Cohere Rerank 3.5 vs Aya Expanse 32B
Compare Cohere Rerank 3.5 and Aya Expanse 32B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Cohere Rerank 3.5 | Aya Expanse 32B |
|---|---|---|
| Category | Reranking | Open Source |
| Parameters | ~600M | 32B |
| Context Window | 4K | 128K |
| Input Price | $0.002/search/1M tokens | $0.03/1M tokens |
| Output Price | N/A/1M tokens | $0.06/1M tokens |
| Latency | ~25ms | ~250ms |
Choose Cohere Rerank 3.5 when:
- ✓ Search reranking
- ✓ RAG improvement
- ✓ Result quality
Higher quality, Multilingual, Fast
Choose Aya Expanse 32B when:
- ✓ Multilingual apps
- ✓ Translation
- ✓ Global content
23 languages, Open weights, Strong multilingual
Verdict: Cohere Rerank 3.5 vs Aya Expanse 32B
For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, Aya Expanse 32B is faster at ~250ms. Cohere Rerank 3.5 excels at Search reranking while Aya Expanse 32B is better for Multilingual apps. 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. Aya Expanse 32B costs $0.03 input and $0.06 output. Cohere Rerank 3.5 is 15.0x 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. Aya Expanse 32B offers 128K context at ~250ms. Aya Expanse 32B has the larger context window.
Best For
Cohere Rerank 3.5 (Reranking) is optimized for: Search reranking, RAG improvement, Result quality. Aya Expanse 32B (Open Source) works best for: Multilingual apps, Translation, Global content.
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 Aya Expanse 32B
response_b = client.chat.completions.create(
model="c4ai-aya-expanse-32b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Cohere Rerank 3.5 or Aya Expanse 32B?
Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Aya Expanse 32B (Open Source, 32B) offers 23 languages. Choose Cohere Rerank 3.5 for Search reranking or Aya Expanse 32B for Multilingual apps.
How much does Cohere Rerank 3.5 cost vs Aya Expanse 32B?
Cohere Rerank 3.5: $0.002/search/1M input, N/A/1M output. Aya Expanse 32B: $0.03/1M input, $0.06/1M 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 Aya Expanse 32B 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.