Mistral Large 3 vs DeepSeek V4 Pro
Side-by-side comparison across metrics, pricing, and overall score — every value traced to a source.
Verdict: DeepSeek V4 Pro ranks highest overall (#4) with a score of 51.8.
The best choice still depends on which metrics matter for your workload — per-metric winners are marked below.
What the numbers hide
Computed from the published values below — no estimates, no generated claims.
What nobody reports
Cache Read Price (1 of 2 missing) · SWE-Bench Pro Score (1 of 2 missing) — the questions worth asking vendors directly.
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| Metric | Mistral Large 3Mistral | DeepSeek V4 ProDeepSeek |
|---|---|---|
| Overall OptiSift Score | 21.7#15 | 51.8#4 |
| Input Price | $0.5 | $0.44 |
| Output Price | $1.5 | $0.87 |
| Cache Read Price | — | $0 |
| Context Window | 262K | 1M |
| Max Output Tokens | 262K | 384K |
| SWE-Bench Pro Score | — | 18% |
| Tool Calling | Yes | Yes |
| Extended Reasoning | No | Yes |
About these models
#15Mistral Large 3
Mistral
Mistral Large 3 is Mistral's general-purpose model: $0.50/$1.50 per 1M input/output tokens, 262K token context window.
#4DeepSeek V4 Pro
DeepSeek
DeepSeek V4 Pro is DeepSeek's reasoning-capable model: $0.43/$0.87 per 1M input/output tokens, 1M token context window, 18% on SWE-Bench Pro.