Mistral Small 3.1 vs BGE Reranker v2

Compare Mistral Small 3.1 and BGE Reranker v2: 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 BGE Reranker v2
CategoryCompactReranking
Parameters24B568M
Context Window128K8K
Input Price$0.02/1M tokens$0.003/1M tokens
Output Price$0.04/1M tokensN/A/1M tokens
Latency~120ms~30ms

Choose Mistral Small 3.1 when:

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

128K context, Low cost, Fast

Choose BGE Reranker v2 when:

  • ✓ RAG reranking
  • ✓ Search improvement
  • ✓ Citation accuracy
Key Strengths:

High precision, Cross-encoder, Improves RAG quality

Verdict: Mistral Small 3.1 vs BGE Reranker v2

For cost efficiency, BGE Reranker v2 wins at $0.003/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while BGE Reranker v2 is better for RAG 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. BGE Reranker v2 costs $0.003 input and N/A output. BGE Reranker v2 is 6.7x 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. BGE Reranker v2 offers 8K context at ~30ms. Mistral Small 3.1 has the larger context window.

Best For

Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. BGE Reranker v2 (Reranking) works best for: RAG reranking, Search improvement, Citation accuracy.

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 BGE Reranker v2
response_b = client.chat.completions.create(
    model="bge-reranker-v2",
    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 BGE Reranker v2?

Mistral Small 3.1 (Compact, 24B) offers 128K context. BGE Reranker v2 (Reranking, 568M) offers High precision. Choose Mistral Small 3.1 for Lightweight tasks or BGE Reranker v2 for RAG reranking.

How much does Mistral Small 3.1 cost vs BGE Reranker v2?

Mistral Small 3.1: $0.02/1M input, $0.04/1M output. BGE Reranker v2: $0.003/1M 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 BGE Reranker v2 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.