Google Releases Gemini 4 Argon: From Fairwind Limited Availability to Global Rollout
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On October 1, 2026, Google DeepMind released the frontier model Gemini 4 Argon, initially available only to trusted web defenders through the Fairwind Program. At launch, Google said it excels at cybersecurity, coding, and research, and can autonomously discover, verify, and fix critical software vulnerabilities; internally, it has been used to save 300 TiB of data center memory and to migrate C/C++ code to Rust, including over 800,000 lines of the Fuchsia OS Zircon kernel. Citing the Vals Index, officials claimed it leads OpenAI GPT-6 Astra and Anthropic's Fable and Opus on multiple benchmarks; Latent Space said it ranks first on 13 of 19 benchmarks, with output limits raised from 64K to 1M tokens. Pricing reports differ: most reports say $2 per million input tokens and $10 per output token, with cached inputs at roughly a 95% discount, while Latent Space says pricing is $4/$20 (limited-time 50% off at $2/$10). On October 10, according to Business Insider, Google is testing multiple variants including Argon, Barium, and Carbon, with Carbon already deployed on its internal coding platform Jetski, reportedly outperforming Argon at coding. On October 14, Argon became globally available via the Gemini API, AI Studio, Antigravity, and the Gemini app; in the Gemini app it is limited to AI Pro ($20/month) and AI Ultra (starting at $99/month) paid users, while free users and Plus subscribers can only use the weaker Flash models. The same day, Google also positioned it as a general-purpose physical reasoning model, scoring 87% on the ERQA benchmark with pure reasoning, and published safety safeguard details. The Decoder judged it as approaching OpenAI and Anthropic but not clearly ahead. On October 16, The Decoder reported that Google uses the single Argon model to cover the full robotics pipeline, controlling robots, building virtual simulations with MuJoCo, and evaluating training videos, calling it a step toward physical AGI. Follow-up reports the same day said Argon scored 97.5% on ARC-AGI-3 using the Provider Adapter Harness (costing $4), with the test environment and model limitations becoming focal points of discussion.
AI overview of reporting · Updated 2 days ago
Developments
6 developments
- 10/16 23:03 · 1 reportsGemini 4 Argon Scores 97.5% on ARC-AGI-3The Decoder:Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months
- 10/14 06:28 · 1 reportsGemini 4 Argon Released, llm-gemini 0.35 Adds SupportSimon Willison:llm-gemini 0.35
- 10/14 00:00 · 6 reportsGoogle Launches Gemini 4 Argon, Available to Paid UsersGoogle DeepMind:Gemini 4 Argon: Built to solve your hardest problems
- 10/10 16:59 · 1 reportsGoogle tests Gemini 4 Carbon in beta, coding performance rivals Opus 5.5The Decoder:Google's Gemini 4 "Carbon" model reportedly feels like Anthropic's Opus 5.5 coding performance
- 10/1 04:11 · 1 reportsGoogle releases Gemini 4 Argon modelArs Technica · AI:Google announces Gemini 4 Argon AI model, but you can't use it yet
- 10/1 04:01 · 5 reportsGoogle releases Gemini 4 Argon with 1M outputGoogle DeepMind:Gemini 4 Argon: our next era of frontier intelligence
Reporting timeline
Explore different aspects of the story through its reporting.
- The DecoderSelectedGoogle's Gemini 4 Argon is closer to the AI frontier than any Google model in months
Google DeepMind's Gemini 4 Argon scored 97.5% on ARC-AGI-3 using the Provider Adapter Harness, at a cost of $4.
- The DecoderGoogle wants Gemini 4 Argon to be the only AI model robots need
Google released Gemini 4 Argon for the full robotics pipeline, able to control robots, build virtual simulations with MuJoCo and evaluate training videos, positioned as a step toward physical AGI.
- Simon Willisonllm-gemini 0.35
Simon Willison added support for the Gemini 4 Argon model to his llm-gemini plugin, available today via the Gemini API and a $100/month subscription plan, and generated low, medium and high-tier pelican SVG examples, with the high tier costing 17.166 cents.
