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GPT-5 Mini vs Mistral X-Large
OpenAI vs Mistral. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Mistral X-Large leads on LMSYS ELO (1318 vs 1288). GPT-5 Mini is ~3.4× cheaper on a 3:1 input:output blend. Mistral X-Large is open-weights, the other is proprietary.
OpenAI
GPT-5 MiniGPT-5’s smaller, cheaper sibling. Optimized for chat and lightweight agent tasks.
Very low latencyCheap enough for mass consumer apps
Mistral
Mistral X-LargeEuropean frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.
EU data residencyMultilingual strengthOpen license
Pricing
Input / 1M$0.50$2.00
Output / 1M$2.00$6.00
Context256K256K
Max output16K16K
LicenseProprietaryOpen weights
Released2026-01-212026-01-28
Benchmarks
LMSYS ELO1288.01318.0
MMLU Pro78.583.5
HumanEval85.588.0
MATH79.878.2
IFEval85.486.5
Per-task cost
Summarize a 1-hour meeting transcript$0.0085$0.033
Review a 500-line pull request$0.0080$0.028
Answer a customer support ticket$0.0031$0.011
Extract structured data from a resume$0.0045$0.016
Debug a stack trace with context$0.0070$0.024
Per-call cost using published token counts for each task. Real-world prompts vary.