Google's Argon AI Opens to All, Priced at $2 per Million Tokens
Google's Argon AI Opens to All, Priced at $2 per Million Tokens
Google announced on 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 release balances security assessments with commercial promotion, reflecting the importance of risk control when expanding access to cutting-edge models.

Where to Get It and How Much It Costs
Argon is now accessible 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, come December, those prices will double.
Even after the 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.
Google's Confidence and Real-World Demos
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 availability: Argon is now open 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, but internal doubts about coding performance linger.
- Real-world applications: Used internally for code generation and Chrome optimization; demo shows potential in robotics.
As Google opens Argon to the world, the AI arms race heats up. Will developers embrace it despite the upcoming price hike? Only time will tell.