Cohere Rerank 3.5 vs Deepgram Nova 3
Compare Cohere Rerank 3.5 and Deepgram Nova 3: 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 | Deepgram Nova 3 |
|---|---|---|
| Category | Reranking | Speech |
| Parameters | ~600M | ~1B |
| Context Window | 4K | Streaming |
| Input Price | $0.002/search/1M tokens | $0.004/min/1M tokens |
| Output Price | N/A/1M tokens | N/A/1M tokens |
| Latency | ~25ms | ~100ms |
Choose Cohere Rerank 3.5 when:
- ✓ Search reranking
- ✓ RAG improvement
- ✓ Result quality
Higher quality, Multilingual, Fast
Choose Deepgram Nova 3 when:
- ✓ Real-time transcription
- ✓ Call centers
- ✓ Meeting notes
Ultra-low latency, Streaming native, Very cheap
Verdict: Cohere Rerank 3.5 vs Deepgram Nova 3
For cost efficiency, Cohere Rerank 3.5 wins at $0.002/search/1M input tokens. For speed, Deepgram Nova 3 is faster at ~100ms. Cohere Rerank 3.5 excels at Search reranking while Deepgram Nova 3 is better for Real-time transcription. 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. Deepgram Nova 3 costs $0.004/min input and N/A output. Cohere Rerank 3.5 is 2.0x 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. Deepgram Nova 3 offers Streaming context at ~100ms. Both have identical context windows.
Best For
Cohere Rerank 3.5 (Reranking) is optimized for: Search reranking, RAG improvement, Result quality. Deepgram Nova 3 (Speech) works best for: Real-time transcription, Call centers, Meeting notes.
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 Deepgram Nova 3
response_b = client.chat.completions.create(
model="deepgram-nova-3",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Cohere Rerank 3.5 or Deepgram Nova 3?
Cohere Rerank 3.5 (Reranking, ~600M) offers Higher quality. Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Choose Cohere Rerank 3.5 for Search reranking or Deepgram Nova 3 for Real-time transcription.
How much does Cohere Rerank 3.5 cost vs Deepgram Nova 3?
Cohere Rerank 3.5: $0.002/search/1M input, N/A/1M output. Deepgram Nova 3: $0.004/min/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 Cohere Rerank 3.5 and Deepgram Nova 3 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.