Phi-3.5 Mini vs Cohere Rerank 3.5

Compare Phi-3.5 Mini 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 Phi-3.5 Mini Cohere Rerank 3.5
CategoryCompactReranking
Parameters3.8B~600M
Context Window128K4K
Input Price$0.005/1M tokens$0.002/search/1M tokens
Output Price$0.01/1M tokensN/A/1M tokens
Latency~50ms~25ms

Choose Phi-3.5 Mini when:

  • ✓ Simple Q&A
  • ✓ Classification
  • ✓ Edge inference
Key Strengths:

128K context in tiny model, Ultra-low cost, Fast

Choose Cohere Rerank 3.5 when:

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

Higher quality, Multilingual, Fast

Verdict: Phi-3.5 Mini vs Cohere Rerank 3.5

For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, Cohere Rerank 3.5 is faster at ~25ms. Phi-3.5 Mini excels at Simple Q&A 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

Phi-3.5 Mini costs $0.005/1M input tokens and $0.01/1M output tokens. Cohere Rerank 3.5 costs $0.002/search input and N/A output. Cohere Rerank 3.5 is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Phi-3.5 Mini has a 128K context window with ~50ms latency. Cohere Rerank 3.5 offers 4K context at ~25ms. Phi-3.5 Mini has the larger context window.

Best For

Phi-3.5 Mini (Compact) is optimized for: Simple Q&A, Classification, Edge inference. 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 Phi-3.5 Mini
response_a = client.chat.completions.create(
    model="phi-3-5-mini",
    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, Phi-3.5 Mini or Cohere Rerank 3.5?

Phi-3.5 Mini (Compact, 3.8B) offers 128K context in tiny model. Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Choose Phi-3.5 Mini for Simple Q&A or Cohere Rerank 3.5 for Search reranking.

How much does Phi-3.5 Mini cost vs Cohere Rerank 3.5?

Phi-3.5 Mini: $0.005/1M input, $0.01/1M 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 Phi-3.5 Mini 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.