Skip to content
NewA calmer, faster ZeroHour

Google launches Gemini 4 Carbon first for cyber defenders

Original title: [AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders

Latent Spaceby swyx .ai ()14 min read1
Part of a story covered by 11 sourcesGoogle limits Gemini 4 Carbon to Fairwind cyber defendersMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

DeepMind claims 88.2% on SEC-bench Pro; Artificial Analysis ranks Carbon first on Intelligence Index v5 at 59.

Google DeepMind announced Gemini 4 Carbon two weeks after Argon, aimed at cybersecurity and long-horizon tasks, with first access for trusted defenders through the Fairwind Program. Google cites 88.2% on SEC-bench Pro, 54.8% on ExploitGym and 71.0% on CWE-bench. The recap says the model has a 1 million-token context and accepts text, image, video and speech, with text output. Independent listings put it first on several indexes, while pricing quotes differ and coding results were measured in Antigravity CLI.

Unconfirmed: A stronger unreleased Gemini and the identity of hidden “Obsidian 3” are unconfirmed, and listed prices disagree.

Key facts
  • Google says Terminal-Bench 4.0 cheating successes fell to 0.0% and attempts to 0.4%.
  • Artificial Analysis lists $4/$20 standard pricing and a 50% launch discount with no end date.
  • Phil Schmid quotes $2/$10 per million input/output tokens.
  • Carbon’s hallucination rate rose from Argon’s 4% to 11%, still called second lowest.
  • Sundar Pichai expects faster training and launches from recursively self-improving systems.
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

14 min read at latent.space

Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.

Latent Space

By swyx .ai · latent.space

Read the full article at Latent Space

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.