Qwen 2.5 VL 72B vs Pixtral Large

Compare Qwen 2.5 VL 72B and Pixtral Large: 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 Qwen 2.5 VL 72B Pixtral Large
CategoryVisionVision
Parameters72B124B
Context Window128K128K
Input Price$0.05/1M tokens$0.06/1M tokens
Output Price$0.10/1M tokens$0.10/1M tokens
Latency~400ms~450ms

Choose Qwen 2.5 VL 72B when:

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

Vision + language, Strong Asian text OCR, Good reasoning

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Verdict: Qwen 2.5 VL 72B vs Pixtral Large

For cost efficiency, Qwen 2.5 VL 72B wins at $0.05/1M input tokens. For speed, Qwen 2.5 VL 72B is faster at ~400ms. Qwen 2.5 VL 72B excels at Document analysis while Pixtral Large is better for Image 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

Qwen 2.5 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. Pixtral Large costs $0.06 input and $0.10 output. Qwen 2.5 VL 72B is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 72B has a 128K context window with ~400ms latency. Pixtral Large offers 128K context at ~450ms. Both have identical context windows.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Pixtral Large (Vision) works best for: Image analysis, Document understanding, Chart reading.

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

# Use Pixtral Large
response_b = client.chat.completions.create(
    model="pixtral-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Qwen 2.5 VL 72B or Pixtral Large?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Pixtral Large (Vision, 124B) offers Strong vision. Choose Qwen 2.5 VL 72B for Document analysis or Pixtral Large for Image analysis.

How much does Qwen 2.5 VL 72B cost vs Pixtral Large?

Qwen 2.5 VL 72B: $0.05/1M input, $0.10/1M output. Pixtral Large: $0.06/1M 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 Qwen 2.5 VL 72B and Pixtral Large 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.