Llama 3.2 11B Vision vs Pixtral Large

Compare Llama 3.2 11B Vision and Pixtral Large: 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 Pixtral Large
CategoryVisionVision
Parameters11B124B
Context Window128K128K
Input Price$0.02/1M tokens$0.06/1M tokens
Output Price$0.04/1M tokens$0.10/1M tokens
Latency~200ms~450ms

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Verdict: Llama 3.2 11B Vision vs Pixtral Large

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Llama 3.2 11B Vision excels at Image classification while Pixtral Large is better for 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. Pixtral Large costs $0.06 input and $0.10 output. Llama 3.2 11B Vision is 3.0x 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. Pixtral Large offers 128K context at ~450ms. Both have identical context windows.

Best For

Llama 3.2 11B Vision (Vision) is optimized for: Image classification, OCR, Simple visual Q&A. Pixtral Large (Vision) works best for: Image analysis, Document understanding, Chart reading.

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 Pixtral Large
response_b = client.chat.completions.create(
    model="pixtral-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Llama 3.2 11B Vision or Pixtral Large?

Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Pixtral Large (Vision, 124B) offers Strong vision. Choose Llama 3.2 11B Vision for Image classification or Pixtral Large for Image analysis.

How much does Llama 3.2 11B Vision cost vs Pixtral Large?

Llama 3.2 11B Vision: $0.02/1M input, $0.04/1M output. Pixtral Large: $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 Llama 3.2 11B Vision and Pixtral Large by changing the model parameter. No code changes needed.

Related Comparisons

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