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Mistral X-Large vs DeepSeek R2

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

Verdict

DeepSeek R2 is ~3.1× cheaper on a 3:1 input:output blend.

Mistral

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

EU data residencyMultilingual strengthOpen license

DeepSeek

DeepSeek’s reasoning variant. Competes with o4 on math at a fraction of the cost.

Frontier math at open-weights pricingLong CoT traces

Pricing

Input / 1M$2.00$0.55

Output / 1M$6.00$2.19

Context256K128K

Max output16K64K

LicenseOpen weightsOpen weights

Released2026-01-282026-01-15

Benchmarks

LMSYS ELO1318.0—

MMLU Pro83.587.8

HumanEval88.090.1

MATH78.294.1

GPQA—71.2

IFEval86.5—

Per-task cost

Summarize a 1-hour meeting transcript$0.033$0.0093

Review a 500-line pull request$0.028$0.0088

Answer a customer support ticket$0.011$0.0034

Extract structured data from a resume$0.016$0.0049

Debug a stack trace with context$0.024$0.0077

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

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