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Llama 4 Scout vs DeepSeek V4-Pro

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Llama 4 Scout Cost
$0.16
DeepSeek V4-Pro Cost
$2.11
Llama 4 Scout is 92% cheaper
FeatureLlama 4 ScoutDeepSeek V4-Pro
ProviderMetaDeepSeek
Input Price (1M)$0.10$1.32
Output Price (1M)$0.30$3.96
Context Window10,000,0001,000,000

Verdict

Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. DeepSeek V4-Pro costs $1.32 per 1M input tokens and $3.96 per 1M output tokens. Llama 4 Scout is 92% cheaper on input tokens than DeepSeek V4-Pro. For output tokens, Llama 4 Scout is the more affordable option at $0.30/1M vs $3.96.

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 need the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Llama 4 Scout generates text cheaper
  • ✓ You need a larger context window (10,000,000 tokens)
  • ✓ You are already integrated with Meta

When to choose DeepSeek V4-Pro

  • ✓ You are already integrated with DeepSeek

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 DeepSeek V4-Pro?

Llama 4 Scout is cheaper on input tokens at $0.10/1M vs $1.32/1M for DeepSeek V4-Pro — a 92% saving.

What is the context window of Llama 4 Scout vs DeepSeek V4-Pro?

Llama 4 Scout has a 10,000,000-token context window. DeepSeek V4-Pro has a 1,000,000-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 DeepSeek V4-Pro?

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.