Cohere Rerank 3.5 vs Amazon Nova Pro
Compare Cohere Rerank 3.5 and Amazon Nova Pro: 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 | Amazon Nova Pro |
|---|---|---|
| Category | Reranking | Frontier |
| Parameters | ~600M | ~300B |
| Context Window | 4K | 300K |
| Input Price | $0.002/search/1M tokens | $0.008/1M tokens |
| Output Price | N/A/1M tokens | $0.032/1M tokens |
| Latency | ~25ms | ~300ms |
Choose Cohere Rerank 3.5 when:
- ✓ Search reranking
- ✓ RAG improvement
- ✓ Result quality
Higher quality, Multilingual, Fast
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Verdict: Cohere Rerank 3.5 vs Amazon Nova Pro
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. Cohere Rerank 3.5 excels at Search reranking while Amazon Nova Pro is better for Budget 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. Amazon Nova Pro costs $0.008 input and $0.032 output. Cohere Rerank 3.5 is 4.0x 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. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.
Best For
Cohere Rerank 3.5 (Reranking) is optimized for: Search reranking, RAG improvement, Result quality. Amazon Nova Pro (Frontier) works best for: Budget apps, Document analysis, Enterprise.
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 Amazon Nova Pro
response_b = client.chat.completions.create(
model="amazon-nova-pro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Cohere Rerank 3.5 or Amazon Nova Pro?
Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Cohere Rerank 3.5 for Search reranking or Amazon Nova Pro for Budget apps.
How much does Cohere Rerank 3.5 cost vs Amazon Nova Pro?
Cohere Rerank 3.5: $0.002/search/1M input, N/A/1M output. Amazon Nova Pro: $0.008/1M input, $0.032/1M 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 Amazon Nova Pro 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.