Llama 4 (405B) vs Mistral Large 3

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

Llama 4 (405B)
Meta
AI Mastery Index90.5
LMSYS Arena1440
Technical (MMLU-Pro)90.5%
Cost per 1M Tokens$0
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?

Llama 4 (405B) leads on the composite index by 1.3 points (90.5 vs 89.2).

Their Arena Elo differs by only 10 points, inside the confidence intervals the public board reports, so human preference does not separate them.

Only Llama 4 (405B) ships open weights, which decides it outright if the workload has to run on your own hardware.

Pick Llama 4 (405B) when

  • Higher composite index — 90.5 against 89.2, a gap of 1.3 points.
  • Stronger on MMLU-Pro: 90.5% against 89.2%.
  • Open weights, so it is the only one of the two you can run on your own hardware or keep data entirely in-house.

Pick Mistral Large 3 when

On these measures Mistral Large 3 does not lead Llama 4 (405B) anywhere, so pick it only for reasons outside this table — an existing integration, a region, or a contract.

Our reporting on Meta and Mistral