Jamba 1.5 Large vs Cohere Embed v4
Compare Jamba 1.5 Large and Cohere Embed v4: 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 | Jamba 1.5 Large | Cohere Embed v4 |
|---|---|---|
| Category | Enterprise | Embedding |
| Parameters | 398B (94B active) | ~400M |
| Context Window | 256K | 128K |
| Input Price | $0.08/1M tokens | $0.001/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~15ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Cohere Embed v4 when:
- ✓ Long document RAG
- ✓ Multimodal search
- ✓ Large knowledge bases
128K context, Multimodal embedding, Matryoshka
Verdict: Jamba 1.5 Large vs Cohere Embed v4
For cost efficiency, Cohere Embed v4 wins at $0.001/1M input tokens. For speed, Cohere Embed v4 is faster at ~15ms. Jamba 1.5 Large excels at Full text processing while Cohere Embed v4 is better for Long document RAG. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. Cohere Embed v4 costs $0.001 input and N/A output. Cohere Embed v4 is 80.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Jamba 1.5 Large has a 256K context window with ~500ms latency. Cohere Embed v4 offers 128K context at ~15ms. Jamba 1.5 Large has the larger context window.
Best For
Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. Cohere Embed v4 (Embedding) works best for: Long document RAG, Multimodal search, Large knowledge bases.
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 Jamba 1.5 Large
response_a = client.chat.completions.create(
model="jamba-1-5-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Cohere Embed v4
response_b = client.chat.completions.create(
model="embed-v4",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Cohere Embed v4?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Cohere Embed v4 (Embedding, ~400M) offers 128K context. Choose Jamba 1.5 Large for Full text processing or Cohere Embed v4 for Long document RAG.
How much does Jamba 1.5 Large cost vs Cohere Embed v4?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Cohere Embed v4: $0.001/1M 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 Jamba 1.5 Large and Cohere Embed v4 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.