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Qwen 3 Max vs Llama 4 Behemoth
Qwen vs Meta. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Llama 4 Behemoth leads on LMSYS ELO (1342 vs 1295). Qwen 3 Max is ~1.4× cheaper on a 3:1 input:output blend.
Qwen
Qwen 3 MaxAlibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.
MultilingualOpen weightsCompetitive coding
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$1.60$2.50
Output / 1M$6.40$8.00
Context128K256K
Max output16K16K
LicenseOpen weightsOpen weights
Released2025-11-202025-12-10
Benchmarks
LMSYS ELO1295.01342.0
MMLU Pro84.087.1
HumanEval87.289.3
SWE-Bench—52.4
MATH85.181.5
GPQA—56.2
MMMU71.8—
IFEval85.588.0
Per-task cost
Summarize a 1-hour meeting transcript$0.027$0.041
Review a 500-line pull request$0.026$0.036
Answer a customer support ticket$0.0099$0.014
Extract structured data from a resume$0.014$0.021
Debug a stack trace with context$0.022$0.031
Per-call cost using published token counts for each task. Real-world prompts vary.