Key points
- Argon is available now via API in AI Studio, and in the Gemini app and AI Mode for Pro and Ultra subscribers; Antigravity access is Ultra only.
- Intro API rates are $2 for input and $10 for output per million tokens; Ars Technica reports they double after November 30.
- Google says Argon ranks first on the Vals Index, which covers finance, coding, legal and tax work.
- Google is offering 10,000 scientists a free six-month top usage tier in Antigravity, with applications open.
Why it matters for marketers: Marketing teams can test a cheaper frontier model now, but the intro pricing ends November 30, so any workflow built on it needs a budget for the higher rate.
Google has released Gemini 4 Argon, its latest frontier model, after teasing it a few weeks ago. It is available worldwide through the API in AI Studio, and in the Gemini app and AI Mode in Search for Pro and Ultra subscribers. Antigravity, Google's agentic development platform, is limited to Ultra subscribers. The Verge reports it is unclear whether Plus or free users will get access.
Google says Argon leads other frontier models on several benchmarks and ranks first on the Vals Index, which tracks work in finance, coding, legal and tax. It also says the model hedges less, repeats itself less and follows style instructions better than earlier Gemini versions. These are Google's own claims, and The Verge notes that the company is positioning Argon against rival models from OpenAI and Anthropic.
For marketers and content teams, the most practical detail is cost. Developers get a low introductory API rate, with a steep discount on cached input. Ars Technica reports that the rate doubles on November 30. The Verge adds that per-token price does not always predict real spend, since models can use different amounts of tokens for the same job.
Google also showed a client workflow in the Gemini app: Argon turned a folder of project material into a proposal deck, emailed it, and set up a scheduled task for future requests. Teams that produce client decks or reports may want to test that kind of flow.
Next, watch whether Google widens Antigravity access, which Ars Technica says the company has declined to clarify. Before committing to Argon, compare its output quality and token use on your own tasks, and price your plan at the post-November rate.
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
