Model comparison
DeepSeek V3.2 vs Llama 4 Scout
Compare DeepSeek V3.2 vs Llama 4 Scout API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
DeepSeek V3.2
deepseek · deepseek/deepseek-v3.2
- Input
- $0.28
- Output
- $0.4
- Context
- 163.8K
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 DeepSeek V3.2 if...
- DeepSeek V3.2 is stronger when the same large prompt or document is reused because it supports prompt caching.
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 | DeepSeek V3.2 | Llama 4 Scout | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $0.36 | $0.14 | Llama 4 Scout |
| 10M input + 2M output | $3.60 | $1.40 | Llama 4 Scout |
| 100M input + 20M output | $36.00 | $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.
- DeepSeek V3.2 max output
- 163.8K
- Llama 4 Scout max output
- 327.7K
- DeepSeek V3.2 features
- prompt caching, function calling
- Llama 4 Scout features
- function calling
Risk notes for DeepSeek V3.2
- Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.
Risk notes for Llama 4 Scout
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
budgethigh-volumecodingreasoningopen-weightlocal-openmultimodallong-contextrag