Llama 4 Scout vs Amazon Nova Pro

Compare Llama 4 Scout and Amazon Nova Pro: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Llama 4 Scout Amazon Nova Pro
CategoryOpen SourceFrontier
Parameters109B (17B active)~300B
Context Window512K300K
Input Price$0.05/1M tokens$0.008/1M tokens
Output Price$0.08/1M tokens$0.032/1M tokens
Latency~350ms~300ms

Choose Llama 4 Scout when:

  • ✓ Classical text analysis
  • ✓ Long content
  • ✓ Multi-turn
Key Strengths:

512K context, MoE efficiency, Strong multilingual

Choose Amazon Nova Pro when:

  • ✓ Budget apps
  • ✓ Document analysis
  • ✓ Enterprise
Key Strengths:

Very low cost, 300K context, Multimodal

Verdict: Llama 4 Scout vs Amazon Nova Pro

For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Amazon Nova Pro is faster at ~300ms. Llama 4 Scout excels at Classical text analysis while Amazon Nova Pro is better for Budget apps. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 4 Scout costs $0.05/1M input tokens and $0.08/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Amazon Nova Pro is 6.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 4 Scout has a 512K context window with ~350ms latency. Amazon Nova Pro offers 300K context at ~300ms. Llama 4 Scout has the larger context window.

Best For

Llama 4 Scout (Open Source) is optimized for: Classical text analysis, Long content, Multi-turn. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use Llama 4 Scout
response_a = client.chat.completions.create(
    model="llama-4-scout",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Amazon Nova Pro
response_b = client.chat.completions.create(
    model="amazon-nova-pro",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Llama 4 Scout or Amazon Nova Pro?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Llama 4 Scout for Classical text analysis or Amazon Nova Pro for Budget apps.

How much does Llama 4 Scout cost vs Amazon Nova Pro?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Llama 4 Scout and Amazon Nova Pro by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.