Mistral AI's Mistral Large 4 and DeepSeek's DeepSeek-V4-Pro compared on specs, pricing, and capabilities — as configured in AI Crucible ensembles.
| Specification | Mistral Large 4 | DeepSeek-V4-Pro |
|---|---|---|
| Provider | Mistral AI | DeepSeek |
| API model ID | mistral-large-4-0 | deepseek-v4-pro |
| Description | Mistral AI's open-weight multimodal flagship (52B active / 1.05T total parameters) with reasoning and 1M context. | DeepSeek's most capable V4 model with dual thinking/non-thinking modes and 1M context. |
| Context window | 1.048576M tokens | 1M tokens |
| Max output tokens | 32,768 | 8,192 |
| Input cost ($/1M tokens) | $0.84 | $1.58 |
| Output cost ($/1M tokens) | $2.52 | $4.75 |
| Cache read cost ($/1M tokens) | $0.08 | $0.05 |
| Latency | medium | medium |
| Reasoning model | Yes | Yes |
| Vision (image input) | Yes | No |
| Tool use | Yes | Yes |
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