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I Tried Google's New Gemini 4 Argon Model, and Here's How It Measures up to GPT-6

Google has released Gemini 4 Argon, a flagship AI model available to developers, enterprises, and paying consumers. The model features a 1M shared context window and is designed for complex tasks in coding, science, finance, legal, and cybersecurity. It is accessible via the Gemini API, Google Cloud, the Gemini app, AI Mode in Search, and Google Antigravity. Google claims Argon ranks first on the Vals Index for performance in critical economic sectors. Introductory pricing is set at $2 per million input tokens and $10 per million output tokens.

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  • โœ“ Gemini 4 Argon is available to developers and enterprises via the Gemini API and Google Cloud.
  • โœ“ The model is available to Google AI subscribers in the Gemini app, AI Mode in Search, and Google Antigravity.
  • โœ“ Gemini 4 Argon features a 1M shared context window.
  • โœ“ Introductory pricing is $2 per million input tokens and $10 per million output tokens.
๐Ÿ›ก๏ธ Source Corroboration: 10 independent reporting domains (100% confidence) โฑ Read time: ~2 min

What changed

Google released the Gemini 4 Argon model with specific pricing and performance benchmarks.

Live updates

  1. Google Launches Gemini 4 Argon Frontier Model

    Google has released Gemini 4 Argon, a flagship AI model available to developers, enterprises, and paying consumers. The model features a 1M shared context window and is designed for complex tasks in coding, science, finance, legal, and cybersecurity. It is accessible via the Gemini API, Google Cloud, the Gemini app, AI Mode in Search, and Google Antigravity. Google claims Argon ranks first on the Vals Index for performance in critical economic sectors. Introductory pricing is set at $2 per million input tokens and $10 per million output tokens.

    Why it matters

    This launch positions Google against other frontier models like GPT-6. By targeting high-precision professional domains, Google aims to move AI from general assistance to deep work in specialized industries.

    What is confirmed

    • Gemini 4 Argon is available to developers and enterprises via the Gemini API and Google Cloud.
    • The model is available to Google AI subscribers in the Gemini app, AI Mode in Search, and Google Antigravity.
    • Gemini 4 Argon features a 1M shared context window.
    • Introductory pricing is $2 per million input tokens and $10 per million output tokens.
    • Standard pricing will increase to $4 per million input tokens and $20 per million output tokens after November 30, 2026.
    • The model ranks first on the Vals Index for performance in finance, coding, legal, and tax work.

    Still unconfirmed

    • Gemini 4 Argon is being compared to GPT-6 in terms of performance.

    What to watch next

    • Price increase on November 30, 2026
    • Performance verification of the Vals Index ranking
    Sources used for this update (14)
    1. blog.google โ€” Gemini 4 Argon: Built to solve your hardest problems
    2. Ars Technica โ€” Gemini 4 Argon begins rolling out in Gemini app and Antigravity, but only if you pay
    3. blog.google โ€” Gemini 4 Argon: Built to solve your hardest problems
    4. Reuters โ€” Google launches flagship AI model Gemini 4 Argon for developers, businesses
    5. blog.google โ€” Gemini 4 Argon for Robotics
    6. lifehacker.com โ€” I Tried Google's New Gemini 4 Argon Model, and Here's How It Measures up to GPT-6
    7. Lifehacker โ€” I Tried Google's New Gemini 4 Argon Model, and Here's How It Measures up to GPT-6
    8. cloud.google.com โ€” Gemini 4 Argon available on Google Cloud | Google Cloud Blog
    9. Business Insider โ€” Google says Gemini 4 Argon is a 'powerhouse' AI model โ€” and it's rolling out now
    10. ai.google.dev โ€” What's new in Gemini 4 Argon | Gemini API | Google AI for ...
    11. blog.google โ€” Gemini 4 Argon: Built to solve your hardest problems
    12. note.com โ€” The 'Next' AI Cyberattacks That 'Changing Passwords Can't Prevent,' and the Capabilities of Gemini 4 Argon
    confidence 100%
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