Mistral Small 3.1 vs Voyage Large 2

Compare Mistral Small 3.1 and Voyage Large 2: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

All Mistral models All Voyage AI models What is an LLM API? Python Quickstart What is inference?
Feature Mistral Small 3.1 Voyage Large 2
CategoryCompactEmbedding
Parameters24B~500M
Context Window128K16K
Input Price$0.02/1M tokens$0.002/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~120ms~25ms

Choose Mistral Small 3.1 when:

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

128K context, Low cost, Fast

Choose Voyage Large 2 when:

  • ✓ Code search
  • ✓ Long document RAG
  • ✓ Semantic matching
Key Strengths:

16K context, High quality, Good for code

Verdict: Mistral Small 3.1 vs Voyage Large 2

For cost efficiency, Voyage Large 2 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 Voyage Large 2 is better for Code 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. Voyage Large 2 costs $0.002 input and N/A output. Voyage Large 2 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. Voyage Large 2 offers 16K context at ~25ms. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. Voyage Large 2 (Embedding) works best for: Code search, Long document 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 Voyage Large 2
response_b = client.chat.completions.create(
    model="voyage-large-2",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Mistral Small 3.1 or Voyage Large 2?

Mistral Small 3.1 (Compact, 24B) offers 128K context. Voyage Large 2 (Embedding, ~500M) offers 16K context. Choose Mistral Small 3.1 for Lightweight tasks or Voyage Large 2 for Code search.

How much does Mistral Small 3.1 cost vs Voyage Large 2?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Voyage Large 2: $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 Voyage Large 2 by changing the model parameter. No code changes needed.

Related Comparisons

Mistral Small 3.1 vs GPT-4.1 Nano Mistral Small 3.1 vs GPT-4o Mini Mistral Small 3.1 vs Text Embedding 3 Large Mistral Small 3.1 vs Claude Haiku 3.5 Mistral Small 3.1 vs Gemma 3 12B Mistral Small 3.1 vs Gemma 3 4B

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