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Google releases Gemini 4 Argon AI model for developers and paid subscribers

Google's new Gemini 4 Argon AI model is live in the API, Antigravity, the Gemini app and AI Mode in Search, with an introductory price for API use.

Announced by Google AIPublished Checked

Summary

Google has released Gemini 4 Argon, which it calls its latest frontier AI model, aimed at complex work in coding, finance, legal, cybersecurity and science. It is available through the API and to Google AI Ultra and Pro subscribers in several Google products. The page also lists an introductory API price and a 1M token limit.

What changed

  • Gemini 4 Argon is available via the API in AI Studio and the Gemini platform.
  • Google AI Ultra and Pro subscribers can use it in the Gemini app and AI Mode in Search.
  • Introductory API price: $2 per million input tokens and $10 per million output tokens.
  • The Gemini API offers a 1M unified input-output token limit.
  • Google is offering 10,000 scientists a free Antigravity tier for 6 months, by application.

Availability

Available now

“Gemini 4 Argon is now globally available today for developers and enterprises via the API in AI Studio and Gemini platform”

Pricing

PlanPrice, as statedChecked
Introductory input price$2 per million input tokens“of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).” source
Introductory output price$10 per million output tokens“of $2 per million input tokens and $10 per million output tokens (with cached input tokens at 95% off).” source

Prices as stated by the company; we don’t convert or estimate.

Founder takeaway

If you build on the Gemini API or pay for Google AI Ultra or Pro, test Argon on your hardest multi-step tasks and compare the cost with your current model. The price is introductory, so check it again later.

Sources

  1. Google AI — Gemini 4 Argon: Built to solve your hardest problemsPublished · Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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