DeepMind

Google released Gemini 4 Hydrogen on November 12, a model it pitches as the fast execution engine for coding and agent work beside the larger Gemini 4 Carbon and Argon. It costs $1.50 per million input tokens and $7.50 per million output tokens across a 1 million-token context and is rolling out in the Gemini API, AI Studio, the Gemini app, Search and Antigravity. Artificial Analysis scores it 51 on its Intelligence Index at the default high setting and 54 at xhigh, where it ranks 16th of 78 models; most other benchmark figures are Google's own.

Google DeepMind announced AlphaGenome 2 on November 11, a DNA sequence model that predicts how genetic variants affect gene activity in specific human cell types and states, trained on more than 100 million single-cell profiles across 68 tissues. DeepMind says it identifies nearly twice as many expression-changing variants as its predecessor on one immune-cell dataset and can adapt to new single-cell data without retraining. It is available free for non-commercial research via the AlphaGenome API, in private preview for commercial research, and is not validated for clinical use.

Google launched the Gemini Decisions API on November 11, powered by a new model, Gemini Decision 1, that scores closed-set questions (yes/no, 2 to 255 choices, or rubrics) against one text, image, audio, video or PDF input and returns probabilities and confidence scores instead of generated text. It handles up to 1,000 questions per request at $0.10 per million input tokens with no output charge. Google's own benchmarks put it ahead on five of seven shared tests; the independent Artificial Analysis Decision Index ranks it ninth of 18, per VentureBeat.

Google DeepMind introduced Gemini Robotics 2.5 on November 10, a vision-language-action model it says achieves 30% to 100% higher task success than previous baselines and runs 20% to 30% faster, and that let Apptronik's Apollo 2 humanoid sort automotive brackets on Mercedes-Benz production lines with a 96% success rate in a proof of concept. It also released ASIMOV-Jailbreak, an open benchmark for robot jailbreaks. The model is rolling out to partners only, and all figures are DeepMind's.

Google DeepMind said on November 10 that AlphaProof Code, a multi-agent framework built on Gemini Carbon, produced machine-checked Lean proofs that the code implementing the Signal protocol meets key security properties that human experts specified. DeepMind says the work took four weeks, that agents flagged about 1% of the proof for human review, and that the system caught two reintroduced bugs. Signal's CTO welcomed it; no independent audit has been published.

Google has put Gemini Omni 1.2 Flash into general availability on the Gemini API and Google Cloud, raising native clip length to 15 seconds from 10 on Omni 1.1 Flash and cutting the 720p price 30% to $0.07 per second. The update adds multi-turn conversational editing and stronger reference adherence; outputs carry SynthID, and Provisioned Throughput is available on Cloud. Independent ranking boards were not checked for this release.

Employees at Google DeepMind are pressing executives to drop non-disparagement clauses that apply for life, arguing they need to be free to tell the public about AI risks, The Washington Post reported on November 3. Google says it does not enforce the clause against former employees and has removed it from new hires' contracts; staff want it removed from existing ones too.

PlanAssist, an AI tool for English planning officers built with Gemini by Google DeepMind with Google Cloud and Faculty, moves into a 12-month beta on live applications across 15 councils, the UK government and DeepMind said. In pilots in Barnet, Camden and Dorset it cut officer time on householder assessment tasks by 58%, they say, and the government intends to offer it to every council in England by the end of 2027. Officers keep the final decision; the figures are the developers' and government's own.

Updated Nov. 11: Google made Gemini 4 Carbon available on November 10 through the Gemini API for all paying developers and enterprises, and began rolling it out to Google AI Ultra subscribers in the Gemini app, AI Mode in Search and Antigravity. The introductory price of $2 per million input tokens and $10 per million output tokens ends on November 30, when $4 and $20 apply. Artificial Analysis now lists Carbon (high) at 60 on its Intelligence Index, fourth behind three settings of Anthropic's Claude Fable 5.2. Google's new benchmark, cost-per-task and safety claims are its own. Earlier: Carbon went first to Fairwind cyber defenders.

Google DeepMind announced Genie 4 on October 27, a world model that generates interactive simulations together with music, ambient sound and dialogue, lets users change a running world with text prompts, and uses Gemini 3.8 Flash as an agent that monitors and steers each scene. It is available as a research preview to trusted testers, with Google AI Ultra subscribers and early-access Gemini API partners to follow. The Verge reports experiences can last about two minutes, up from one for Genie 3.

