Qwen 2.5 VL 7B vs Pixtral 12B

Compare Qwen 2.5 VL 7B and Pixtral 12B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Alibaba models All Mistral models What is an LLM API? Python Quickstart What is inference?
Feature Qwen 2.5 VL 7B Pixtral 12B
CategoryVisionVision
Parameters7B12B
Context Window128K128K
Input Price$0.01/1M tokens$0.02/1M tokens
Output Price$0.02/1M tokens$0.04/1M tokens
Latency~150ms~200ms

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 Pixtral 12B when:

  • ✓ Simple image tasks
  • ✓ Classification
  • ✓ OCR
Key Strengths:

Low cost vision, Fast, Compact

Verdict: Qwen 2.5 VL 7B vs Pixtral 12B

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 Pixtral 12B is better for Simple image tasks. 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. Pixtral 12B costs $0.02 input and $0.04 output. Qwen 2.5 VL 7B is 2.0x 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. Pixtral 12B offers 128K context at ~200ms. 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. Pixtral 12B (Vision) works best for: Simple image tasks, Classification, OCR.

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 Pixtral 12B
response_b = client.chat.completions.create(
    model="pixtral-12b",
    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 Pixtral 12B?

Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Pixtral 12B (Vision, 12B) offers Low cost vision. Choose Qwen 2.5 VL 7B for Budget image analysis or Pixtral 12B for Simple image tasks.

How much does Qwen 2.5 VL 7B cost vs Pixtral 12B?

Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M output. Pixtral 12B: $0.02/1M input, $0.04/1M 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 Pixtral 12B by changing the model parameter. No code changes needed.

Related Comparisons

Qwen 2.5 VL 7B vs Vedika Vision Qwen 2.5 VL 7B vs Llama 3.2 90B Vision Qwen 2.5 VL 7B vs Llama 3.2 11B Vision Qwen 2.5 VL 7B vs Qwen 2.5 VL 72B Qwen 2.5 VL 7B vs Pixtral Large Qwen 2.5 VL 7B vs InternVL 2.5 78B

Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.