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Mistral X-Large vs DeepSeek V4

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

Verdict

DeepSeek V4 leads on LMSYS ELO (1334 vs 1318). DeepSeek V4 is ~17.1× 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

The shock-the-market moment of 2026. Frontier coding quality at 1/50th the price of Opus.

Unbeatable $/qualityOpen weightsGreat at code

Pricing

Input / 1M$2.00$0.14

Output / 1M$6.00$0.28

Context256K128K

Max output16K16K

LicenseOpen weightsOpen weights

Released2026-01-282026-02-20

Benchmarks

LMSYS ELO1318.01334.0

MMLU Pro83.585.4

HumanEval88.091.5

SWE-Bench—54.1

MATH78.288.7

IFEval86.585.8

Per-task cost

Summarize a 1-hour meeting transcript$0.033$0.0022

Review a 500-line pull request$0.028$0.0017

Answer a customer support ticket$0.011$0.0006

Extract structured data from a resume$0.016$0.0010

Debug a stack trace with context$0.024$0.0014

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

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