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Llama 4 Scout vs Llama 4 Scout (DeepInfra)

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Scout Cost
$0.16
Llama 4 Scout (DeepInfra) Cost
$0.16
Same cost at this usage
FeatureLlama 4 ScoutLlama 4 Scout (DeepInfra)
ProviderMetaDeepInfra
Input Price (1M)$0.10$0.10
Output Price (1M)$0.30$0.30
Context Window10,000,00010,000,000

Verdict

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout (DeepInfra) costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout and Llama 4 Scout (DeepInfra) have identical input token pricing. For output tokens, Llama 4 Scout is the more affordable option at $0.30/1M vs $0.30.

On context window, Llama 4 Scout 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

  • ✓ You are already integrated with Meta

When to choose Llama 4 Scout (DeepInfra)

  • ✓ 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 Llama 4 Scout cheaper than Llama 4 Scout (DeepInfra)?

Llama 4 Scout and Llama 4 Scout (DeepInfra) have identical input token pricing at $0.10/1M tokens.

What is the context window of Llama 4 Scout vs Llama 4 Scout (DeepInfra)?

Llama 4 Scout has a 10,000,000-token context window. Llama 4 Scout (DeepInfra) has a 10,000,000-token context window. Llama 4 Scout supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Llama 4 Scout or Llama 4 Scout (DeepInfra)?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Scout is the cheaper option. For maximum context length, Llama 4 Scout supports 10,000,000 tokens. Use the comparison table above to find the right fit for your workload.