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Google's Argon AI Opens to All, But Can It Code?

Google's Argon AI Opens to All, But Can It Code?

Google announced Tuesday that its flagship AI model, Argon, is now available to developers and enterprise customers worldwide. Previously, it was only offered to a select group of trusted cybersecurity professionals through Google's Fairwind program. This phased rollout balances security assessments with commercial promotion—a reminder that expanding access to cutting-edge models requires careful risk control.

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Pricing and Availability

Starting now, paying users can access Argon through the Google AI Studio API, 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 don't get too comfortable—prices will 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, according to reports, some Google employees still have doubts about Argon's performance in areas like coding.

Real-World Wins

Koray Kavukcuoglu, head of Google DeepMind, said internal software engineers have used Argon to deliver high-quality code more quickly. The model has also been used to optimize the user experience of Chrome. Google hopes to demonstrate the model's value in real engineering tasks.

Kavukcuoglu added that Argon combines multimodal reasoning, agent coding, and physical understanding capabilities, giving it the potential to advance embodied robotics research.

In one demonstration, researchers reconstructed the scene layout and motion trajectory from videos of humans throwing sandbags and passed the computational results to a humanoid robot. The robot then hit the target seven times consecutively in a real environment.

Key Points

  • Argon is now open to global developers and enterprise customers.
  • Pricing: $2 per million input tokens, $10 per million output tokens, doubling in December.
  • Competitive edge: Cheaper than OpenAI's GPT-6 Astra.
  • Internal skepticism: Some Google employees question Argon's coding performance.
  • Real-world use: Optimizing Chrome and powering robotics research.
  • Robotics demo: Humanoid robot hit target seven times in a row after learning from human sandbag throws.

As Argon rolls out, the AI community will be watching closely. Will it silence the doubters? Only time—and code—will tell.