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GPT-5 Turbo vs Mistral X-Large
OpenAI vs Mistral. 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.
OpenAI
GPT-5 TurboOpenAI’s flagship unified model. Handles text, vision, and audio natively. The generalist benchmark champion.
Native multimodalStrong math and scienceHuge ecosystem
Mistral
Mistral X-LargeEuropean frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.
EU data residencyMultilingual strengthOpen license
Pricing
Input / 1M$6.00$2.00
Output / 1M$24.00$6.00
Context400K256K
Max output32K16K
LicenseProprietaryOpen weights
Released2026-01-212026-01-28
Benchmarks
LMSYS ELO1398.01318.0
MMLU Pro91.283.5
HumanEval93.088.0
SWE-Bench65.8—
MATH91.578.2
GPQA68.1—
MMMU78.8—
IFEval88.986.5
Per-task cost
Summarize a 1-hour meeting transcript$0.102$0.033
Review a 500-line pull request$0.096$0.028
Answer a customer support ticket$0.037$0.011
Extract structured data from a resume$0.054$0.016
Debug a stack trace with context$0.084$0.024
Per-call cost using published token counts for each task. Real-world prompts vary.