Qwen 2.5 VL 72B vs Codestral

Compare Qwen 2.5 VL 72B and Codestral: 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 Codestral
CategoryVisionCode
Parameters72B22B
Context Window128K256K
Input Price$0.05/1M tokens$0.03/1M tokens
Output Price$0.10/1M tokens$0.05/1M tokens
Latency~400ms~200ms

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 Codestral when:

  • ✓ API integration code
  • ✓ SDK generation
  • ✓ Code review
Key Strengths:

256K context for code, Strong code generation, Good APIs

Verdict: Qwen 2.5 VL 72B vs Codestral

For cost efficiency, Codestral wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Qwen 2.5 VL 72B excels at Document analysis while Codestral is better for API integration 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

Qwen 2.5 VL 72B costs $0.05/1M input tokens and $0.10/1M output tokens. Codestral costs $0.03 input and $0.05 output. Codestral is 1.7x 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. Codestral offers 256K context at ~200ms. Codestral has the larger context window.

Best For

Qwen 2.5 VL 72B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Codestral (Code) works best for: API integration code, SDK generation, Code review.

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 Codestral
response_b = client.chat.completions.create(
    model="codestral",
    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 Codestral?

Qwen 2.5 VL 72B (Vision, 72B) offers Vision + language. Codestral (Code, 22B) offers 256K context for code. Choose Qwen 2.5 VL 72B for Document analysis or Codestral for API integration code.

How much does Qwen 2.5 VL 72B cost vs Codestral?

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