Mistral Small 3.1 vs Pixtral Large

Compare Mistral Small 3.1 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 Mistral Small 3.1 Pixtral Large
CategoryCompactVision
Parameters24B124B
Context Window128K128K
Input Price$0.02/1M tokens$0.06/1M tokens
Output Price$0.04/1M tokens$0.10/1M tokens
Latency~120ms~450ms

Choose Mistral Small 3.1 when:

  • ✓ Lightweight tasks
  • ✓ Classification
  • ✓ Simple generation
Key Strengths:

128K context, Low cost, Fast

Choose Pixtral Large when:

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

Strong vision, Good reasoning, Multilingual

Verdict: Mistral Small 3.1 vs Pixtral Large

For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks 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

Mistral Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. Pixtral Large costs $0.06 input and $0.10 output. Mistral Small 3.1 is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Small 3.1 has a 128K context window with ~120ms latency. Pixtral Large offers 128K context at ~450ms. Both have identical context windows.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. 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 Mistral Small 3.1
response_a = client.chat.completions.create(
    model="mistral-small-3-1",
    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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Frequently Asked Questions

Which is better, Mistral Small 3.1 or Pixtral Large?

Mistral Small 3.1 (Compact, 24B) offers 128K context. Pixtral Large (Vision, 124B) offers Strong vision. Choose Mistral Small 3.1 for Lightweight tasks or Pixtral Large for Image analysis.

How much does Mistral Small 3.1 cost vs Pixtral Large?

Mistral Small 3.1: $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 Mistral Small 3.1 and Pixtral Large 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.