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Google's Argon AI Now Open to All Developers at $2 per Million Tokens

Google's Argon AI Opens to Global Developers

Google announced Tuesday that its flagship AI model, Argon, is now available to developers and enterprise customers worldwide. Previously, access was limited to a select group of cybersecurity professionals through Google's Fairwind program. This phased rollout reflects Google's careful balancing act between security assessments and commercial expansion—a sign of the times when releasing cutting-edge AI.

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Pricing and Availability

Argon is now accessible via the Google AI Studio API, as well as through Google AI Ultra and Pro subscription services in the Gemini App, and the intelligent agent development platform Antigravity. The pricing? $2 per million input tokens and $10 per million output tokens. But hold on—those prices double starting in December.

Even after the hike, Argon remains cheaper than OpenAI's GPT-6 Astra, which costs $10 per million input tokens and $50 per million output tokens. However, not everyone is convinced. Reports suggest some Google employees still have reservations about Argon's performance in areas like coding.

From Code to Robots

Koray Kavukcuoglu, head of Google DeepMind, begs to differ. He says internal software engineers have used Argon to ship high-quality code faster, and the model has even been used to optimize Chrome's user experience. Google hopes to prove the model's worth in real engineering tasks.

Kavukcuoglu also highlights Argon's combination of multimodal reasoning, agent coding, and physical understanding—capabilities that could push embodied robotics research forward. In one demo, researchers reconstructed the scene layout and motion trajectory from videos of humans throwing sandbags, then passed the computational results to a humanoid robot. The robot went on to hit the target seven times in a row in a real environment.

Key Points

  • Global access: Argon is now available to all developers and enterprises via Google AI Studio API, Gemini App subscriptions, and Antigravity.
  • Competitive pricing: At $2 per million input tokens, it undercuts OpenAI's GPT-6 Astra, though prices double in December.
  • Real-world impact: Google engineers use Argon for coding and Chrome optimization; robotics demos show promise for embodied AI.
  • Skepticism remains: Some internal doubts about coding performance persist, but Google is confident in Argon's versatility.