DeepSeek-V4 Pro vs Mistral Large 3

Head-to-head technical comparison of intelligence, capabilities, and API pricing.

DeepSeek-V4 Pro
DeepSeek
AI Mastery Index91.8
LMSYS Arena1449
Technical (MMLU-Pro)91.8%
Cost per 1M Tokens$0.435
Mistral Large 3
Mistral
AI Mastery Index89.2
LMSYS Arena1430
Technical (MMLU-Pro)89.2%
Cost per 1M Tokens$0.5

Which should you use?

DeepSeek-V4 Pro leads on the composite index by 2.6 points (91.8 vs 89.2).

Pick DeepSeek-V4 Pro when

  • Higher composite index — 91.8 against 89.2, a gap of 2.6 points.
  • Ahead on Arena Elo by 19 points (1449 vs 1430), which is outside the board's published confidence intervals.
  • Stronger on MMLU-Pro: 91.8% against 89.2%.
  • Cheaper input tokens — $0.435 against $0.5 per 1M, so Mistral Large 3 costs 1.1x as much to feed.
  • Better value per point of measured capability: $0.005 per index point against $0.006.

Pick Mistral Large 3 when

On these measures Mistral Large 3 does not lead DeepSeek-V4 Pro anywhere, so pick it only for reasons outside this table — an existing integration, a region, or a contract.

Value per point of measured capability, at list input pricing: DeepSeek-V4 Pro $0.005 · Mistral Large 3 $0.006 per index point. Run your own token mix through the token cost calculator — a comparison at list price ignores caching and batch discounts, which move real bills more than this gap does.

Our reporting on DeepSeek and Mistral