Mistral Small 3.1 vs Cohere Rerank 3.5

Compare Mistral Small 3.1 and Cohere Rerank 3.5: 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 Cohere Rerank 3.5
CategoryCompactReranking
Parameters24B~600M
Context Window128K4K
Input Price$0.02/1M tokens$0.002/search/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 Cohere Rerank 3.5 when:

  • ✓ Search reranking
  • ✓ RAG improvement
  • ✓ Result quality
Key Strengths:

Higher quality, Multilingual, Fast

Verdict: Mistral Small 3.1 vs Cohere Rerank 3.5

For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while Cohere Rerank 3.5 is better for Search reranking. 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. Cohere Rerank 3.5 costs $0.002/search input and N/A output. Cohere Rerank 3.5 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. Cohere Rerank 3.5 offers 4K 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. Cohere Rerank 3.5 (Reranking) works best for: Search reranking, RAG improvement, Result quality.

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 Cohere Rerank 3.5
response_b = client.chat.completions.create(
    model="rerank-v3-5",
    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 Cohere Rerank 3.5?

Mistral Small 3.1 (Compact, 24B) offers 128K context. Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Choose Mistral Small 3.1 for Lightweight tasks or Cohere Rerank 3.5 for Search reranking.

How much does Mistral Small 3.1 cost vs Cohere Rerank 3.5?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Cohere Rerank 3.5: $0.002/search/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 Cohere Rerank 3.5 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.