Gemini 4 Argon Launches for Paying Users, Matching GPT-6 in Key Tests

Google has released its new frontier model, Gemini 4 Argon, to AI Pro and Ultra subscribers. The model ranks first on the Vals Index for economic tasks and offers significant speed improvements for coding and scientific research. While it matches OpenAI's GPT-6 Sol in general capability, independent tests show GPT-6 still leads in creative writing and concise summarization. API access is available at introductory rates until November 30.
Key points
- Gemini 4 Argon is available to AI Pro ($19.99/month) and AI Ultra ($99.99-$199.99/month) users in the Gemini app and Search.
- Advanced coding features in the Antigravity platform are restricted to AI Ultra subscribers due to high compute costs.
- The model ranks #1 on the Vals Index, measuring performance in finance, coding, legal, and tax work.
- API pricing starts at $2 per million input tokens and $10 per million output tokens, doubling after November 30.
- Google reports internal gains, including a 35% increase in agentic code submissions and a 40% reduction in session prep time for its Agent Development Kit.
Background
Google previously delayed the full release of Gemini 4 Argon due to safety concerns, initially limiting access to cybersecurity partners via the Fairwind Program. The model was first teased in late September 2026, with benchmarks suggesting it would close the gap with rivals like OpenAI's GPT-6 and Anthropic's Claude Fable 5.1. This launch follows the release of Gemini 3.1 Pro in February 2026, which had been the previous flagship model.
How outlets are covering it
Lifehacker’s David Nield found that while Gemini 4 Argon and OpenAI’s GPT-6 Sol are now on par overall, each has distinct strengths. In a lighthouse mapping test, Gemini produced a superior app in half the time, leveraging its web search expertise. However, GPT-6 was faster and more effective at summarizing scientific studies and generating nuanced TV show pitches. Ars Technica highlights that Google is restricting advanced coding features to the expensive Ultra tier to manage compute costs, while noting that free users are limited to the smaller Flash-Lite model. Google’s official blog emphasizes the model’s safety features, including upgraded blockers for harmful requests and resistance to prompt injections, alongside its top ranking on the Vals Index.
Why it matters
The launch of Gemini 4 Argon signals that Google has regained parity with OpenAI in the frontier AI race. For businesses and developers, the model offers significant efficiency gains in coding and scientific research, but the tiered access and rising API costs may limit widespread adoption. The competition between Gemini and GPT-6 is now defined by specific task performance rather than overall capability, forcing users to choose based on their primary needs.
What to watch
Google expects to roll out a smaller, cut-down version of Gemini 4 Argon to free and AI Plus ($4.99/month) users in the future. API prices will double to $4 per million input tokens and $20 per million output tokens after November 30. Google has not clarified when or if advanced coding features in Antigravity will become available to lower-tier subscribers.
- I Tried Google's New Gemini 4 Argon Model, and Here's How It Measures up to GPT-6 Lifehacker
- Gemini 4 Argon: Built to solve your hardest problems blog.google
- Gemini 4 Argon for Robotics blog.google
- Gemini 4 Argon begins rolling out in Gemini app and Antigravity, but only if you pay Ars Technica
- Google launches flagship AI model Gemini 4 Argon for developers, businesses Reuters
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