Compare · updated 2026-11-01

DeepSeek V4 Pro vs Mistral Large

DeepSeek V4 Pro is better at quick answers, writing, coding, structured data; Mistral Large is better at reasoning, maths, long documents, translation. DeepSeek V4 Pro is the cheaper of the two on output.

Measured quality by task

Quality is Nivana’s measured score for each kind of task, from weekly pairwise evals judged by models from several labs. Prices are live AI Gateway list prices per million tokens. Updated 2026-11-01. How this is measured.

Price and context

Which should you use?

Use the one that wins the kind of work you do most, unless the price gap outweighs the quality gap for easy requests. Or don’t choose: Nivana scores both, and the rest of the pool, on every request and sends it to whichever is best for that request.

Questions

Is DeepSeek V4 Pro better than Mistral Large?

On Nivana’s weekly evals DeepSeek V4 Pro scores higher on 4 of 8 task types (quick answers, writing, coding, structured data) and Mistral Large on 4 (reasoning, maths, long documents, translation). Neither is better at everything.

Which is better for coding, DeepSeek V4 Pro or Mistral Large?

DeepSeek V4 Pro: 83/100 against 78/100 for Mistral Large on Nivana’s coding evals.

Which is better for writing, DeepSeek V4 Pro or Mistral Large?

DeepSeek V4 Pro: 88/100 against 84/100 for Mistral Large on Nivana’s writing evals.

Which is cheaper, DeepSeek V4 Pro or Mistral Large?

DeepSeek V4 Pro: $1.98 per million output tokens against $2.1 for Mistral Large, about 1.1× less. A typical chat answer costs about $0.0024 on DeepSeek V4 Pro and $0.0025 on Mistral Large.