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Qwen 3 Max vs Mistral X-Large
Qwen vs Mistral. 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.
Qwen
Qwen 3 MaxAlibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.
MultilingualOpen weightsCompetitive coding
Mistral
Mistral X-LargeEuropean frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.
EU data residencyMultilingual strengthOpen license
Pricing
Input / 1M$1.60$2.00
Output / 1M$6.40$6.00
Context128K256K
Max output16K16K
LicenseOpen weightsOpen weights
Released2025-11-202026-01-28
Benchmarks
LMSYS ELO1295.01318.0
MMLU Pro84.083.5
HumanEval87.288.0
MATH85.178.2
MMMU71.8—
IFEval85.586.5
Per-task cost
Summarize a 1-hour meeting transcript$0.027$0.033
Review a 500-line pull request$0.026$0.028
Answer a customer support ticket$0.0099$0.011
Extract structured data from a resume$0.014$0.016
Debug a stack trace with context$0.022$0.024
Per-call cost using published token counts for each task. Real-world prompts vary.