Google's Argon AI Opens Worldwide, Starting at $2 per Million Tokens
Google's Argon AI Goes Global: What You Need to Know
Google announced Tuesday that its flagship AI model, Argon, is now available to developers and enterprise customers worldwide. Previously, it was offered only to a select group of cybersecurity professionals through Google's Fairwind program. This phased rollout balances security assessments with commercial promotion, reflecting the importance of risk control when expanding access to cutting-edge models.

Pricing and Availability
Argon is available to paying users through the Google AI Studio API, Google AI Ultra and Pro subscription services in the Gemini App, and the intelligent agent development platform Antigravity. Pricing starts at $2 per million input tokens and $10 per million output tokens. However, prices will double starting in December.
Even after the price increase, Argon remains cheaper than OpenAI's GPT-6Astra, which costs $10 per million input tokens and $50 per million output tokens. But according to reports, some Google employees still have doubts about Argon's performance in areas such as coding.
Real-World Applications and Potential
Koray Kavukcuoglu, head of Google DeepMind, said that internal software engineers have used Argon to deliver high-quality code more quickly, and the model has also been used to optimize the user experience of Chrome. Google hopes to demonstrate the value of the model in real engineering tasks. Kavukcuoglu also said that Argon, combining multimodal reasoning, agent coding, and physical understanding capabilities, has 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, which then hit the target seven times consecutively in a real environment.
Key Points
- Global access: Argon is now available to developers and enterprises worldwide after a limited release.
- Pricing: $2 per million input tokens and $10 per million output tokens, doubling in December.
- Competitive edge: Still cheaper than OpenAI's GPT-6Astra.
- Real-world use: Already used internally for coding and Chrome optimization.
- Future potential: May advance robotics research through multimodal reasoning.
As Argon opens up, the AI community will be watching closely to see if it lives up to the hype—and whether those internal doubts hold any weight.