Compare

Llama 4 Behemoth vs Mistral X-Large

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

Verdict

Llama 4 Behemoth leads on LMSYS ELO (1342 vs 1318). Mistral X-Large is ~1.3× cheaper on a 3:1 input:output blend.

Meta

Meta’s open-weights flagship. 405B params, fully open license, runs on every major inference provider.

Best open-weights modelRuns anywhereTransparent training

Mistral

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

EU data residencyMultilingual strengthOpen license

Pricing

Input / 1M$2.50$2.00

Output / 1M$8.00$6.00

Context256K256K

Max output16K16K

LicenseOpen weightsOpen weights

Released2025-12-102026-01-28

Benchmarks

LMSYS ELO1342.01318.0

MMLU Pro87.183.5

HumanEval89.388.0

SWE-Bench52.4—

MATH81.578.2

GPQA56.2—

IFEval88.086.5

Per-task cost

Summarize a 1-hour meeting transcript$0.041$0.033

Review a 500-line pull request$0.036$0.028

Answer a customer support ticket$0.014$0.011

Extract structured data from a resume$0.021$0.016

Debug a stack trace with context$0.031$0.024

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

Add up to four models, tweak tasks live.