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Google Launches Gemini 4 Argon for Developers and Enterprises
· Confirmed
In Short: Google has launched Gemini 4 Argon, a new AI model designed for complex, multi-step tasks, available to developers and enterprises via API and to subscribers of Google AI Ultra and Pro.
Google today launched Gemini 4 Argon, a new AI model designed to handle complex, multi-step tasks, for developers and enterprises via API and to subscribers of Google AI Ultra and Pro. The model is now globally available, according to a blog post on Google's site.
The model launches today at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens at 95% off, Google announced. These prices will increase to $4 and $20 once the launch window closes, SQ Magazine reported.
With zero external libraries and 100% pure Python, Argon wrote its own 3D ray-tracing engine with a custom video tool and audio mixer to build and document a sunlit library from scratch, producing, narrating, and assembling this video with Gemini 3.8 TTS voiceover and music by Lyria 3.5, Google said.
Argon has helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third, Google reported. Teams at Google, across enterprises, and in the research community have already been using Argon to land significant impact across fields, including at Google where it has been used on the company's hardest engineering problems.
Argon excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science, Google stated. The model has scored 99.7% on GraphWalks, against 98.7% for GPT-6 Astra, 91.4% for Claude Fable 5.1, and 90.6% for Claude Opus 5.5, SQ Magazine reported.
Argon turned pictures of a real desk into a playable miniature racing game using a multi-agent loop in Antigravity, and built a highly detailed model of a Pagoda using multi-agent visual critique loops in Antigravity, Google said. The desk objects, room, and race track were modeled and collision-checked using Blender MCP, textured with Nano Banana, and wired with physics, custom shaders, and car engine audio from Gemini Omni Flash in Three.js.
Google positions Argon for long horizon work where the model has to keep context across a long chain of steps, such as auditing an entire codebase or carrying a migration project through to completion, rather than answering single prompts quickly, Ghacks reported. The company lists these deployments: On the security side, Google says Argon found a severe vulnerability exposing sensitive data in hospital software used worldwide, while working with security firm Wiz through its Scan for Good initiative.
According to Google, Argon is rolling out first to vetted cyber defenders through the company's Fairwind Program, with paid API tiers for developers and Google AI Ultra subscribers next in line. Consumers will need a Google AI Ultra subscription, as cheaper Gemini plans are not part of the announced rollout.
Background
Google has launched Gemini 4 Argon globally for AI Pro and AI Ultra subscribers, featuring an industry-leading 1 million output token limit and top scores on professional benchmarks, according to a blog post on Google's site.
Google has made its latest AI model, Gemini 4 Argon, available to developers and enterprises via API and to subscribers of Google AI Ultra and Pro.
What's confirmed
- Argon in Antigravity has helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third.
- Teams at Google, across enterprises, and in the research community have already been using Argon to land significant impact across fields: At Google, we’ve been using Argon on our hardest engineering problems.
What's still developing
- Its depth and precision across multi-step tasks leads Argon to outperform other frontier models on benchmarks across domains, ranking #1 on the Vals Index, which measures model performance across critical economic sectors like finance, coding, legal, and tax work.
- In September, Google dropped plans to ship Gemini 3.5 Pro, which CEO Sundar Pichai had said would arrive in June.
- The company also overhauled DeepMind after co-founder and CEO Demis Hassabis stepped aside and several Gemini model leaders left.
- The release puts a new flagship at the top of Google’s Gemini AI model lineup.
- Gemini 4 Argon is not currently available to free Gemini users, and Google has not given dates for the later rollout stages.
- Google’s engineering claims are self-reported but specific.
- External bio red teaming unlocked less than 1% of the bio sub-tasks Google tests for, the company said.