Llama 4 Scout (DeepInfra) vs Llama 4 Scout
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Llama 4 Scout (DeepInfra) | Llama 4 Scout |
|---|---|---|
| Provider | DeepInfra | Meta |
| Input Price (1M) | $0.10 | $0.10 |
| Output Price (1M) | $0.30 | $0.30 |
| Context Window | 10,000,000 | 10,000,000 |
Verdict
Llama 4 Scout (DeepInfra) costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout (DeepInfra) and Llama 4 Scout have identical input token pricing. For output tokens, Llama 4 Scout (DeepInfra) is the more affordable option at $0.30/1M 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 Llama 4 Scout (DeepInfra)
- ✓ You are already integrated with DeepInfra
When to choose Llama 4 Scout
- ✓ You are already integrated with Meta
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 Llama 4 Scout (DeepInfra) cheaper than Llama 4 Scout? ▼
Llama 4 Scout (DeepInfra) and Llama 4 Scout have identical input token pricing at $0.10/1M tokens.
What is the context window of Llama 4 Scout (DeepInfra) vs Llama 4 Scout? ▼
Llama 4 Scout (DeepInfra) has a 10,000,000-token context window. Llama 4 Scout 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: Llama 4 Scout (DeepInfra) or Llama 4 Scout? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Scout (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.