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Llama 4 Behemoth vs o4

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

Verdict

Llama 4 Behemoth is ~6.8× cheaper on a 3:1 input:output blend. Llama 4 Behemoth is open-weights, the other is proprietary.

Meta

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

Best open-weights modelRuns anywhereTransparent training

OpenAI

Deep-reasoning model. Spends more tokens thinking to crush math, science, and hard coding problems.

State-of-the-art math and scienceExtremely high-ceiling reasoning

Pricing

Input / 1M$2.50$15.00

Output / 1M$8.00$60.00

Context256K200K

Max output16K100K

LicenseOpen weightsProprietary

Released2025-12-102026-02-18

Benchmarks

LMSYS ELO1342.0—

MMLU Pro87.193.8

HumanEval89.392.3

SWE-Bench52.468.0

MATH81.596.2

GPQA56.282.5

IFEval88.0—

Per-task cost

Summarize a 1-hour meeting transcript$0.041$0.255

Review a 500-line pull request$0.036$0.240

Answer a customer support ticket$0.014$0.093

Extract structured data from a resume$0.021$0.135

Debug a stack trace with context$0.031$0.210

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

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