Qwen 2.5 72B Turbo vs Mistral Medium 3

Compare Qwen 2.5 72B Turbo and Mistral Medium 3: 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 72B Turbo Mistral Medium 3
CategoryOpen SourceOpen Source
Parameters72B70B
Context Window128K128K
Input Price$0.04/1M tokens$0.04/1M tokens
Output Price$0.08/1M tokens$0.08/1M tokens
Latency~300ms~300ms

Choose Qwen 2.5 72B Turbo when:

  • ✓ Pan-India apps
  • ✓ Multilingual Q&A
  • ✓ Content generation
Key Strengths:

Strong Asian languages, Good reasoning, Fast inference

Choose Mistral Medium 3 when:

  • ✓ Production APIs
  • ✓ Template filling
  • ✓ General purpose
Key Strengths:

Good balance, Strong function calling, Reliable

Verdict: Qwen 2.5 72B Turbo vs Mistral Medium 3

For cost efficiency, Mistral Medium 3 wins at $0.04/1M input tokens. For speed, Mistral Medium 3 is faster at ~300ms. Qwen 2.5 72B Turbo excels at Pan-India apps while Mistral Medium 3 is better for Production APIs. 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 72B Turbo costs $0.04/1M input tokens and $0.08/1M output tokens. Mistral Medium 3 costs $0.04 input and $0.08 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 72B Turbo has a 128K context window with ~300ms latency. Mistral Medium 3 offers 128K context at ~300ms. Both have identical context windows.

Best For

Qwen 2.5 72B Turbo (Open Source) is optimized for: Pan-India apps, Multilingual Q&A, Content generation. Mistral Medium 3 (Open Source) works best for: Production APIs, Template filling, General purpose.

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

# Use Mistral Medium 3
response_b = client.chat.completions.create(
    model="mistral-medium-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Qwen 2.5 72B Turbo or Mistral Medium 3?

Qwen 2.5 72B Turbo (Open Source, 72B) offers Strong Asian languages. Mistral Medium 3 (Open Source, 70B) offers Good balance. Choose Qwen 2.5 72B Turbo for Pan-India apps or Mistral Medium 3 for Production APIs.

How much does Qwen 2.5 72B Turbo cost vs Mistral Medium 3?

Qwen 2.5 72B Turbo: $0.04/1M input, $0.08/1M output. Mistral Medium 3: $0.04/1M input, $0.08/1M 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 72B Turbo and Mistral Medium 3 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.