Llama 4 Scout vs Perplexity Sonar Pro

Compare Llama 4 Scout and Perplexity Sonar 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 Perplexity Sonar Pro
CategoryOpen SourceSearch
Parameters109B (17B active)~200B
Context Window512K200K
Input Price$0.05/1M tokens$0.003/1M tokens
Output Price$0.08/1M tokens$0.015/1M tokens
Latency~350ms~600ms

Choose Llama 4 Scout when:

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

512K context, MoE efficiency, Strong multilingual

Choose Perplexity Sonar Pro when:

  • ✓ Research Q&A
  • ✓ Fact-checking
  • ✓ Current events
Key Strengths:

Web-grounded, Auto-citations, Current information

Verdict: Llama 4 Scout vs Perplexity Sonar Pro

For cost efficiency, Perplexity Sonar Pro wins at $0.003/1M input tokens. For speed, Llama 4 Scout is faster at ~350ms. Llama 4 Scout excels at Classical text analysis while Perplexity Sonar Pro is better for Research Q&A. 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. Perplexity Sonar Pro costs $0.003 input and $0.015 output. Perplexity Sonar Pro is 16.7x 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. Perplexity Sonar Pro offers 200K context at ~600ms. 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. Perplexity Sonar Pro (Search) works best for: Research Q&A, Fact-checking, Current events.

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 Perplexity Sonar Pro
response_b = client.chat.completions.create(
    model="perplexity-sonar-pro",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 4 Scout or Perplexity Sonar Pro?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Perplexity Sonar Pro (Search, ~200B) offers Web-grounded. Choose Llama 4 Scout for Classical text analysis or Perplexity Sonar Pro for Research Q&A.

How much does Llama 4 Scout cost vs Perplexity Sonar Pro?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. Perplexity Sonar Pro: $0.003/1M input, $0.015/1M 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 Perplexity Sonar 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.