Llama 3.2 11B Vision vs Qwen 2.5 VL 7B

Compare Llama 3.2 11B Vision and Qwen 2.5 VL 7B: 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 Llama 3.2 11B Vision Qwen 2.5 VL 7B
CategoryVisionVision
Parameters11B7B
Context Window128K128K
Input Price$0.02/1M tokens$0.01/1M tokens
Output Price$0.04/1M tokens$0.02/1M tokens
Latency~200ms~150ms

Choose Llama 3.2 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

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

Verdict: Llama 3.2 11B Vision vs Qwen 2.5 VL 7B

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. Llama 3.2 11B Vision excels at Image classification while Qwen 2.5 VL 7B is better for Budget image analysis. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.2 11B Vision costs $0.02/1M input tokens and $0.04/1M output tokens. Qwen 2.5 VL 7B costs $0.01 input and $0.02 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

Llama 3.2 11B Vision has a 128K context window with ~200ms latency. Qwen 2.5 VL 7B offers 128K context at ~150ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Qwen 2.5 VL 7B (Vision) works best for: Budget image analysis, Simple OCR, Quick visual Q&A.

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 Llama 3.2 11B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-11b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Qwen 2.5 VL 7B
response_b = client.chat.completions.create(
    model="qwen-2-5-vl-7b",
    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, Llama 3.2 11B Vision or Qwen 2.5 VL 7B?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Qwen 2.5 VL 7B (Vision, 7B) offers Low cost vision. Choose Llama 3.2 11B Vision for Image classification or Qwen 2.5 VL 7B for Budget image analysis.

How much does Llama 3.2 11B Vision cost vs Qwen 2.5 VL 7B?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Qwen 2.5 VL 7B: $0.01/1M input, $0.02/1M 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 Llama 3.2 11B Vision and Qwen 2.5 VL 7B 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.