Model comparison

Qwen3 Max vs Llama 4 Scout

Compare Qwen3 Max vs Llama 4 Scout API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

Qwen3 Max

novita · novita/qwen/qwen3-max

Input
$2.11
Output
$8.45
Context
262.1K

Llama 4 Scout

deepinfra · deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct

Input
$0.08
Output
$0.3
Context
327.7K

Quick take

Llama 4 Scout has the lower input price at $0.08 per 1M input tokens. Llama 4 Scout is cheaper for the example blended workload below. Llama 4 Scout has the larger context window at 327.7K tokens.

Choose Qwen3 Max if...

  • Qwen3 Max is a reasonable pick when its provider, latency, or integration path fits your stack better.

Choose Llama 4 Scout if...

  • Llama 4 Scout is the better default for cost-sensitive traffic and repeated high-volume calls.
  • Llama 4 Scout is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • Llama 4 Scout gives more room for long generated answers, reports, or code output.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload Qwen3 Max Llama 4 Scout Cheaper
1M input + 200K output $3.80 $0.14 Llama 4 Scout
10M input + 2M output $38.00 $1.40 Llama 4 Scout
100M input + 20M output $380.00 $14.00 Llama 4 Scout

Context, output, and capability fit

Llama 4 Scout provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

Qwen3 Max max output
65.5K
Llama 4 Scout max output
327.7K
Qwen3 Max features
function calling
Llama 4 Scout features
function calling

Risk notes for Qwen3 Max

  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Risk notes for Llama 4 Scout

  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Routing tags

frontiercodingreasoningagentsopen-weightlocal-openbudgethigh-volumemultimodallong-contextrag

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