Llama 3.1 8B Turbo vs Qwen 2.5 72B Turbo

Compare Llama 3.1 8B Turbo and Qwen 2.5 72B Turbo: 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 3.1 8B Turbo Qwen 2.5 72B Turbo
CategoryCompactOpen Source
Parameters8B72B
Context Window128K128K
Input Price$0.01/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.08/1M tokens
Latency~60ms~300ms

Choose Llama 3.1 8B Turbo when:

  • ✓ Intent classification
  • ✓ Content filtering
  • ✓ Simple Q&A
Key Strengths:

Extremely fast, Very low cost, 128K context

Choose Qwen 2.5 72B Turbo when:

  • ✓ Pan-India apps
  • ✓ Multilingual Q&A
  • ✓ Content generation
Key Strengths:

Strong Asian languages, Good reasoning, Fast inference

Verdict: Llama 3.1 8B Turbo vs Qwen 2.5 72B Turbo

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Qwen 2.5 72B Turbo is faster at ~300ms. Llama 3.1 8B Turbo excels at Intent classification while Qwen 2.5 72B Turbo is better for Pan-India 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 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Qwen 2.5 72B Turbo costs $0.04 input and $0.08 output. Llama 3.1 8B Turbo is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. Qwen 2.5 72B Turbo offers 128K context at ~300ms. Both have identical context windows.

Best For

Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. Qwen 2.5 72B Turbo (Open Source) works best for: Pan-India apps, Multilingual Q&A, Content generation.

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 3.1 8B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-8b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Qwen 2.5 72B Turbo
response_b = client.chat.completions.create(
    model="qwen-2-5-72b-turbo",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.1 8B Turbo or Qwen 2.5 72B Turbo?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Choose Llama 3.1 8B Turbo for Intent classification or Qwen 2.5 72B Turbo for Pan-India apps.

How much does Llama 3.1 8B Turbo cost vs Qwen 2.5 72B Turbo?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. Qwen 2.5 72B Turbo: $0.04/1M 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 Llama 3.1 8B Turbo and Qwen 2.5 72B Turbo 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.