Key points
- Argon is live in the Gemini app and AI Mode for Pro and Ultra subscribers; Antigravity and AI Studio access is limited to Ultra, per Ars Technica.
- API rates start at $2 for input and $10 for output per million tokens, then double after November 30, according to Ars Technica.
- Google says Argon ranks first on the Vals Index, which covers finance, coding, legal and tax tasks.
- Plus and free users have no announced date for access, and Google has not said whether they will get it, The Verge reports.
Why it matters for marketers: Marketing teams on lower-tier plans cannot use Argon yet, and anyone building API workflows should plan for the price doubling after November 30.
Google has made Gemini 4 Argon generally available, a few weeks after first previewing it. Developers and enterprises can reach it through the API in AI Studio and the Gemini platform, while consumers get it in the Gemini app and AI Mode in Search if they pay for Pro or Ultra. Google says the model leads the Vals Index, a benchmark covering finance, coding, legal and tax work.
Access is narrower than the headline suggests. Ars Technica reports that Antigravity and AI Studio are limited to Ultra plans, and that Pro subscribers can still generate code through Canvas in the Gemini app. Google has not said when, or whether, other tiers will get Argon in Antigravity. The Verge notes the same uncertainty for Plus and free users.
For marketers, the practical question is cost and fit. The current API rates are an introductory offer, and Ars Technica reports they double on November 30. The Verge points out that cheaper per-token pricing does not always mean a cheaper job, since models can use different numbers of tokens for the same task. Google also describes better style-instruction following and less hedging and repetition, which matters for teams producing copy, though those are the company's own claims.
Google showed a Gemini app demo in which Argon turns a folder of project files into a client proposal deck, emails it, and sets up a scheduled workflow for later requests. Teams that draft proposals or reports could test that kind of task first. Before committing, compare real token usage against your current model, and check which plan your team would need.
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
- Google AI: 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
- Search Engine Journal: Google Adds Gemini 4 Argon To AI Mode For Pro & Ultra Subscribers via @sejournal, @MattGSouthern
- 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
