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Mistral X-Large vs Claude Haiku 4.5

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

Verdict

Mistral X-Large leads on LMSYS ELO (1318 vs 1305). Claude Haiku 4.5 is ~1.9× 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 Haiku 4.5

Fast, cheap, and smart enough for most routing and extraction tasks. Great base model for subagents.

Sub-second latency10x cheaper than OpusStrong structured output

Pricing

Input / 1M$2.00$0.80

Output / 1M$6.00$4.00

Context256K200K

Max output16K16K

LicenseOpen weightsProprietary

Released2026-01-282025-10-01

Benchmarks

LMSYS ELO1318.01305.0

MMLU Pro83.581.4

HumanEval88.087.0

SWE-Bench—49.2

MATH78.276.8

IFEval86.587.3

Per-task cost

Summarize a 1-hour meeting transcript$0.033$0.014

Review a 500-line pull request$0.028$0.014

Answer a customer support ticket$0.011$0.0056

Extract structured data from a resume$0.016$0.0080

Debug a stack trace with context$0.024$0.013

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

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