Qwen 2.5 VL 7B vs Mistral Medium 3

Compare Qwen 2.5 VL 7B 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 VL 7B Mistral Medium 3
CategoryVisionOpen Source
Parameters7B70B
Context Window128K128K
Input Price$0.01/1M tokens$0.04/1M tokens
Output Price$0.02/1M tokens$0.08/1M tokens
Latency~150ms~300ms

Choose Qwen 2.5 VL 7B when:

  • ✓ Budget image analysis
  • ✓ Simple OCR
  • ✓ Quick visual Q&A
Key Strengths:

Low cost vision, Asian language OCR, Fast

Choose Mistral Medium 3 when:

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

Good balance, Strong function calling, Reliable

Verdict: Qwen 2.5 VL 7B vs Mistral Medium 3

For cost efficiency, Qwen 2.5 VL 7B wins at $0.01/1M input tokens. For speed, Qwen 2.5 VL 7B is faster at ~150ms. Qwen 2.5 VL 7B excels at Budget image analysis 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 VL 7B costs $0.01/1M input tokens and $0.02/1M output tokens. Mistral Medium 3 costs $0.04 input and $0.08 output. Qwen 2.5 VL 7B is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 2.5 VL 7B has a 128K context window with ~150ms latency. Mistral Medium 3 offers 128K context at ~300ms. Both have identical context windows.

Best For

Qwen 2.5 VL 7B (Vision) is optimized for: Budget image analysis, Simple OCR, Quick visual Q&A. 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 VL 7B
response_a = client.chat.completions.create(
    model="qwen-2-5-vl-7b",
    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

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Qwen 2.5 VL 7B or Mistral Medium 3?

Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Mistral Medium 3 (Open Source, 70B) offers Good balance. Choose Qwen 2.5 VL 7B for Budget image analysis or Mistral Medium 3 for Production APIs.

How much does Qwen 2.5 VL 7B cost vs Mistral Medium 3?

Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M 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 VL 7B 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.