Key points
- Gemini 4 Argon is live in the Gemini app for AI Pro and Ultra subscribers, and in Antigravity and AI Studio for Ultra only, per Ars Technica.
- Intro API pricing is $2 per million input tokens and $10 per million output, with cached input 95% cheaper; rates double after November 30, per Ars Technica.
- Google says Argon ranks first on the Vals Index; The Decoder notes it still trails Claude Opus 5.5 in independent overall rankings.
- Free and Plus users get only Flash models under a new tier structure, according to The Decoder.
Why it matters for marketers: Argon's low introductory token price makes it worth testing for content and agent workflows now, but access is tiered and the price doubles after November 30, so budget accordingly.
Google has begun rolling out Gemini 4 Argon, its new frontier model, to developers, enterprises and paying consumers. Developers can use it through the API in AI Studio and the Gemini platform. In the Gemini app and AI Mode in Search it is open to AI Pro and Ultra subscribers, while Antigravity access is limited to Ultra. Google says Argon leads the Vals Index, which covers sectors like finance, coding, legal and tax work.
Access is uneven. According to The Decoder, free and Plus users now get only Flash models, and Argon replaces the Pro class as Google's top series. Ars Technica reports Google has not said when Argon will reach other Antigravity tiers. The Verge notes it is also unclear whether Plus or free users will get it.
For teams planning workflows, price matters most. The API rate is introductory: Ars Technica reports it moves to $4 per million input tokens and $20 per million output after November 30. The Verge adds that per-token cost does not always match real cost, since models can use different token counts for the same task.
Many of the performance claims are Google's own. The Decoder labels the internal engineering figures self-reported, including a 35% rise in agent-driven code submissions. It also says Argon trails Claude Opus 5.5 in independent overall rankings and arrives a day after Meta's Muse Wonder Full.
Marketing and content teams should test Argon on real tasks such as document analysis, drafting and agent workflows, and measure total token use before committing. Watch for more Gemini 4 models, which Google says will follow, and for any change to tier access.
Sources
This brief is our own summary. Read the full reporting at the source.
- Google DeepMind: Gemini 4 Argon: Built to solve your hardest problems
- The Verge: Google finally releases Gemini 4 Argon
- Ars Technica: Gemini 4 Argon begins rolling out in Gemini app and Antigravity, but only if you pay
- The Decoder: Gemini 4 Argon is now available worldwide as Google's most capable frontier model
- Latent Space: [AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
- MarkTechPost: Google Releases Gemini 4 Argon API With 1M Token Output Limit
