Llama 3.1 8B Turbo vs Qwen 2.5 VL 72B

Compare Llama 3.1 8B Turbo and Qwen 2.5 VL 72B: 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 VL 72B
CategoryCompactVision
Parameters8B72B
Context Window128K128K
Input Price$0.01/1M tokens$0.05/1M tokens
Output Price$0.02/1M tokens$0.10/1M tokens
Latency~60ms~400ms

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 VL 72B when:

  • ✓ Document analysis
  • ✓ Chart reading
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Strong Asian text OCR, Good reasoning

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

For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, Qwen 2.5 VL 72B is faster at ~400ms. Llama 3.1 8B Turbo excels at Intent classification while Qwen 2.5 VL 72B is better for Document analysis. 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 VL 72B costs $0.05 input and $0.10 output. Llama 3.1 8B Turbo is 5.0x 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 VL 72B offers 128K context at ~400ms. 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 VL 72B (Vision) works best for: Document analysis, Chart reading, Visual Q&A.

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 VL 72B
response_b = client.chat.completions.create(
    model="qwen-2-5-vl-72b",
    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 VL 72B?

Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose Llama 3.1 8B Turbo for Intent classification or Qwen 2.5 VL 72B for Document analysis.

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

Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M 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 VL 72B 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.