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Claude Opus 4.7 vs Llama 4 Behemoth
Anthropic vs Meta. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1342). Llama 4 Behemoth is ~7.7× cheaper on a 3:1 input:output blend. Llama 4 Behemoth is open-weights, the other is proprietary.
Anthropic
Claude Opus 4.7Anthropic’s frontier reasoning model. Leads SWE-Bench and holds top ranks on long-context coding and agentic workflows.
Best-in-class coding agent behaviorStrong instruction following1M-token context with high recallHigh reliability under tool use
Meta
Llama 4 BehemothMeta’s open-weights flagship. 405B params, fully open license, runs on every major inference provider.
Best open-weights modelRuns anywhereTransparent training
Pricing
Input / 1M$15.00$2.50
Output / 1M$75.00$8.00
Context1.0M256K
Max output64K16K
LicenseProprietaryOpen weights
Released2026-03-122025-12-10
Benchmarks
LMSYS ELO1412.01342.0
MMLU Pro92.887.1
HumanEval94.489.3
SWE-Bench72.152.4
MATH89.381.5
GPQA66.456.2
MMMU79.2—
IFEval92.188.0
Per-task cost
Summarize a 1-hour meeting transcript$0.263$0.041
Review a 500-line pull request$0.270$0.036
Answer a customer support ticket$0.105$0.014
Extract structured data from a resume$0.150$0.021
Debug a stack trace with context$0.240$0.031
Per-call cost using published token counts for each task. Real-world prompts vary.