Gemini 4 Argon
Google's frontier model for real-world coding, enterprise knowledge work, and cybersecurity defense
Context window
1M
Input / 1M tokens
$2.00
Output / 1M tokens
$10.00
Provider
Data verified 2026-10-01
Gemini 4 Argon is Google's new frontier model built to sustain deep reasoning across complex, long-horizon workflows. It delivers frontier performance in software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense, with an industry-leading 1 million token output limit.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Currently rolling out to trusted cyber defenders in the Fairwind Program. Broader availability planned for paid API customers and Google AI Ultra subscribers as soon as possible.
Strengths
- ✓Long output context (1M tokens)
- ✓Strong performance on software engineering tasks
- ✓Competitive pricing at launch
- ✓Advanced reasoning capabilities
Best for developers who...
When to choose it (and when not to)
Reach for Gemini 4 Argon when...
- →Projects requiring extended output sequences
- →Deep reasoning on complex workflows
- →Cost-sensitive frontier model needs
Look elsewhere if...
- ✕Tasks not requiring frontier-level reasoning
- ✕When broad public availability is needed (limited access currently)
How to use it
Quickstart
Python# Use via Google's Vertex AI or Gemini API (limited access)
# Early access through Fairwind Program for cyber defendersNot yet broadly available to public API customers
API model id: gemini-4-argon
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| DeepSWE | 77.9% | Software engineering benchmark |
| LVBench | 91.7% | Long video understanding benchmark |
| Vals Index | 68.9% | General AI capability benchmark |
Source: Google Official Blog
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