Llama 4 Scout vs Qwen 2.5 Coder 32B

Compare Llama 4 Scout and Qwen 2.5 Coder 32B: 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 Qwen 2.5 Coder 32B
CategoryOpen SourceCode
Parameters109B (17B active)32B
Context Window512K128K
Input Price$0.05/1M tokens$0.03/1M tokens
Output Price$0.08/1M tokens$0.05/1M tokens
Latency~350ms~200ms

Choose Llama 4 Scout when:

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

512K context, MoE efficiency, Strong multilingual

Choose Qwen 2.5 Coder 32B when:

  • ✓ Faith-tech code
  • ✓ API development
  • ✓ Frontend code
Key Strengths:

Strong code generation, API understanding, Good frameworks

Verdict: Llama 4 Scout vs Qwen 2.5 Coder 32B

For cost efficiency, Qwen 2.5 Coder 32B wins at $0.03/1M input tokens. For speed, Qwen 2.5 Coder 32B is faster at ~200ms. Llama 4 Scout excels at Classical text analysis while Qwen 2.5 Coder 32B is better for Faith-tech code. 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. Qwen 2.5 Coder 32B costs $0.03 input and $0.05 output. Qwen 2.5 Coder 32B is 1.7x 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. Qwen 2.5 Coder 32B offers 128K context at ~200ms. 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. Qwen 2.5 Coder 32B (Code) works best for: Faith-tech code, API development, Frontend code.

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 Qwen 2.5 Coder 32B
response_b = client.chat.completions.create(
    model="qwen-2-5-coder-32b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 4 Scout or Qwen 2.5 Coder 32B?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Qwen 2.5 Coder 32B (Code, 32B) offers Strong code generation. Choose Llama 4 Scout for Classical text analysis or Qwen 2.5 Coder 32B for Faith-tech code.

How much does Llama 4 Scout cost vs Qwen 2.5 Coder 32B?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. Qwen 2.5 Coder 32B: $0.03/1M input, $0.05/1M 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 Qwen 2.5 Coder 32B 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.