Cohere Embed v4 vs Amazon Nova Micro
Compare Cohere Embed v4 and Amazon Nova Micro: 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 Micro |
|---|---|---|
| Category | Embedding | Compact |
| Parameters | ~400M | ~8B |
| Context Window | 128K | 128K |
| Input Price | $0.001/1M tokens | $0.001/1M tokens |
| Output Price | N/A/1M tokens | $0.004/1M tokens |
| Latency | ~15ms | ~50ms |
Choose Cohere Embed v4 when:
- ✓ Long document RAG
- ✓ Multimodal search
- ✓ Large knowledge bases
128K context, Multimodal embedding, Matryoshka
Choose Amazon Nova Micro when:
- ✓ Classification
- ✓ Intent detection
- ✓ Preprocessing
Cheapest inference, Ultra-fast, Text-only
Verdict: Cohere Embed v4 vs Amazon Nova Micro
For cost efficiency, Amazon Nova Micro 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 Micro is better for Classification. 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 Micro costs $0.001 input and $0.004 output. Both models are similarly priced. 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 Micro offers 128K context at ~50ms. Both have identical context windows.
Best For
Cohere Embed v4 (Embedding) is optimized for: Long document RAG, Multimodal search, Large knowledge bases. Amazon Nova Micro (Compact) works best for: Classification, Intent detection, Preprocessing.
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 Micro
response_b = client.chat.completions.create(
model="amazon-nova-micro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Cohere Embed v4 or Amazon Nova Micro?
Cohere Embed v4 (Embedding, ~400M) offers 128K context. Amazon Nova Micro (Compact, ~8B) offers Cheapest inference. Choose Cohere Embed v4 for Long document RAG or Amazon Nova Micro for Classification.
How much does Cohere Embed v4 cost vs Amazon Nova Micro?
Cohere Embed v4: $0.001/1M input, N/A/1M output. Amazon Nova Micro: $0.001/1M input, $0.004/1M 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 Micro 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.