Key points
- Gemini 4 Argon is live in the API (AI Studio, Gemini platform), the Gemini app and AI Mode in Search for Pro and Ultra subscribers, and Antigravity for Ultra.
- Introductory API price is $2 per million input tokens and $10 per million output tokens; Ars Technica reports it doubles after November 30.
- Google says Argon ranks #1 on the Vals Index, covering finance, coding, legal and tax work. These are Google's own benchmark claims.
- Google is offering 10,000 scientists free top-tier Antigravity access for 6 months, subject to eligibility, capacity and selection.
Why it matters for marketers: Marketers get a new top-tier Google model in Gemini and AI Mode, but access is gated by plan and API pricing doubles after November 30, so budget accordingly.
Google has launched Gemini 4 Argon, its latest frontier model, after teasing it a few weeks ago and first limiting it to trusted cyber defenders. Developers and enterprises can use it through the API in AI Studio and the Gemini platform. Pro and Ultra subscribers get it in the Gemini app and AI Mode in Search, while Antigravity access is limited to Ultra subscribers.
Google says Argon beats other frontier models on a range of benchmarks and ranks first on the Vals Index. The company also describes better writing: more direct answers, less hedging, fewer repeated phrases and clichés, and closer adherence to style instructions. One example in the Gemini app has Argon turn a folder of project context into a client proposal deck, email it, and set up a scheduled workflow for future requests.
For marketing and content teams, the practical questions are access and cost. The Verge reports it is unclear whether Plus or free users will ever get Argon, and Ars Technica says Google declined to clarify when Antigravity might open to other tiers. Ars also reports the API rate of $2 and $10 per million tokens runs only through November 30, after which it becomes $4 and $20. The Verge notes that lower per-token prices do not always mean lower real costs, since models use different token counts for the same task.
Teams planning content or agent workflows on Argon should test output quality and token use against their current model before committing, and build the higher post-November pricing into any estimates. Google says it is keeping Gemini 3.1 Pro available for now, per Ars Technica.
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
