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Mistral X-Large vs Claude Sonnet 4.6

Mistral vs Anthropic. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

Claude Sonnet 4.6 leads on LMSYS ELO (1368 vs 1318). Mistral X-Large is ~2.0× cheaper on a 3:1 input:output blend. Mistral X-Large is open-weights, the other is proprietary.

Mistral

Mistral X-Large

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

EU data residencyMultilingual strengthOpen license

Anthropic

Claude Sonnet 4.6

The workhorse. Near-Opus quality at 1/5 the cost. The default choice for production code and agent workloads.

Excellent cost/quality ratioFast inferenceGreat for Cursor/Claude Code

Pricing

Input / 1M$2.00$3.00

Output / 1M$6.00$15.00

Context256K500K

Max output16K64K

LicenseOpen weightsProprietary

Released2026-01-282025-11-04

Benchmarks

LMSYS ELO1318.01368.0

MMLU Pro83.588.7

HumanEval88.092.1

SWE-Bench—64.5

MATH78.285.0

GPQA—59.4

MMMU—74.1

IFEval86.590.5

Per-task cost

Summarize a 1-hour meeting transcript$0.033$0.052

Review a 500-line pull request$0.028$0.054

Answer a customer support ticket$0.011$0.021

Extract structured data from a resume$0.016$0.030

Debug a stack trace with context$0.024$0.048

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

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