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Gemini 2.5 Flash vs Mistral X-Large

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

Verdict

Mistral X-Large leads on LMSYS ELO (1318 vs 1312). Gemini 2.5 Flash is ~5.7× cheaper on a 3:1 input:output blend. Mistral X-Large is open-weights, the other is proprietary.

Google DeepMind

Gemini 2.5 Flash

Google’s price/performance darling. 1M context at $0.30/M input — nobody comes close on throughput-per-dollar.

Absurd cost-to-context ratioFast multimodalFree tier via AI Studio

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$0.30$2.00

Output / 1M$1.20$6.00

Context1.0M256K

Max output32K16K

LicenseProprietaryOpen weights

Released2026-02-052026-01-28

Benchmarks

LMSYS ELO1312.01318.0

MMLU Pro82.183.5

HumanEval85.888.0

MATH84.278.2

MMMU74.6—

IFEval86.186.5

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.033

Review a 500-line pull request$0.0048$0.028

Answer a customer support ticket$0.0019$0.011

Extract structured data from a resume$0.0027$0.016

Debug a stack trace with context$0.0042$0.024

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

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