AI News/AI News

Google rolls out Gemini 4 Argon, with access gated by plan

Google's new frontier model reaches paid Gemini users and API developers today, with a promotional price that ends November 30.

Key points

  • Gemini 4 Argon is live in the Gemini app and AI Mode in Search for Pro and Ultra subscribers, and in Antigravity for Ultra only.
  • API pricing is an introductory $2 input and $10 output per million tokens, rising to $4 and $20 after November 30, per Ars Technica.
  • Google says Argon ranks first on the Vals Index and beats rival frontier models on its published benchmarks.
  • Google has not said whether Plus or free users, or lower-tier Antigravity subscribers, will get access.

Why it matters for marketers: Teams planning content or agent workflows on Argon should budget for the post-November price jump and check which subscription tier their tools need first.

Google has begun rolling out Gemini 4 Argon, its newest frontier model, after teasing it a few weeks ago and first limiting it to trusted cyber defenders. Developers and enterprises can reach it through the API in AI Studio and the Gemini platform. Consumers get it in the Gemini app and AI Mode in Search if they pay for Pro or Ultra.

Access is uneven. Per Ars Technica, Antigravity and AI Studio are limited to AI Ultra, and Google has declined to say when other tiers might get Argon. The Verge reports it is unclear whether Plus or free users will ever see it. Pro subscribers can still generate code through Canvas in the Gemini app.

Google says Argon leads the Vals Index, which covers finance, coding, legal and tax work, and that it also beats rival models on its own published benchmarks. Those are the company's claims, and independent testing has yet to confirm them. Google also cites internal results, including a reported drop in server load for YouTube comments and bug fixes in a drone simulator.

For marketers, the practical issue is cost and access. Ars Technica says the introductory API rate doubles after November 30. The Verge notes that cheaper per-token pricing does not guarantee lower bills, because models consume different numbers of tokens on the same job. Agencies and content teams should test Argon on real workflows, measure token use, and check which plan their tools require before committing.

Sources

This brief is our own summary. Read the full reporting at the source.

You read about AI automation. We run it.

DocFluence, built by Z Media, writes, designs, films and publishes for your brand every day, in your voice, from one login.