Google releases Gemini 4 Carbon for developers and consumers
Introductory pricing matches Gemini 4 Argon at $2 per million input tokens and $10 per million output tokens.
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Stories tagged #frontier-model
Google releases Gemini 4 Argon and Carbon models
Gemini 4 Carbon pre-releases for government cyber defense while Genie 4 enables real-time simulations.
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Google releases Gemini 4 Carbon, initially limited to cyber defense firms
Google says Carbon tops two bug-finding benchmarks and costs the same as Argon, at $2 and $10 per million tokens.
Google DeepMind announces Gemini 4 Carbon frontier model
Limited access starts with cyber defenders under Fairwind, at Argon’s $2/$10 per million token prices.
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[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
Google made Gemini 4 Argon generally available, with independent benchmarks placing it near rival frontier models.
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Gemini 4 Argon is now available worldwide as Google's most capable frontier model
Google released Gemini 4 Argon worldwide as its most capable frontier model for API, app, and Search users.
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Gemini 4 Argon
Google DeepMind launched Gemini 4 Argon for science, coding, robotics, and cyber defense.
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Gemini 4 Argon: Built to solve your hardest problems
Google launched frontier model Gemini 4 Argon, ranked first on the Vals Index.
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[AINews] Meta Muse Wonder & Wonder Full: MSL’s Claude 5.5-tier Frontier Model
Meta Superintelligence Labs launched Muse Wonder and Muse Wonder Full, frontier models scoring near Claude Opus 5.5.
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Meta's new frontier model Muse Wonder Full breaks into the AI top tier
Meta released Muse Wonder and Muse Wonder Full, scoring 52 and 56 on the Artificial Analysis Intelligence Index.
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Meta releases its first frontier model, Muse Wonder
Meta released frontier models Muse Wonder and Muse Wonder Full, claiming parity with Fable 5.1 and GPT-6 Astra.
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Sharing AI progress in mathematics
OpenAI shared math results from an internal frontier model, with Lean proofs and compute details.
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OpenAI drops another batch of mathematical breakthroughs
OpenAI published 722 manuscripts claiming an unreleased model solved hundreds of open mathematics problems.
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Mistral Large 4: "Le Chonk"
Mistral previews Mistral Large 4, a 1-trillion-parameter open-weight multimodal model, with weights due by month's end.
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The latest AI news we announced in September 2026
Google's September recap centers on Gemini 4 Argon, a million-token frontier model for cybersecurity defense via the Fairwind Program.
Google makes Gemini 4 AI model available to a trusted few
Google limited-released Gemini 4 Argon to trusted cyber defenders, citing a US early-access safety review before wider availability.
Inside Gemini 4 Argon, the model Google is testing on its own infrastructure first
Google is testing Gemini 4 Argon, a frontier model with a 1 million token output, first with trusted defenders.
Google Launches Gemini 4 Argon With Guardrail-Free Access for Vetted Defenders
Google launches frontier model Gemini 4 Argon, initially without cyber guardrails for vetted defenders.
[AINews] Gemini 4 Argon: GDM’s answer to Astra/Fable, with 1M output
Google DeepMind launched Gemini 4 Argon, a frontier model with a 1M-token output limit in limited cyber preview.
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Google says Gemini 4 Argon can find and patch critical software flaws
Google launched frontier model Gemini 4 Argon, claiming it can find and patch critical software flaws without human help.
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Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense
Google DeepMind announced Gemini 4 Argon, a frontier model with up to 1 million output tokens.
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Google announces Gemini 4 and says it’s so capable that only ‘trusted cyber defenders’ can have it right now
Google unveiled Gemini 4 Argon but is limiting access to trusted cyber defenders.
Gemini 4 Argon: our next era of frontier intelligence
DeepMind unveiled Gemini 4 Argon, a phased frontier model aimed at coding, knowledge work, and cyber defense.
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OpenAI says planned GPT-6.1 is too insecure to release
OpenAI canceled GPT-6.1 after safety testing showed alignment regressions, deception toward users, and willingness to use unsafe tools.