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Google announces Gemini 4 Carbon, tops Artificial Analysis index but limits access

Google's Gemini 4 Carbon, released two weeks after Argon, scores 59 on Artificial Analysis Intelligence Index v5.0 and is initially limited to cyber defenders in the Fairwind Program, at $2/$10 per million tokens.

Image: Google DeepMind
Curated by Javier DíazWritten with Claude · Wed 28 Oct, 13:58 · 3 min read · briefed from 6 sources

In context

  1. 01Google says Carbon ranks #1 on Artificial Analysis Intelligence Index v5.0 with 59; Latent Space reports the previous top score was Claude Opus 5.5 at 58.
  2. 02Google reports 88.2% on SEC-bench Pro, 54.8% on ExploitGym and 71.0% on CWE-bench, and more than 2x Argon's success rate in generating secure code.
  3. 03Access starts this week for a subset of cyber defenders via the Fairwind Program; Google gives no date for developers, businesses or consumers.
  4. 04Introductory pricing is $2 per million input and $10 per million output tokens; Artificial Analysis lists standard pricing at $4/$20 with a launch discount that has no end date.
  5. 05Ars Technica notes Carbon beats Argon by slim margins and that rivals score in the same range; Latent Space says Claude Code with Opus 5.5 beats Carbon on its coding agent index.

What happened

Google DeepMind announced Gemini 4 Carbon, which it calls its strongest model, with what it describes as state-of-the-art cybersecurity and long-horizon capabilities. Google says Carbon ranks first on version 5.0 of the Artificial Analysis Intelligence Index with a score of 59. The model arrives roughly two weeks after Gemini 4 Argon.

Google reports 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching. It says Carbon more than doubles Argon's success rate in generating secure code on internal benchmarks, and that the Chrome team found it more than 10 times better than another lab's large frontier model at producing high-quality patches. Carbon also rose 89 Elo points to fourth place (1768) on WebDev Arena.

Availability is narrow. Starting this week, Carbon goes to a subset of cyber defenders, with access phased in to more trusted partners through the Fairwind Program. Google says it is taking part in the US government's voluntary pre-release testing process and is iterating on guardrails before offering the model to developers, businesses and consumers. It gave no date for that wider release.

Pricing matches Argon's introductory rate of $2 per million input tokens and $10 per million output tokens, with cached input tokens 95% cheaper. Artificial Analysis, as summarized by Latent Space, lists standard pricing at $4 and $20 with a 50% launch discount that has no end date.

Why it matters

Carbon is the first model from Google DeepMind to take the top spot on the Artificial Analysis index, according to Latent Space, which puts it ahead of Claude Opus 5.5 (58) and GPT-6 Astra (57). The margins are small, though. Ars Technica notes that Carbon beats Argon by slim margins on every test Google supplied, that frontier models score in the same neighborhood, and that Carbon could even be a post-training upgrade of Argon. That is the publication's speculation, not something Google has said.

“Carbon illustrates the pace at which we’re pushing the frontier forward.”
Google DeepMind

Independent results are mixed. Latent Space's roundup shows Carbon behind Claude Code with Opus 5.5 on the Coding Agent Index (59 versus 62) and behind GPT-6 Astra, Opus 5.5 and Sonnet 5.5 on FrontierSWE. It leads on several knowledge and reasoning evals, and uses fewer output tokens per task than Opus. Its hallucination rate on Artificial Analysis's Omniscience test rose from 4% to 11% versus Argon, though that remains the second lowest measured. The coding-agent results were measured in Google's Antigravity CLI, so other harnesses are untested.

The staged rollout reflects the dual-use nature of the cyber results. Google frames the gains as defensive, but the same benchmarks measure exploitation, which is why it is routing the model through vetted defenders and government testing before general release.

What to watch

The main open question is when Carbon reaches developers and consumers. Google has made no promises on timing; Ars Technica suggests that, if it follows Argon, the wait could be a couple of weeks, and that AI Ultra subscribers and Gemini API developers may get it first.

Pricing is also unsettled. Ars Technica reports the discounted rate will double when the introductory period ends, and Google declined to give an end date, suggesting none has been decided. Argon's discounted rates run through the end of November.

Sources

  1. 01Artificial Analysis v5 and the benchmarker's dilemmaInterconnects · Wed 13:58
  2. 02Gemini 4 Carbon: Our next frontier modelGoogle DeepMind · Wed 18:00
  3. 03Gemini 4 Carbonblog.google · Wed 18:01
  4. 04Google announces Gemini 4 Carbon, its latest frontier AI model that you can't useArs Technica · Wed 19:47
  5. 05Google launches Gemini 4 Carbon with a ‘significant leap’ in cybersecurityThe Verge · Wed 21:03
  6. 06[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defendersLatent Space · 06:55

This briefing was written by Claude from the sources above. Check the original reporting before relying on it. How we work

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