Google Releases Gemini 4 Argon To Pro And Ultra Subscribers
Google's own disclosure of internal use cases, including a Chrome codebase refactor and a robotics simulation pipeline, is the concrete follow-through that benchmark parity with Claude Fable 5.1 and GPT-6 Astra could not show on its own.
Key Facts
- Google began general availability of Gemini 4 Argon on October 13, 2026.
- Gemini 4 Argon is available to Google AI Pro and Google AI Ultra subscribers in the Gemini app and AI Mode in Google Search.
- Artificial Analysis scored Gemini 4 Argon 53 on its Intelligence Index v4.3.2, on par with Anthropic's Claude Fable 5.1 and OpenAI's GPT-6 Astra.
- API pricing for Gemini 4 Argon is $4 per million input tokens and $20 per million output tokens, halved to $2 and $10 through November 30, 2026.
- Google says integration partners for Gemini 4 Argon now number more than 40.
Reporting from 2 sources: ASCII.jp, GIGAZINE.
Google opened general availability of its Gemini 4 Argon AI model on October 13, 2026. The model, announced on September 30, 2026, had been limited to a small set of users including trusted cybersecurity personnel before this release. It is now available to Google AI Pro and Google AI Ultra subscribers through the Gemini app and AI Mode in Google Search, and an API is offered to developers. Google says the model is built for multi-step coding and research and for work in finance, law, cybersecurity, and science, with the ability to read large volumes of documents and code. The third-party organization Artificial Analysis scored Gemini 4 Argon 53 on its Intelligence Index v4.3.2, a value on par with Anthropic's Claude Fable 5.1 and OpenAI's GPT-6 Astra. ASCII.jp notes that strong benchmark scores do not guarantee the model can do real work.
Google's internal teams had already put the model to work before general availability. A refactor of 6 million lines of web page processing code in the Chrome codebase cut crashes and finished in a few weeks instead of several months. A robotics pipeline that takes a video of a desired motion as input, builds a simulation, and deploys it to a machine reduced work that once took weeks to a few hours.
CEO Sundar Pichai posted his own example: a Google Pixel CAD file fed into Google Antigravity and run through Blender MCP with Gemini 4 Argon to produce an animation. Another demo fed more than 80,000 Mars weather logs and Ingenuity logs into the model to build slides of Mars observation results.
The model took the top spot on the Vals Index, which measures performance in business domains, according to Google. Box tested it and reported higher performance than Gemini 3.1 Pro across data analysis, life sciences, healthcare, legal, and media and entertainment. Developer API pricing is $2 per million tokens for input, $10 for output, and $0.20 for cached input during an introductory period through November 30, rising to $4, $20, and $0.20 after that.
Synthesized by Yomimono from the 2 cited sources below, including Japanese-language reporting where cited, then editorially reviewed before publishing.