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Mistral X-Large vs GPT-5 Turbo
Mistral vs OpenAI. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
GPT-5 Turbo leads on LMSYS ELO (1398 vs 1318). Mistral X-Large is ~3.5× cheaper on a 3:1 input:output blend. Mistral X-Large is open-weights, the other is proprietary.
Mistral
Mistral X-LargeEuropean frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.
EU data residencyMultilingual strengthOpen license
OpenAI
GPT-5 TurboOpenAI’s flagship unified model. Handles text, vision, and audio natively. The generalist benchmark champion.
Native multimodalStrong math and scienceHuge ecosystem
Pricing
Input / 1M$2.00$6.00
Output / 1M$6.00$24.00
Context256K400K
Max output16K32K
LicenseOpen weightsProprietary
Released2026-01-282026-01-21
Benchmarks
LMSYS ELO1318.01398.0
MMLU Pro83.591.2
HumanEval88.093.0
SWE-Bench—65.8
MATH78.291.5
GPQA—68.1
MMMU—78.8
IFEval86.588.9
Per-task cost
Summarize a 1-hour meeting transcript$0.033$0.102
Review a 500-line pull request$0.028$0.096
Answer a customer support ticket$0.011$0.037
Extract structured data from a resume$0.016$0.054
Debug a stack trace with context$0.024$0.084
Per-call cost using published token counts for each task. Real-world prompts vary.