Cohere Embed v4 vs Amazon Nova Pro
Compare Cohere Embed v4 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 Embed v4 | Amazon Nova Pro |
|---|---|---|
| Category | Embedding | Frontier |
| Parameters | ~400M | ~300B |
| Context Window | 128K | 300K |
| Input Price | $0.001/1M tokens | $0.008/1M tokens |
| Output Price | N/A/1M tokens | $0.032/1M tokens |
| Latency | ~15ms | ~300ms |
Choose Cohere Embed v4 when:
- ✓ Long document RAG
- ✓ Multimodal search
- ✓ Large knowledge bases
128K context, Multimodal embedding, Matryoshka
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Verdict: Cohere Embed v4 vs Amazon Nova Pro
For cost efficiency, Cohere Embed v4 wins at $0.001/1M input tokens. For speed, Cohere Embed v4 is faster at ~15ms. Cohere Embed v4 excels at Long document RAG 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 Embed v4 costs $0.001/1M input tokens and N/A/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Cohere Embed v4 is 8.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Cohere Embed v4 has a 128K context window with ~15ms latency. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.
Best For
Cohere Embed v4 (Embedding) is optimized for: Long document RAG, Multimodal search, Large knowledge bases. 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 Embed v4
response_a = client.chat.completions.create(
model="embed-v4",
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 Embed v4 or Amazon Nova Pro?
Cohere Embed v4 (Embedding, ~400M) offers 128K context. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Cohere Embed v4 for Long document RAG or Amazon Nova Pro for Budget apps.
How much does Cohere Embed v4 cost vs Amazon Nova Pro?
Cohere Embed v4: $0.001/1M 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 Embed v4 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.