Google DeepMind
London· founded 2010deepmind.google
Updated 11 h ago · first seen 11 Sept 2026
lab_01M293SP8THF9A8HQ728M0JZX5
Models
Models 2
Grouped by family (canonical family entity when known, legacy label otherwise).
| Model | Params | Context | Openness | Status | Released | Quality |
|---|---|---|---|---|---|---|
| Gemini 2.01 | ||||||
| Gemini 2.0 Flash (v20241212-experimental) | — | — | — | Active | — | 35 |
| Gemini 3.81 | ||||||
| Gemini 3.8 Flash Cyber | — | — | — | Active | — | 35 |
Families
Families 0
No family recorded for this organization.
Research
Papers 0
No paper is attributed to Google DeepMind: arXiv metadata carries author names but no affiliation, and a paper is linked to an organization only when an official model card or lab page cites it.
People
Researchers 0
Only researcher records with an identifier or a stated affiliation are listed.
No researcher is affiliated with Google DeepMind by a stated relation. The atlas's researcher rows come from arXiv author lists (name only, no identifier, no affiliation) and are not attributed to organizations.
Serving
Providers operated 0
No provider operated by this organization is recorded.
Code
Repositories & frameworks 2
Timeline
Corporate news 101
ANNOUNCEMENT events from the organization's own channels, newest first (dates are publication dates when stated).
Google DeepMind: Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
googleGemini 3.8 Flash: family changed from Gemini to Gemini 3.8
FamilyGemini→Gemini 3.8google- backfill
- backfill
Google DeepMind: AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
google - backfill
Google DeepMind: Introducing WeatherNext 3, our most advanced and accurate global weather AI model
google - backfill
Google DeepMind: Proactive cyber defense for governments and enterprises
google - backfill
Google DeepMind: Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
google - backfill
Google DeepMind: Introducing agentic video understanding with Gemini
google - backfill
Google DeepMind: Gemini Omni 1.1 Flash lets you build with more control
google - backfill
Google DeepMind: Piloting the world's first double-blind AI evaluations
google - backfill
Google DeepMind: Intelligent transcription with Gemini 3.5 Transcribe
google - backfill
Google DeepMind: From Atari to EVE Online: Building on 15 Years of AI Research in Games
google - backfill
- backfill
- backfill
Google DeepMind: WeatherNext: AI model achieves breakthrough in forecasting cyclones
google - backfill
Google DeepMind: Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration
google - backfill
Google DeepMind: We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
google - backfill
Google DeepMind: Gemini Robotics 2 brings whole body intelligence to robots
google - backfill
Google DeepMind: Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission
google - backfill
Google DeepMind: Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
google - backfill
- backfill
- backfill
Google DeepMind: Empowering India’s next generation of innovators with ATL Saathi
google - backfill
Google DeepMind: Google DeepMind and A24 announce first-of-its-kind research partnership
google - backfill
Google DeepMind: Start building with Nano Banana 2 Lite and Gemini Omni Flash
google - backfill
- backfill
Google DeepMind: Unlocking UK house-building with AI-accelerated planning
google - backfill
- backfill
Timeline
Model events 66
New models, releases, deprecations, price and property changes for the models this organization develops.
New model: Gemini 3.8 Flash Cyber (Google DeepMind)
googleGoogle Gemini API lists Gemini 3.8 Flash at $0.75 in / $3.75 out per 1M tokens
googleOpenRouter lists Gemini 3.8 Flash at $0.375 in / $1.875 out per 1M tokens
openrouterOpenRouter lists Gemini 3.8 Flash at $0.75 in / $3.75 out per 1M tokens
openrouterGemini 3.8 Flash scores 83.9% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 19.7% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 84.22% on MMMU-Pro
artificial_analysisGemini 3.8 Flash scores 55.09% on SciCode
artificial_analysisGemini 3.8 Flash scores 42.12% on Humanity's Last Exam
artificial_analysisGemini 3.8 Flash scores 93.54% on GPQA Diamond
artificial_analysisGemini 3.8 Flash scores 40 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.8 Flash scores 87.64% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 19.7% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 85.61% on MMMU-Pro
artificial_analysisGemini 3.8 Flash scores 56.6% on SciCode
artificial_analysisGemini 3.8 Flash scores 47.82% on Humanity's Last Exam
artificial_analysisGemini 3.8 Flash scores 95.25% on GPQA Diamond
artificial_analysisGemini 3.8 Flash scores 41.19 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.8 Flash scores 83.15% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 10.1% on Terminal-Bench
artificial_analysisGemini 3.8 Flash scores 84.51% on MMMU-Pro
artificial_analysisGemini 3.8 Flash scores 54.98% on SciCode
artificial_analysisGemini 3.8 Flash scores 37.07% on Humanity's Last Exam
artificial_analysisGemini 3.8 Flash scores 92.02% on GPQA Diamond
artificial_analysisGemini 3.8 Flash scores 33.79 on Artificial Analysis Intelligence Index
artificial_analysisGemini 3.8 Flash: capabilities changed from ["Caching", "Code execution", "Computer use", "File searc… to ["caching", "code_execution", "computer_use", "file_searc…
CapabilitiesCaching, Code execution, Computer use, File search, Function calling, Grounding with Google Maps, Search grounding, Structured outputs, Thinking, URL context→caching, code_execution, computer_use, file_search, function_calling, maps_grounding, reasoning, search_grounding, structured_output, url_contextgoogleGemini 3.8 Flash: context length changed from 1000000 to 1048576
Context window1M tokens→1.05M tokensgoogle- backfill
New model: Gemini 2.0 Flash (v20241212-experimental) (Google DeepMind)
swebench_leaderboard - backfill
Gemini 2.0 Flash (v20241212-experimental) scores 52.2% on SWE-bench Verified
swebench_leaderboard - backfill
- backfill
Gemini 3.8 Flash scores 81.412% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 87.793% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 54.006% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 91.564% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 54.242% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 72.489% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 89.293% on LiveBench
livebench_leaderboard - backfill
Gemini 3.8 Flash scores 75.828% on LiveBench
livebench_leaderboard - backfill
- backfill
First 40 of 66 loaded — the full timeline has cursor paging.
Sources
Sources 4
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.