Google releases Gemini 4 Argon broadly

Google DeepMind has launched Gemini 4 Argon, a frontier model it describes as built for "deep work" on complex, multi-step tasks in coding, finance, law, cybersecurity and science.

Developers and enterprises can use the model now through the API in AI Studio and the Gemini platform. Google AI Ultra subscribers can also use it in Google Antigravity, and both Ultra and Pro subscribers get it in the Gemini app and in AI Mode in Search. The introductory price is $2 per million input tokens and $10 per million output tokens, and cached input tokens are 95% cheaper.

Google says Argon ranks #1 on the Vals Index, which measures model performance on finance, coding, legal and tax work.

The company also listed several internal results:

• Engineering at Google: teams using Argon in Antigravity increased agentic code submissions by more than 35% and cut code rollbacks by nearly a third.
• Chrome: Argon helped separate core webpage handling from a legacy folder of roughly 6 million lines inside Chromium's 40-million-line codebase. Google says this finished months of work in weeks.
• Agent Development Kit: after running autonomously overnight, Argon found changes that cut in-memory session prep time by 40% in long sessions and made cold imports 21% faster.
• Scientific and model code: xTB, a quantum chemistry package, ran up to 2.3x faster. Gemma 4 E2B on vLLM ran 2.85x faster on an A100, with output tokens unchanged.

Google is also opening its Fairwind security program to hundreds more partners. Wiz is already using Argon for its free "Scan for Good" initiative to protect critical infrastructure.

These results come from Google and were not independently verified. The source text provided was cut off partway through, so it does not contain the full benchmark tables or details of the security work.