The UK's October 28 Budget confirms £100 million of public money for the AI Biosecurity Lab between 2027-28 and 2029-30, as part of a £165 million National AI Biosecurity Initiative, and says the lab will be supported by up to £200 million in AI model credits from OpenAI and Anthropic. The Budget also confirms the additional £120 million for the AI Security Institute and the £60 million Cyber Shield and £70 million NERV Centre that the BBC first reported. The government announced the lab on October 24 as an independent non-profit; the company commitments are credits and access, not cash.

In the Gemini 4 Argon Safety & Security Report, Google DeepMind published what researcher Haydn Belfield calls its first holistic assessment of ML R&D automation. It found 'no significant end-to-end acceleration of ML R&D,' even as most production code is more than 75% AI-written, according to Belfield's thread and Decrypt.

At a Commons committee hearing on Oct. 13, Anthropic said there should be binding rules on AI companies and OpenAI backed a statutory framework with some mandatory elements, starting with incident reporting, WIRED reports. Google DeepMind and Meta did not back new legislation. This was an evidence session; officials described the UK's current frontier-AI safety regime as voluntary.

Biohub said its Virtual Biology Initiative has grown into a $1.8 billion commitment of funding, data, compute and measurement tech for open, AI-ready biology data. New cash includes $300 million from Google DeepMind, Isomorphic Labs and Meta plus more than $500 million from DOE over five years; Biohub's April $500 million pledge and more than $500 million in prior NIH investment are part of the same stack, not fresh money. Commercial funders get an embargo before data goes public, per Reuters.

Google DeepMind’s Koray Kavukcuoglu named Gemini 4 Argon for long-horizon software engineering, legal/finance knowledge work, and cyber defense. Access starts with trusted Fairwind defenders (without cyber guardrails) and the U.S. government’s voluntary pre-release process; paid API and AI Ultra wait on safeguard iteration. Lab-claimed benches lead DeepSWE and AutomationBench; CWE-bench v1 ties peers at 68%.

OpenAI’s Chris Lehane said safety discussions with Anthropic and Google DeepMind had been running for several weeks. He said OpenAI did not see a need for an antitrust waiver; that is the company’s position, not a legal determination.

Google shipped Gemini 3.8 Live and Live Extended Thinking for production voice agents. Google says Extended Thinking tops Artificial Analysis’ Speech-to-Speech Quality Index at 82.6; API audio is $0.005/min in and $0.018/min out. SynthID on all generated audio.

Google announced hourly WeatherNext 3 forecasts, with selected surface variables at 5 km resolution, beginning rollout across Search, Gemini and Maps. Google cites Brightband’s evaluation for its leading-accuracy claim.

Google launched Gemini 3.8 Flash at a $0.75/$3.75 intro price through year-end, plus 3.8 Flash Cyber for trusted defenders via the new Fairwind program. Public Flash stays the workhorse; Cyber-tier tools stay gated to vetted defenders.

Google launched Gemini Omni 1.1 Flash for developers: scene extension to 40 seconds from 10 seconds of prior context, first/last-frame interpolation, 360p drafts, 4K upscale, and three-second video references. Production video SKU of Gemini Omni — not a new Flash language model. Customers cited: Adobe Firefly, Figma Weave, Runway.

Google launched Gemini 3.5 Transcribe — streaming and file speech-to-text with 4.0%/2.6% Artificial Analysis WER, 70% faster time-to-final than Chirp 3, 85+ languages, and public-preview APIs, with use in Gboard Rambler. Google cites AA’s results; noisy call-center audio is the open question.

Google DeepMind said the Gemma open-model family passed one billion downloads and 100,000 community variants over two years. It also launched the Awesome Gemma directory. Downloads are not a count of unique users.

Google VP Josh Woodward said Gemini and Flow are rolling out a Media watermark toggle that removes the visible sparkle from Nano Banana, Omni, and Lyria outputs — while invisible SynthID and C2PA credentials remain. The toggle will not launch where law requires a visible mark. Same day as Anthropic’s Claude text-watermark explainer.

Ryanair and Google Cloud announced a five-year partnership planning Workspace and Cloud deployment to about 35,000 employees, Gemini Enterprise workflows, and DeepMind models for fleet operations, with multi-cloud resilience supporting its target of 300 million passengers by 2034.