Qwen 2.5 VL 7B vs Mistral Large 2

Compare Qwen 2.5 VL 7B and Mistral Large 2: 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 Large 2
CategoryVisionOpen Source
Parameters7B123B
Context Window128K128K
Input Price$0.01/1M tokens$0.06/1M tokens
Output Price$0.02/1M tokens$0.10/1M tokens
Latency~150ms~400ms

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 Large 2 when:

  • ✓ API integrations
  • ✓ Structured data
  • ✓ Workflow automation
Key Strengths:

Strong function calling, Good JSON output, Multilingual

Verdict: Qwen 2.5 VL 7B vs Mistral Large 2

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 Large 2 is better for API integrations. 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 Large 2 costs $0.06 input and $0.10 output. Qwen 2.5 VL 7B is 6.0x 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 Large 2 offers 128K context at ~400ms. 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 Large 2 (Open Source) works best for: API integrations, Structured data, Workflow automation.

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 Large 2
response_b = client.chat.completions.create(
    model="mistral-large-2",
    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 Large 2?

Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Mistral Large 2 (Open Source, 123B) offers Strong function calling. Choose Qwen 2.5 VL 7B for Budget image analysis or Mistral Large 2 for API integrations.

How much does Qwen 2.5 VL 7B cost vs Mistral Large 2?

Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M output. Mistral Large 2: $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 7B and Mistral Large 2 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.