Gemini 4 Argon
- Provider
- Modality
- MULTIMODAL
- Parameters
- —
- Context window
- 1,000,000 tokens
- Weights
- Proprietary
- Released
- 13 Oct 2026
Gemini 4 Argon is Google's frontier model, generally available since 13 October 2026 after a first release limited to cyber defenders. Google lists a 1M-token unified input-and-output limit, long decode of up to 1M output tokens, and low, medium and high thinking levels.
Best for
- Very long single outputs — large code migrations, long reports
- Long, multi-step agentic and coding work
- Legal, finance and tax knowledge work (it led the Vals Index, per Google)
- Workloads exposed to prompt injection, where Google reports a 0.7% attack success rate
How it compares — and the India angle
- The price doubles on 30 November 2026: $2/$10 per million becomes $4/$20. Cached input is 95% off either way. Budget at the higher rate.
- It is not on the free tier of the Gemini API — you need the paid tier. In the Gemini app it is for Google AI Pro and Ultra subscribers.
- Against the $10/$50 flagships (GPT-6 Astra, Claude Fable 5.1) it is far cheaper on paper; against Claude Opus 5.5 ($4/$20) it is cheaper only until the promotion ends.
- Google's post does not mention India specifically, but the API is described as globally available.
Benchmarks
Representative public scores (approximate, higher is better) for relative comparison. Check the provider for the latest official results.
How to access
Paid tier only. $2 / 1M input and $10 / 1M output (thinking tokens included) through 30 November 2026, then $4 / $20. Cached input 95% off. Not on the Gemini API free tier. Gemini app: Google AI Pro and Ultra.
Access Gemini 4 ArgonFrequently asked questions
What is Gemini 4 Argon?
Gemini 4 Argon is a multimodal AI model developed by Google.
Who made Gemini 4 Argon?
Gemini 4 Argon was created by Google.
Is Gemini 4 Argon open source?
No, Gemini 4 Argon is a proprietary model with closed weights.
What is Gemini 4 Argon's context window?
Gemini 4 Argon supports a context window of 1,000,000 tokens.