Llama 3.1 70B Turbo vs Qwen 2.5 VL 72B

Compare Llama 3.1 70B 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 70B Turbo Qwen 2.5 VL 72B
CategoryOpen SourceVision
Parameters70B72B
Context Window128K128K
Input Price$0.04/1M tokens$0.05/1M tokens
Output Price$0.06/1M tokens$0.10/1M tokens
Latency~250ms~400ms

Choose Llama 3.1 70B Turbo when:

  • ✓ Production APIs
  • ✓ Fast generation
  • ✓ General purpose
Key Strengths:

Fast inference, Good quality, Well-tested

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 70B Turbo vs Qwen 2.5 VL 72B

For cost efficiency, Llama 3.1 70B Turbo wins at $0.04/1M input tokens. For speed, Llama 3.1 70B Turbo is faster at ~250ms. Llama 3.1 70B Turbo excels at Production APIs 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 70B Turbo costs $0.04/1M input tokens and $0.06/1M output tokens. Qwen 2.5 VL 72B costs $0.05 input and $0.10 output. Llama 3.1 70B Turbo is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.1 70B Turbo has a 128K context window with ~250ms latency. Qwen 2.5 VL 72B offers 128K context at ~400ms. Both have identical context windows.

Best For

Llama 3.1 70B Turbo (Open Source) is optimized for: Production APIs, Fast generation, General purpose. 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 70B Turbo
response_a = client.chat.completions.create(
    model="llama-3-1-70b-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 70B Turbo or Qwen 2.5 VL 72B?

Llama 3.1 70B Turbo (Open Source, 70B) offers Fast inference. Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Choose Llama 3.1 70B Turbo for Production APIs or Qwen 2.5 VL 72B for Document analysis.

How much does Llama 3.1 70B Turbo cost vs Qwen 2.5 VL 72B?

Llama 3.1 70B Turbo: $0.04/1M input, $0.06/1M 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 70B 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.