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Google's Gemini 4 Carbon is a launch built on vendor-reported cyber benchmarks (SEC-bench Pro, ExploitGym, CWE-bench) that have not been independently verified in this piece. Pricing is inconsistent across sources: Schmid's $2/$10 figure carries an asterisk, while Artificial Analysis lists $4/$20 with an open-ended launch discount. Readers should weigh the restricted rollout to vetted defenders and the open pricing questions before treating the model as broadly available.
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[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders

Latent Space64 min de cititArticolul și perspectiva sunt în engleză.

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

Launch: Google DeepMind announced Gemini 4 Carbon two weeks after Argon. It is positioned as state of the art on cybersecurity and long-horizon tasks (@sundarpichai, @GoogleDeepMind). Claimed cyber results: 88.2% on SEC-bench Pro for vulnerability finding, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching (@sundarpichai). Availability: Carbon first goes to trusted cyber defenders through the Fairwind Program, with wider developer access promised "as soon as possible" (@GoogleAI). Pricing: Phil Schmid quotes $2/$10 per million input/output tokens with an asterisk (@_philschmid). Artificial Analysis lists $4/$20 standard pricing with a 50% launch discount that has no end date. Cached input costs $0.20 per million tokens (@ArtificialAnlys). Specs: The model has a 1M-token context window and 1M max output. Inputs are text, image, video and speech; output is text (@ValsAI). Launch: Google DeepMind announced Gemini 4 Carbon two weeks after Argon. It is positioned as state of the art on cybersecurity and long-horizon tasks (@sundarpichai, @GoogleDeepMind). Claimed cyber results: 88.2% on SEC-bench Pro for vulnerability finding, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching (@sundarpichai). Claimed cyber results: 88.2% on SEC-bench Pro for vulnerability finding, 54.8% on ExploitGym for exploitation and 71.0% on CWE-bench for patching (@sundarpichai).…

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