GPT-4o Mini vs Cohere Rerank 3.5

Compare GPT-4o 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 GPT-4o Mini Cohere Rerank 3.5
CategoryCompactReranking
Parameters~70B~600M
Context Window128K4K
Input Price$0.015/1M tokens$0.002/search/1M tokens
Output Price$0.06/1M tokensN/A/1M tokens
Latency~200ms~25ms

Choose GPT-4o Mini when:

  • ✓ High-volume multimodal
  • ✓ Content filtering
  • ✓ Budget apps
Key Strengths:

Low cost multimodal, Vision capable, Fast

Choose Cohere Rerank 3.5 when:

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

Higher quality, Multilingual, Fast

Verdict: GPT-4o Mini vs Cohere Rerank 3.5

For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, GPT-4o Mini is faster at ~200ms. GPT-4o Mini excels at High-volume multimodal 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

GPT-4o Mini costs $0.015/1M input tokens and $0.06/1M output tokens. Cohere Rerank 3.5 costs $0.002/search input and N/A output. Cohere Rerank 3.5 is 7.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

GPT-4o Mini has a 128K context window with ~200ms latency. Cohere Rerank 3.5 offers 4K context at ~25ms. GPT-4o Mini has the larger context window.

Best For

GPT-4o Mini (Compact) is optimized for: High-volume multimodal, Content filtering, Budget apps. 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 GPT-4o Mini
response_a = client.chat.completions.create(
    model="gpt-4o-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, GPT-4o Mini or Cohere Rerank 3.5?

GPT-4o Mini (Compact, ~70B) offers Low cost multimodal. Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Choose GPT-4o Mini for High-volume multimodal or Cohere Rerank 3.5 for Search reranking.

How much does GPT-4o Mini cost vs Cohere Rerank 3.5?

GPT-4o Mini: $0.015/1M input, $0.06/1M 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 GPT-4o 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.