Cohere Rerank 3.5 vs Gemma 3 1B

Compare Cohere Rerank 3.5 and Gemma 3 1B: 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 Cohere Rerank 3.5 Gemma 3 1B
CategoryRerankingCompact
Parameters~600M1B
Context Window4K32K
Input Price$0.002/search/1M tokens$0.003/1M tokens
Output PriceN/A/1M tokens$0.006/1M tokens
Latency~25ms~20ms

Choose Cohere Rerank 3.5 when:

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

Higher quality, Multilingual, Fast

Choose Gemma 3 1B when:

  • ✓ Edge inference
  • ✓ Classification
  • ✓ Routing
Key Strengths:

Tiny footprint, Fastest inference, Edge-ready

Verdict: Cohere Rerank 3.5 vs Gemma 3 1B

For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, Gemma 3 1B is faster at ~20ms. Cohere Rerank 3.5 excels at Search reranking while Gemma 3 1B is better for Edge inference. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Cohere Rerank 3.5 costs $0.002/search/1M input tokens and N/A/1M output tokens. Gemma 3 1B costs $0.003 input and $0.006 output. Cohere Rerank 3.5 is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Cohere Rerank 3.5 has a 4K context window with ~25ms latency. Gemma 3 1B offers 32K context at ~20ms. Gemma 3 1B has the larger context window.

Best For

Cohere Rerank 3.5 (Reranking) is optimized for: Search reranking, RAG improvement, Result quality. Gemma 3 1B (Compact) works best for: Edge inference, Classification, Routing.

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 Cohere Rerank 3.5
response_a = client.chat.completions.create(
    model="rerank-v3-5",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Gemma 3 1B
response_b = client.chat.completions.create(
    model="gemma-3-1b",
    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, Cohere Rerank 3.5 or Gemma 3 1B?

Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Gemma 3 1B (Compact, 1B) offers Tiny footprint. Choose Cohere Rerank 3.5 for Search reranking or Gemma 3 1B for Edge inference.

How much does Cohere Rerank 3.5 cost vs Gemma 3 1B?

Cohere Rerank 3.5: $0.002/search/1M input, N/A/1M output. Gemma 3 1B: $0.003/1M input, $0.006/1M 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 Cohere Rerank 3.5 and Gemma 3 1B 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.