Mistral Small 3.1 vs Mistral Embed

Compare Mistral Small 3.1 and Mistral Embed: 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 Mistral Embed
CategoryCompactEmbedding
Parameters24B~200M
Context Window128K8K
Input Price$0.02/1M tokens$0.001/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~120ms~15ms

Choose Mistral Small 3.1 when:

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

128K context, Low cost, Fast

Choose Mistral Embed when:

  • ✓ RAG pipelines
  • ✓ Semantic search
  • ✓ Document clustering
Key Strengths:

Fast, Low cost, Good quality

Verdict: Mistral Small 3.1 vs Mistral Embed

For cost efficiency, Mistral Embed wins at $0.001/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while Mistral Embed is better for RAG pipelines. 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. Mistral Embed costs $0.001 input and N/A output. Mistral Embed is 20.0x 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. Mistral Embed offers 8K context at ~15ms. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. Mistral Embed (Embedding) works best for: RAG pipelines, Semantic search, Document clustering.

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 Mistral Embed
response_b = client.chat.completions.create(
    model="mistral-embed",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Mistral Small 3.1 or Mistral Embed?

Mistral Small 3.1 (Compact, 24B) offers 128K context. Mistral Embed (Embedding, ~200M) offers Fast. Choose Mistral Small 3.1 for Lightweight tasks or Mistral Embed for RAG pipelines.

How much does Mistral Small 3.1 cost vs Mistral Embed?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Mistral Embed: $0.001/1M 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 Mistral Embed 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.