Context
1.0M tokens (~524 books)
Input $/1M
$1.00
Output $/1M
$5.00
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
No benchmark data available yet.
Model Family · Google DeepMind Gemini 4
Recently Happened
New model: Gemini 4 Argon (batch) by Google DeepMind
Oct 15, 2026
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BenchGecko API
gemini-4-argon-batch
Specifications
- Typemultimodal
- Context1.0M tokens (~524 books)
- ReleasedOct 2026
- LicenseProprietary
- StatusActive
- Cost / Message~$0.007
Available On
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Frequently Asked Questions
Gemini 4 Argon (batch) is a proprietary multimodal AI model by Google DeepMind, released in October 2026. Context window: 1M tokens.
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Key facts · as of 2026-10-15
- Gemini 4 Argon (batch) by Google DeepMind. Not enough public benchmark scores to rank yet.
- List price $1.00 input · $5.00 output per 1M tokens (as of 2026-10-15).
- Sold by 1 provider (as of 2026-10-15): Google $1.00 in / $5.00 out.
How to cite · data as of 2026-10-15
Gemini 4 Argon (batch) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-15. https://benchgecko.ai/model/gemini-4-argon-batch
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP