Gemini 4 Argon: Google's new frontier model launches with GA API access
What is it?
Gemini 4 Argon (gemini-4-argon) is the first model in Google's Gemini 4 generation. Google built it for long, multi-step work in coding, finance, law, security and science. It handles up to 1M tokens of input and output combined, and the API gets a new continuation protocol for stitching long tasks together. Developers can use it on the paid Gemini API tier and in AI Studio. Ultra subscribers also get it in Antigravity, Google's coding-agent tool, and Pro and Ultra subscribers get it in the Gemini app and AI Mode in Search.
Why does it matter?
At $2 per million input tokens and $10 per million output (cached input is 95% off), it's cheap for a top-tier model. Google claims first place on the Vals Index of professional tasksVendor claim and says indirect prompt injection, where hidden text in a web page or email hijacks an agent, succeeds only 0.7% of the timeVendor claim. Artificial Analysis has it at 53, 8th of 216Independent, so it doesn't lead overall. It also showed up in GitHub Copilot the same day, which makes it easy to test against whatever you use now.
Maturity
GAThe API is GA, but Google calls the price introductory, and it may go up. If your app depends on long outputs, read the migration notes for the continuation protocol before you switch. In Antigravity, only Ultra subscribers get it.
How to track it
- When the introductory price ends: check the Gemini API release notes and pricing page weekly.
- The rest of the Gemini 4 family (smaller, cheaper models): watch the Google blog and Logan Kilpatrick on X.
- Independent numbers: revisit the Artificial Analysis model page for the still-missing speed figure and any rank change.