- Google DeepMindSelectedDeveloping Gemini 4 Argon responsibly and safely
Google DeepMind released Gemini 4 Argon, focused on complex tasks like coding, finance, law, cybersecurity and science, and opened it first to cyber defenders through the Fairwind Program.
- The DecoderSelectedGemini 4 Argon is now available worldwide as Google's most capable frontier model
Google launched its flagship model Gemini 4 Argon globally through AI Studio, the Gemini platform and the Gemini app, while free users and Plus subscribers only get the weaker Flash model.
- Google DeepMindSelectedGemini 4 Argon for Robotics
Google DeepMind released Gemini 4 Argon as a general physical reasoning model, scoring 87% on the Embodied Reasoning (ERQA) benchmark, which tests understanding of 3D physical space problems, using pure reasoning to surpass other frontier models.
- Google DeepMindSelectedGemini 4 Argon: Built to solve your hardest problems
Google DeepMind released Gemini 4 Argon, available worldwide to developers, enterprises, scientists and consumers via the Gemini API, AI Studio, Antigravity and the Gemini app, priced at $2 per million input tokens and $10 per million output tokens, with cached input tokens at a 95% discount.
- Ars Technica · AISelectedGemini 4 Argon begins rolling out in Gemini app and Antigravity, but only if you pay
Google's Gemini 4 Argon began rolling out today in the Gemini app, limited to AI Pro ($20/month) and AI Ultra (from $99/month) subscribers.
- The Verge · AISelectedGoogle finally releases Gemini 4 Argon
Google released the Gemini 4 Argon model, claiming frontier reasoning capabilities that beat GPT-6 Astra, Claude Fable 5.1 and Claude Opus 5.5 on benchmarks in coding, cybersecurity, science, finance and law.
- The DecoderGoogle's Gemini 4 "Carbon" model reportedly feels like Anthropic's Opus 5.5 coding performance
According to Business Insider, Google is testing several Gemini 4 variants — Argon, Barium, and Carbon — with Carbon recently deployed on its internal coding platform Jetski, reportedly outperforming Argon on coding tasks; some employees likened it to Anthropic's strongest coding model, Opus 5.5.
- Latent Space[AINews] Gemini 4 Argon: GDM’s answer to Astra/Fable, with 1M output
Google DeepMind released Gemini 4 Argon, focused on coding, enterprise knowledge work and cyber defense, ranking first in 13 of 19 benchmarks. Its output cap rises from 64K to 1M tokens, priced at $4/$20 (limited-time half price $2/$10), currently available only to government users of the Fairwind program and trusted cyber defenders.
- TechCrunch · AIGoogle releases Gemini 4 Argon, called its most powerful model yet
Google released its new model Gemini 4 Argon, saying it excels at cybersecurity, coding, and research, and can autonomously discover, verify, and fix critical software vulnerabilities. The model was specifically trained on defensive cybersecurity tasks and is currently available only to select cybersecurity partners through the Fairwind security program; Google, citing Vals' model index, says it leads OpenAI GPT-6 Astra and Anthropic's Fable and Opus on multiple benchmarks.
- The DecoderGoogle Gemini 4 Argon closes the gap with OpenAI and Anthropic but doesn't take a clear lead
Google released Gemini 4 Argon, its first frontier model in more than seven months, with introductory pricing of $2 per million input tokens and $10 for output, and about a 95% discount on cached input.
- Ars Technica · AIGoogle announces Gemini 4 Argon AI model, but you can't use it yet
Google announced its new model Gemini 4 Argon, calling it industry-leading in coding, knowledge work and cybersecurity, but it remains in limited testing and is not yet available to general users. Google is already using it heavily internally: Argon helped save 300 TiB of data center memory using fleet-wide telemetry, and its agents have migrated over 800,000 lines of C/C++ code, including the Fuchsia OS Zircon kernel, to Rust.
- Google DeepMindSelectedGemini 4 Argon: our next era of frontier intelligence
Google DeepMind has released the frontier model Gemini 4 Argon, first opening it to trusted network defenders through the Fairwind Program, priced at $2 per million input tokens and $10 per million output tokens, with cached input at a 95% discount.
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