Mistral Small 3.1 vs SD 3.5 Large

Compare Mistral Small 3.1 and SD 3.5 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 SD 3.5 Large
CategoryCompactImage
Parameters24B8B
Context Window128KN/A
Input Price$0.02/1M tokens$0.004/image/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~120ms~3s

Choose Mistral Small 3.1 when:

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

128K context, Low cost, Fast

Choose SD 3.5 Large when:

  • ✓ Detailed illustrations
  • ✓ Temple artwork
  • ✓ Marketing imagery
Key Strengths:

High quality, Detailed output, Good composition

Verdict: Mistral Small 3.1 vs SD 3.5 Large

For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while SD 3.5 Large is better for Detailed illustrations. 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. SD 3.5 Large costs $0.004/image input and N/A output. SD 3.5 Large is 5.0x 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. SD 3.5 Large offers N/A context at ~3s. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. SD 3.5 Large (Image) works best for: Detailed illustrations, Temple artwork, Marketing imagery.

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 SD 3.5 Large
response_b = client.chat.completions.create(
    model="stable-diffusion-3-5-large",
    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, Mistral Small 3.1 or SD 3.5 Large?

Mistral Small 3.1 (Compact, 24B) offers 128K context. SD 3.5 Large (Image, 8B) offers High quality. Choose Mistral Small 3.1 for Lightweight tasks or SD 3.5 Large for Detailed illustrations.

How much does Mistral Small 3.1 cost vs SD 3.5 Large?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. SD 3.5 Large: $0.004/image/1M input, N/A/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 SD 3.5 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.