Llama 3.1 8B Turbo vs Qwen 2.5 Coder 32B

Compare Llama 3.1 8B Turbo 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

All Meta models All Alibaba models What is an LLM API? Python Quickstart What is inference?
Feature Llama 3.1 8B Turbo Qwen 2.5 Coder 32B
CategoryCompactCode
Parameters8B32B
Context Window128K128K
Input Price$0.01/1M tokens$0.03/1M tokens
Output Price$0.02/1M tokens$0.05/1M tokens
Latency~60ms~200ms

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 Coder 32B when:

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

Strong code generation, API understanding, Good frameworks

Verdict: Llama 3.1 8B Turbo vs Qwen 2.5 Coder 32B

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Qwen 2.5 Coder 32B is faster at ~200ms. Llama 3.1 8B Turbo excels at Intent classification 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 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. Qwen 2.5 Coder 32B costs $0.03 input and $0.05 output. Llama 3.1 8B Turbo is 3.0x 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 Coder 32B offers 128K context at ~200ms. 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 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 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 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 3.1 8B Turbo or Qwen 2.5 Coder 32B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Qwen 2.5 Coder 32B (Code, 32B) offers Strong code generation. Choose Llama 3.1 8B Turbo for Intent classification or Qwen 2.5 Coder 32B for Faith-tech code.

How much does Llama 3.1 8B Turbo cost vs Qwen 2.5 Coder 32B?

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M 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 3.1 8B Turbo 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.