Inference Index
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Llama 4 Scout vs Qwen 3 Max

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

Verdict

Qwen 3 Max leads on LMSYS ELO (1295 vs 1265). Llama 4 Scout is ~6.1× cheaper on a 3:1 input:output blend.

Meta
Llama 4 Scout

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

Single-GPU deployableDirt cheap on aggregatorsStrong fine-tuning base
Qwen
Qwen 3 Max

Alibaba’s flagship. Strongest non-English coverage of any open model; dominant in Asian markets.

MultilingualOpen weightsCompetitive coding
Pricing
Input / 1M$0.35$1.60
Output / 1M$0.80$6.40
Context128K128K
Max output8K16K
LicenseOpen weightsOpen weights
Released2025-12-102025-11-20
Benchmarks
LMSYS ELO1265.01295.0
MMLU Pro77.284.0
HumanEval82.487.2
MATH72.585.1
MMMU71.8
IFEval84.185.5
Per-task cost
Summarize a 1-hour meeting transcript$0.0057$0.027
Review a 500-line pull request$0.0044$0.026
Answer a customer support ticket$0.0017$0.0099
Extract structured data from a resume$0.0026$0.014
Debug a stack trace with context$0.0037$0.022

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