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Claude Opus 4.7 vs Mistral X-Large

Anthropic vs Mistral. 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.

Anthropic

Claude Opus 4.7

Anthropic’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

Mistral

Mistral X-Large

European frontier model. EU-hosted inference, strong European language coverage, Apache-licensed weights.

EU data residencyMultilingual strengthOpen license

Pricing

Input / 1M$15.00$2.00

Output / 1M$75.00$6.00

Context1.0M256K

Max output64K16K

LicenseProprietaryOpen weights

Released2026-03-122026-01-28

Benchmarks

LMSYS ELO1412.01318.0

MMLU Pro92.883.5

HumanEval94.488.0

SWE-Bench72.1—

MATH89.378.2

GPQA66.4—

MMMU79.2—

IFEval92.186.5

Per-task cost

Summarize a 1-hour meeting transcript$0.263$0.033

Review a 500-line pull request$0.270$0.028

Answer a customer support ticket$0.105$0.011

Extract structured data from a resume$0.150$0.016

Debug a stack trace with context$0.240$0.024

Per-call cost using published token counts for each task. Real-world prompts vary.

Tool

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