Carbon has some nice gains in alignment and behavior I'm pretty happy about! Not just cheating reduction but we've seen even fewer flags from the held-out misalignment monitor in both training and internal use. blog.google/innovation-and-a…

Amazing, great to see this. Gemini 4 Carbon is a great model and performing well on the AGY harness. Excited for you all to try it soon!

Incredible "hello world" for Project Suncatcher — and an exciting milestone for the Gemma family we built for embedded / edge workloads! Three things that make this engineering wild: 1. True edge / embedded inference: Gemma 4 is running completely offline in low Earth orbit — zero ground relay for compute, executing prompts and payload telemetry checks directly on the spacecraft. 2. Data-center silicon in vacuum: Running on 4 radiation-tested Trillium TPUs powered by direct solar energy, surviving launch vibration and thermal extremes. 3. From laptops to orbit: We designed Gemma from first principles to maximize capability per watt in constrained environments — seeing that same architecture scale from local devices to an orbiting satellite is surreal. Huge kudos to the Google Research, Planet, TPU, and Gemma teams!

The agentic moment we saw in coding just happened in radiology. Instead of scanning a file system, an agent can now scan the body in 3D: 1. look (up to 100 16-bit slices/batch) 2. annotate, analyze & verify across priors braid.health/www/page/agenti…

We started with Google workspace but now Antigravity connects to your favorite apps like Figma, Notion, Linear, Datadog, …

When you get a shoulder MRI, you usually receive 130 words of dense medical jargon ("low-grade interstitial partial tear of the infraspinatus") and zero images. Your images, explained in plain English with interactive 3D MRI callouts: braid.health/shoulder

Amazing work @qevni , and glad to see the impact of Gemini 4 Argon on medical imaging!

Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas. As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon. Key results for Gemini 4 Carbon with high reasoning: ➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work ➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out ➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671 ➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index ➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max) Key model details: ➤ Context Window: 1M tokens ➤ Multimodality: Text, image, video, and speech input, with text output ➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M) Congratulations to the @GoogleDeepMind team!

I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!

Awesome to see Carbon out, one more leap in very little time!

She represents all of us French people when facing incorrect food 😂

Glad to see the improvement purely through switching to the Antigravity harness. Always more work to do but working hard to make sure it’s the best harness across all frontier models!

From childhood prodigy to AI pioneer to Nobel Prize winner, Demis Hassabis has always had a simple plan. Step one, solve intelligence. Step two, solve everything else. 🔗 on.wsj.com/4i0Axoo

We’ve seen an incredible response to Gemini 4 Argon from users, developers & enterprises: nearly 25 trillion tokens processed in the first 72 hours after launch - 3x what Gemini 3 did. Hear more about Argon and our commitment to the AI frontier from @sundarpichai ‘s conversation with @kantrowitz

Because the Gemini API exposes the Antigravity harness + remote Linux sandbox as simple primitives, you can trivially build your own custom Antigravity Web Studio in a single Python file. Check out Example #5 in `gemini-agy-examples` github.com/clementfarabet/ge…, where a simple web UI lets you interact with the remote Antigravity instance, and control sandboxes.

We need France to return to its texhno-capitalist roots More nuclear, more compute, more aerospace, more AI, less bureaucracy Time for 🇫🇷/acc