Claude Sonnet 4 vs Llama 4 Scout

Compare Claude Sonnet 4 and Llama 4 Scout: 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 Claude Sonnet 4 Llama 4 Scout
CategoryFrontierOpen Source
Parameters~500B109B (17B active)
Context Window200K512K
Input Price$0.03/1M tokens$0.05/1M tokens
Output Price$0.15/1M tokens$0.08/1M tokens
Latency~350ms~350ms

Choose Claude Sonnet 4 when:

  • ✓ General Q&A
  • ✓ Content generation
  • ✓ Temple chatbots
Key Strengths:

Excellent reasoning-per-dollar, 200K context, Strong multilingual

Choose Llama 4 Scout when:

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

512K context, MoE efficiency, Strong multilingual

Verdict: Claude Sonnet 4 vs Llama 4 Scout

For cost efficiency, Claude Sonnet 4 wins at $0.03/1M input tokens. For speed, Llama 4 Scout is faster at ~350ms. Claude Sonnet 4 excels at General Q&A while Llama 4 Scout is better for Classical text analysis. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Claude Sonnet 4 costs $0.03/1M input tokens and $0.15/1M output tokens. Llama 4 Scout costs $0.05 input and $0.08 output. Claude Sonnet 4 is 1.7x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Claude Sonnet 4 has a 200K context window with ~350ms latency. Llama 4 Scout offers 512K context at ~350ms. Llama 4 Scout has the larger context window.

Best For

Claude Sonnet 4 (Frontier) is optimized for: General Q&A, Content generation, Temple chatbots. Llama 4 Scout (Open Source) works best for: Classical text analysis, Long content, Multi-turn.

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 Claude Sonnet 4
response_a = client.chat.completions.create(
    model="claude-sonnet-4",
    messages=[{"role": "user", "content": "Your question here"}]
)

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

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Frequently Asked Questions

Which is better, Claude Sonnet 4 or Llama 4 Scout?

Claude Sonnet 4 (Frontier, ~500B) offers Excellent reasoning-per-dollar. Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Choose Claude Sonnet 4 for General Q&A or Llama 4 Scout for Classical text analysis.

How much does Claude Sonnet 4 cost vs Llama 4 Scout?

Claude Sonnet 4: $0.03/1M input, $0.15/1M output. Llama 4 Scout: $0.05/1M input, $0.08/1M 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 Claude Sonnet 4 and Llama 4 Scout 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.