Mistral Small 3.1 vs Jina Embeddings v3

Compare Mistral Small 3.1 and Jina Embeddings v3: 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 Jina Embeddings v3
CategoryCompactEmbedding
Parameters24B~300M
Context Window128K8K
Input Price$0.02/1M tokens$0.002/1M 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 Jina Embeddings v3 when:

  • ✓ Multilingual search
  • ✓ Cross-language RAG
  • ✓ Semantic matching
Key Strengths:

Strong multilingual, Good for RAG, Flexible dimensions

Verdict: Mistral Small 3.1 vs Jina Embeddings v3

For cost efficiency, Jina Embeddings v3 wins at $0.002/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while Jina Embeddings v3 is better for Multilingual search. 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. Jina Embeddings v3 costs $0.002 input and N/A output. Jina Embeddings v3 is 10.0x 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. Jina Embeddings v3 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. Jina Embeddings v3 (Embedding) works best for: Multilingual search, Cross-language RAG, Semantic matching.

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 Jina Embeddings v3
response_b = client.chat.completions.create(
    model="jina-embeddings-v3",
    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 Jina Embeddings v3?

Mistral Small 3.1 (Compact, 24B) offers 128K context. Jina Embeddings v3 (Embedding, ~300M) offers Strong multilingual. Choose Mistral Small 3.1 for Lightweight tasks or Jina Embeddings v3 for Multilingual search.

How much does Mistral Small 3.1 cost vs Jina Embeddings v3?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Jina Embeddings v3: $0.002/1M 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 Jina Embeddings v3 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.