In the news
Gemini 4 Argon: Built to solve your hardest problems
Google AI · {"$":{"xmlns:author":"http://www.w3.org/2005/Atom"},"name":["Koray Kavukcuoglu"],"title":["SVP, Google DeepMind and Chief AI Architect, Google"],"department":[""],"company":[""]} · Published · 3 min read
In 30 seconds
- What happened
- Google released Gemini 4 Argon, a frontier AI model available via API and consumer apps, priced at $2 per million input tokens and $10 per million output tokens.
- Why it matters
- Developers and enterprises tackling complex coding, finance, legal, cybersecurity, and science tasks should evaluate Argon for multi-step problem solving and domain-specific work.
- Watch out
- Argon's real-world performance depends on specific use cases and domains. Introductory pricing may change. Actual results vary from published benchmarks and case studies.
- gemini
Who else ran this
- Gemini 4 Argon for Robotics- Google Developers BlogGoogle Developers
- Optimizing a 200,000-line Python codebase overnight with Gemini 4 Argon- Google Developers BlogGoogle Developers
- Gemini 4 Argon: Built to solve your hardest problemsGoogle DeepMind
- Gemini 4 Argon for RoboticsGoogle DeepMind
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