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Mistral X-Large vs Qwen 3 Max

Mistral vs Qwen. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

Mistral X-Large leads on LMSYS ELO (1318 vs 1295). Qwen 3 Max is ~1.1× cheaper on a 3:1 input:output blend.

Mistral

European frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.

EU data residencyMultilingual strengthOpen license

Qwen

Alibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.

MultilingualOpen weightsCompetitive coding

Pricing

Input / 1M$2.00$1.60

Output / 1M$6.00$6.40

Context256K128K

Max output16K16K

LicenseOpen weightsOpen weights

Released2026-01-282025-11-20

Benchmarks

LMSYS ELO1318.01295.0

MMLU Pro83.584.0

HumanEval88.087.2

MATH78.285.1

MMMU—71.8

IFEval86.585.5

Per-task cost

Summarize a 1-hour meeting transcript$0.033$0.027

Review a 500-line pull request$0.028$0.026

Answer a customer support ticket$0.011$0.0099

Extract structured data from a resume$0.016$0.014

Debug a stack trace with context$0.024$0.022

Per-call cost using published token counts for each task. Real-world prompts vary.

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