Key points
- Gemini 4 Argon is live in the Gemini app and AI Mode in Search for AI Pro and Ultra subscribers, and in the API via AI Studio.
- Introductory API price is $2 per million input tokens and $10 per million output tokens; Ars Technica reports it doubles after November 30.
- Antigravity access is limited to AI Ultra subscribers. Google has not said when other tiers will get it, per Ars Technica and The Verge.
- Google says Argon ranks #1 on the Vals Index, which covers finance, coding, legal and tax work.
Why it matters for marketers: Teams building content or marketing workflows on Gemini get a cheaper frontier model now, but the price rises after November 30, so cost planning matters before committing.
Google has begun rolling out Gemini 4 Argon, its latest frontier model, after a limited preview to trusted cyber defenders. It is available through the API in AI Studio, in the Gemini app and AI Mode in Search for Pro and Ultra subscribers, and in the Antigravity development platform for Ultra subscribers only.
Google says Argon outperforms other frontier models on benchmarks across coding, finance, legal and science, and ranks first on the Vals Index. These are the company's own claims. It also says internal teams using Argon in Antigravity raised agentic code submissions by more than 35% and cut code rollbacks by nearly a third. Google adds that Argon follows style instructions better than earlier Gemini models and hedges and repeats itself less.
For marketers and content teams, the practical points are access and cost. The Verge reports the launch price is around a fifth of rival frontier models, though it cautions that models use different token counts for the same task, so real costs can differ. Ars Technica reports the rate rises to $4 per million input tokens and $20 per million output tokens after November 30. Free users do not get Argon, and Google has not said whether lower paid tiers will.
Google's own examples include Argon in the Gemini app turning a folder of project context into a client proposal deck, then drafting the email and setting up a scheduled workflow for future requests. That is a useful test for agencies. Before building on Argon, compare output quality and total token use against your current model, and budget for the higher price.
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
