Google's Gemini 4 Argon and Mistral AI's Mistral Large 4 compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.
| Specification | Gemini 4 Argon | Mistral Large 4 |
|---|---|---|
| Provider | Mistral AI | |
| API model ID | gemini-4-argon | mistral-large-4-0 |
| Description | Google's flagship Gemini 4 reasoning model for complex software engineering, deep math and science, and autonomous agents, with 1M context. | Mistral AI's open-weight multimodal flagship (52B active / 1.05T total parameters) with reasoning and 1M context. |
| Context window | 1.048576M tokens | 1.048576M tokens |
| Max output tokens | 32,768 | 32,768 |
| Input cost ($/1M tokens) | $2.40 | $0.84 |
| Output cost ($/1M tokens) | $12.00 | $2.52 |
| Cache read cost ($/1M tokens) | $0.12 | $0.08 |
| Latency | high | medium |
| Reasoning model | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Tool use | Yes | Yes |
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