Model comparison
DeepSeek V4 Pro vs Llama 4 Scout
Compare DeepSeek V4 Pro vs Llama 4 Scout API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
DeepSeek V4 Pro
deepseek · deepseek-v4-pro
- Input
- $1.32
- Output
- $3.96
- Context
- 1M
Llama 4 Scout
deepinfra · deepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct
- Input
- $0.1
- Output
- $0.3
- Context
- 327.7K
Quick take
Llama 4 Scout has the lower input price at $0.1 per 1M input tokens. Llama 4 Scout is cheaper for the example blended workload below. DeepSeek V4 Pro has the larger context window at 1M tokens.
Choose DeepSeek V4 Pro if...
- DeepSeek V4 Pro is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- DeepSeek V4 Pro gives more room for long generated answers, reports, or code output.
- DeepSeek V4 Pro 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.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | DeepSeek V4 Pro | Llama 4 Scout | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $2.11 | $0.16 | Llama 4 Scout |
| 10M input + 2M output | $21.12 | $1.60 | Llama 4 Scout |
| 100M input + 20M output | $211.20 | $16.00 | Llama 4 Scout |
Context, output, and capability fit
DeepSeek V4 Pro provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- DeepSeek V4 Pro max output
- 384K
- Llama 4 Scout max output
- 327.7K
- DeepSeek V4 Pro features
- prompt caching, function calling
- Llama 4 Scout features
- function calling
Risk notes for DeepSeek V4 Pro
- No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.
Risk notes for Llama 4 Scout
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierpremiumcodingreasoningagentsopen-weightlong-contextcache-friendlyraglocal-openbudgethigh-volumemultimodal