Llama 4 Scout vs Qwen 3 14B

Compare Llama 4 Scout and Qwen 3 14B: 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 3 14B
CategoryOpen SourceCompact
Parameters109B (17B active)14B
Context Window512K128K
Input Price$0.05/1M tokens$0.015/1M tokens
Output Price$0.08/1M tokens$0.03/1M tokens
Latency~350ms~100ms

Choose Llama 4 Scout when:

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

512K context, MoE efficiency, Strong multilingual

Choose Qwen 3 14B when:

  • ✓ Moderate tasks
  • ✓ Fast chatbots
  • ✓ Budget apps
Key Strengths:

Good reasoning for size, Fast, 128K context

Verdict: Llama 4 Scout vs Qwen 3 14B

For cost efficiency, Qwen 3 14B wins at $0.015/1M input tokens. For speed, Qwen 3 14B is faster at ~100ms. Llama 4 Scout excels at Classical text analysis while Qwen 3 14B is better for Moderate tasks. 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 3 14B costs $0.015 input and $0.03 output. Qwen 3 14B is 3.3x 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. Qwen 3 14B offers 128K context at ~100ms. 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 3 14B (Compact) works best for: Moderate tasks, Fast chatbots, Budget apps.

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 3 14B
response_b = client.chat.completions.create(
    model="qwen-3-14b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Llama 4 Scout or Qwen 3 14B?

Llama 4 Scout (Open Source, 109B (17B active)) offers 512K context. Qwen 3 14B (Compact, 14B) offers Good reasoning for size. Choose Llama 4 Scout for Classical text analysis or Qwen 3 14B for Moderate tasks.

How much does Llama 4 Scout cost vs Qwen 3 14B?

Llama 4 Scout: $0.05/1M input, $0.08/1M output. Qwen 3 14B: $0.015/1M input, $0.03/1M 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 3 14B 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.