Google has launched Gemini 4 Argon, a new frontier AI model designed to handle complex tasks across coding, finance, law, cybersecurity and science.
The model is rolling out globally through the Gemini API, AI Studio and Google’s enterprise offerings. Google AI Pro and Ultra subscribers can access it in the Gemini app and AI Mode in Search, while Ultra subscribers also receive access through Google Antigravity.
API access launches at an introductory price of $2 per million input tokens and $10 per million output tokens. Cached inputs receive a 95% discount.
Google said Argon supports a unified input and output limit of one million tokens, allowing it to carry out longer tasks involving large amounts of information and multiple tools.
The release expands Google’s push into AI systems capable of sustained professional work. According to the company, Argon ranks first on the Vals Index, which measures performance across economic sectors including finance, coding, legal and tax work.
Google pointed to internal engineering projects as examples of the model’s capabilities. Over the past few weeks, Argon in Antigravity helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third, the company said.
One project involved restructuring part of Chromium’s roughly 40 million line codebase. Google said Argon helped separate core webpage handling from a large legacy folder, completing work across hundreds of files in weeks rather than months.
The company also used Argon to optimize its Agent Development Kit and Gemma models. In one project, it reported a 2.85 times increase in Gemma inference speed on an Nvidia A100, with identical output tokens and no loss of quality.
Early enterprise users reported improvements in their own evaluations. Box said Argon increased accuracy by 14% compared with Gemini 3.1 Pro on enterprise knowledge tasks.
Financial analysis company Kepler said Gemini 4 matched more than 99% of figures in its analyst built reference models.
Those results reflect evaluations conducted by Google and its early customers.
Beyond software and business workflows, Google highlighted applications in quantum computing, nuclear fusion, rare disease research and enzyme design.
In an enzyme research project, Argon assembled data, tuned models and helped identify five candidate designs within hours. Google said subsequent laboratory testing confirmed catalytic activity across those designs.
The company is offering 10,000 scientists six months of free access to Antigravity’s highest usage tier. Participants will be selected and onboarded on a rolling basis, subject to eligibility and capacity.
Google also described a robotics demonstration in which Argon watched a video of a person playing cornhole, calculated the necessary movements and generated simulation code.
When transferred to Apptronik’s Apollo humanoid, the robot landed seven consecutive shots in a real world trial, according to the company.
The launch includes expanded safeguards against misuse, unauthorized agent actions and malicious instructions embedded in external content. Google said Argon recorded a 0.7% attack success rate on the Gray Swan Indirect Prompt Injection benchmark across 15 adaptive attempts.
Argon is the first release in the Gemini 4 family, with additional models planned.
Disclosure: This article was edited by Estefano Gomez. For more information on how we create and review content, see our Editorial Policy.