeepMind · 2024-12-05Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/releases · ai.google.dev/gemma/docs/paligemma | lab's own pages |
| Perceiver and Perceiver IOChips, models and products | General neural-network designs that take in many kinds of data (images, sound, text) and produce many kinds of output. released (open code; papers)Key facts Blog 3 Aug 2021; papers arXiv 2103.03206 (Perceiver) and 2107.14795 (Perceiver IO); code open-sourced in deepmind-research GitHub repository; access: open codeMade by Google DeepMind · 2021-08-03 | London | deepmind.google/blog/building-architectures-that | one source |
| Project GenieChips, models and products | An experimental app in which users create and explore AI-generated interactive worlds. released (prototype for Google AI Ultra subscribers in the US)Key facts Launched 29 Jan 2026 for Google AI Ultra subscribers in the US; Street View real-world places added 17 May 2026; Genie 4 coming to it (27 Oct 2026).Made by Google DeepMind · 2026-01-29 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rss.xml · deepmind.google/blog/rss.xml | lab's own pages |
| RecurrentGemma (2B and 9B)Chips, models and products | Open Gemma language model built on a different design (Griffin) that mixes recurrence with local attention to run more efficiently. released (open weights)Key facts Initial release 9 Apr 2024; 9B variant released 11 Jun 2024; based on the Griffin architecture (arXiv 2402.19427); access: open weightsMade by Google DeepMind · 2024-04-09Versions Gemma → Gemma 2 (and CodeGemma, RecurrentGemma, PaliGemma → PaliGemma 2, ShieldGemma → ShieldGemma 2, DataGemma) | London | ai.google.dev/gemma/docs/recurrentgemma · ai.google.dev/gemma/docs/releases | lab's own pages |
| Recursive FlintChips, models and products | Recursive Superintelligence's first public model: a 40-billion-parameter coding model built to run fast on local machines. releasedKey facts 40B total parameters, about 2B active, mixture-of-experts (recursive.com, read 2026-10-30); the company says its automated research system shaped every stage of the build; listed as "Model 01"Made by Recursive Superintelligence · 2026 (date not given on page) | London | recursive.com/ · recursive.com/ | one source |
| RETRO (Retrieval-Enhanced Transformer)Chips, models and products | Language model that looks up passages in a very large text database while it writes, so a smaller model can match much larger ones. research (paper only)Key facts Announced 8 Dec 2021; 7.5B-parameter model with a retrieval database of up to 2 trillion tokens; outperformed 175B Jurassic-1 on 10 of 16 Pile datasets and 280B Gopher on 9 of 16; access: paper onlyMade by Google DeepMind · 2021-12-08 | London | deepmind.google/blog/improving-language-models-b | one source |
| RT-2 (Robotic Transformer 2)Chips, models and products | A robot-control model that learns from web and robot data and turns camera images and instructions into robot actions. released (paper)Key facts Announced 28 Jul 2023 (paper only). Figures (28 Jul 2023): success on unseen scenarios rose from RT-1's 32% to 62%; over 6,000 robot trials. Predecessor: RT-1.Made by Google DeepMind · 2023-07-28 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/rt-2-new-model-translates-v · deepmind.google/blog/page/9/ | one source |
| Stability AICompanies | Builds open-weight generative models that make images, video and audio from text, including Stable Diffusion and Stable Audio, for media, games and music companies.Profile
Labs Round 7 deep profile (30 Oct 2026), as the researchers wrote it; confidence: single_source. Sources Models and products (27)Version chainsStable Audio 2.0 (3 Apr 2024) → Stable Audio Open (5 Jun 2024) → Stable Audio Open Small (14 May 2025) → Stable Audio 2.5 (10 Sep 2025) → Stable Audio 3.0 (20 May 2026)StableLM → Stable LM 2Stable Diffusion v1 → 2.0 → SDXL → SDXL Turbo → SD3 → SD3.5
Selected papers (12)
Key facts and news (7)
News
Labs Round 8 (31 Oct 2026), from the researchers' rows; one-source items are marked. | Los Angeles | Companies House · stability.ai/news-updates/stability-ai-latest-fu · tech.eu/2026/08/25/stabiityai-raises-76m-with-wa · stability.ai/news/stability-ai-secures-significa · find-and-update.company-information.service.gov. | verified |
| Stable LM 2 (1.6B and 12B)Chips, models and products | Stability AI's second family of small open language models, in 1.6-billion and 12-billion-parameter sizes. released (model)Key facts Theme: General-purpose AI models. Stable LM 2 1.6B announced 19 Jan 2024; Stable LM 2 12B announced 8 Apr 2024.Made by Stability AI · 2024-01-19Versions StableLM → Stable LM 2 | Los Angeles (via Stability AI) | stability.ai/news-updates/category/Product · stability.ai/news-updates/category/Product | one source |
| StableLM (Alpha, 3B and 7B)Chips, models and products | Stability AI's first suite of open language models, released in two small sizes. superseded (open weights)Key facts Alpha models of 3 billion and 7 billion parameters, with 15 to 65 billion stated to follow; trained on 1.5 trillion tokens of content; base models CC BY-SA-4.0, fine-tuned research models CC BY-NC-SA 4.0; access: open weights (GitHub); successor Stable LM 2 already listed (BIZ-LAB-7039)Made by Stability AIVersions StableLM → Stable LM 2 | London | stability.ai/news-updates/stability-ai-launches- | one source |
| Streams (DeepMind Health app)Chips, models and products | A mobile app for NHS hospital clinicians; DeepMind published a post explaining why it did not use AI. released (NHS hospital app)Key facts Index posts: "Bringing Streams to Yeovil District Hospital NHS Foundation Trust" (Nov 2017); "Why doesn't Streams use AI?" (Nov 2017); Royal Free legal audit findings (Jun 2018); "Scaling Streams with Google" (Nov 2018).Made by Google DeepMind · 2017-11 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/17/ · deepmind.google/blog/page/16 | one source |
| SynthIDChips, models and products | An invisible watermark that marks AI-generated images, then text, video and audio, so they can be identified later. released (in Google products; text watermarking open-source planned May 2024)Key facts Launched 29 Aug 2023 as a limited beta for Vertex AI customers using Imagen. Extended 14 May 2024 to text in the Gemini app and to Veo video; open-sourcing of text watermarking announced as planned. Later: SynthID Detector portal (May 2025, index); SynthID Bio for proteins (30 Sep 2026). Veo and Lyria outputs carry SynthID (model pages).Made by Google DeepMind · 2023-08-29 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/identifying-ai-generated-im · deepmind.google/blog/watermarking-ai-generated-t | lab's own pages |
| T5Gemma (and T5Gemma 2)Chips, models and products | A collection of Gemma models with an encoder-decoder design. released (open weights)Key facts Theme: General-purpose AI models. T5Gemma July 2025 ("A new collection of encoder-decoder Gemma models"); T5Gemma 2 December 2025 (Gemma page).Made by Google DeepMind · 2025-07 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/6/ · deepmind.google/models/gemma/ | lab's own pages |
| VaultGemmaChips, models and products | A Gemma language model trained with differential privacy, a privacy-protecting training method. released (open weights)Key facts Theme: General-purpose AI models. September 2025 (Google Research blog listed on DeepMind index; also on Gemma page).Made by Google DeepMind · 2025-09 | London (EC2M 4AG) (via Google DeepMind) | deepmind.google/blog/page/5/ · deepmind.google/models/gemma/ | lab's own pages |