Compare

Llama 4 Scout vs Mistral X-Large

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

Verdict

Mistral X-Large leads on LMSYS ELO (1318 vs 1265). Llama 4 Scout is ~6.5× cheaper on a 3:1 input:output blend.

Meta

The 70B workhorse open-weight. Fits on a single H100, beloved by self-hosters.

Single-GPU deployableDirt cheap on aggregatorsStrong fine-tuning base

Mistral

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

EU data residencyMultilingual strengthOpen license

Pricing

Input / 1M$0.35$2.00

Output / 1M$0.80$6.00

Context128K256K

Max output8K16K

LicenseOpen weightsOpen weights

Released2025-12-102026-01-28

Benchmarks

LMSYS ELO1265.01318.0

MMLU Pro77.283.5

HumanEval82.488.0

MATH72.578.2

IFEval84.186.5

Per-task cost

Summarize a 1-hour meeting transcript$0.0057$0.033

Review a 500-line pull request$0.0044$0.028

Answer a customer support ticket$0.0017$0.011

Extract structured data from a resume$0.0026$0.016

Debug a stack trace with context$0.0037$0.024

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

Add up to four models, tweak tasks live.