DeepSeek V4-Flash (DeepInfra) vs Llama 4 Scout (DeepInfra)
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | DeepSeek V4-Flash (DeepInfra) | Llama 4 Scout (DeepInfra) |
|---|---|---|
| Provider | DeepInfra | DeepInfra |
| Input Price (1M) | $0.09 | $0.10 |
| Output Price (1M) | $0.18 | $0.30 |
| Context Window | 1,000,000 | 10,000,000 |
Verdict
DeepSeek V4-Flash (DeepInfra) costs $0.09 per 1M input tokens and $0.18 per 1M output tokens. Llama 4 Scout (DeepInfra) costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. DeepSeek V4-Flash (DeepInfra) is 10% cheaper on input tokens than Llama 4 Scout (DeepInfra). For output tokens, DeepSeek V4-Flash (DeepInfra) is the more affordable option at $0.18/1M vs $0.30.
On context window, Llama 4 Scout (DeepInfra) supports 10,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose DeepSeek V4-Flash (DeepInfra)
- ✓ You need the lowest input token cost ($ 0.09/1M)
- ✓ Your workload is output-heavy — DeepSeek V4-Flash (DeepInfra) generates text cheaper
- ✓ You are already integrated with DeepInfra
When to choose Llama 4 Scout (DeepInfra)
- ✓ You need a larger context window (10,000,000 tokens)
- ✓ You are already integrated with DeepInfra
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is DeepSeek V4-Flash (DeepInfra) cheaper than Llama 4 Scout (DeepInfra)? ▼
DeepSeek V4-Flash (DeepInfra) is cheaper on input tokens at $0.09/1M vs $0.10/1M for Llama 4 Scout (DeepInfra) — a 10% saving.
What is the context window of DeepSeek V4-Flash (DeepInfra) vs Llama 4 Scout (DeepInfra)? ▼
DeepSeek V4-Flash (DeepInfra) has a 1,000,000-token context window. Llama 4 Scout (DeepInfra) has a 10,000,000-token context window. Llama 4 Scout (DeepInfra) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: DeepSeek V4-Flash (DeepInfra) or Llama 4 Scout (DeepInfra)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, DeepSeek V4-Flash (DeepInfra) is the cheaper option. For maximum context length, Llama 4 Scout (DeepInfra) supports 10,000,000 tokens. Use the comparison table above to find the right fit for your workload.