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Gemini 4 Argon: Google's New Frontier Model, Explained

By ChatGBot · October 2, 2026

On September 30, 2026, Google launched Gemini 4 Argon, which it calls its most powerful model yet and its "next era of frontier intelligence." It is built for deep reasoning across long, complex workflows, and Google says it beats the current flagships from OpenAI and Anthropic on a range of benchmarks. Here is what is new and when you can use it.

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What is new in Gemini 4 Argon

Argon is aimed at hard, multi-step work: coding, research, knowledge work, cybersecurity defense, and creative writing. The headline change is a much larger 1 million token output limit, up from 64K, which lets it produce very long and complex results in a single response. For background on the family, see our Gemini guide.

How it compares

Google claims Argon scored significantly higher than OpenAI's GPT-6 Astra and Anthropic's Fable and Opus models across a variety of AI benchmarks. As always, vendor benchmarks are a starting point, not the last word, so independent testing over the coming weeks will tell the real story. See also Claude Opus 5.5.

Pricing and availability

Argon launches at an introductory $2 per million input tokens and $10 per million output tokens, with cached input priced at 95% off the input rate. Access is rolling out in stages: first to Google's cyber partners through its Fairwind security program, then "soon" to Google AI Ultra subscribers and paid API customers.

Why it matters

Argon keeps a remarkable run going: Claude Opus 5.5, GPT-6 Sol and Luna, GPT-6.1 Sol, a new Grok, and now Google's strongest model, all within days of each other. The frontier is moving fast and getting cheaper, and the real advantage goes to whoever matches the right model to each task. For the full picture, read our September 2026 AI model releases roundup.

Frequently asked questions

When was Gemini 4 Argon released? Google announced it on September 30, 2026, with a staged rollout.

What makes Argon different? It targets deep, long-horizon reasoning and raises the output limit to 1 million tokens, up from 64K.

How much does Gemini 4 Argon cost? An introductory $2 per million input tokens and $10 per million output tokens, with cached input 95% cheaper.

Can I use it now? It is rolling out to Google's cyber partners first, then to Google AI Ultra subscribers and paid API customers soon.

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