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Mistral X-Large vs Claude Opus 4.7
Mistral vs Anthropic. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1318). Mistral X-Large is ~10.0× 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
Anthropic
Claude Opus 4.7Anthropic’s frontier reasoning model. Leads SWE-Bench and holds top ranks on long-context coding and agentic workflows.
Best-in-class coding agent behaviorStrong instruction following1M-token context with high recallHigh reliability under tool use
Pricing
Input / 1M$2.00$15.00
Output / 1M$6.00$75.00
Context256K1.0M
Max output16K64K
LicenseOpen weightsProprietary
Released2026-01-282026-03-12
Benchmarks
LMSYS ELO1318.01412.0
MMLU Pro83.592.8
HumanEval88.094.4
SWE-Bench—72.1
MATH78.289.3
GPQA—66.4
MMMU—79.2
IFEval86.592.1
Per-task cost
Summarize a 1-hour meeting transcript$0.033$0.263
Review a 500-line pull request$0.028$0.270
Answer a customer support ticket$0.011$0.105
Extract structured data from a resume$0.016$0.150
Debug a stack trace with context$0.024$0.240
Per-call cost using published token counts for each task. Real-world prompts vary.