Nomic Embed Text v1.5 vs Jamba 1.5 Large
Compare Nomic Embed Text v1.5 and Jamba 1.5 Large: 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 | Nomic Embed Text v1.5 | Jamba 1.5 Large |
|---|---|---|
| Category | Embedding | Enterprise |
| Parameters | 137M | 398B (94B active) |
| Context Window | 8K | 256K |
| Input Price | $0.001/1M tokens | $0.08/1M tokens |
| Output Price | N/A/1M tokens | $0.14/1M tokens |
| Latency | ~10ms | ~500ms |
Choose Nomic Embed Text v1.5 when:
- ✓ Long document embedding
- ✓ Semantic search
- ✓ Clustering
8K context, Very low cost, Fast
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: Nomic Embed Text v1.5 vs Jamba 1.5 Large
For cost efficiency, Nomic Embed Text v1.5 wins at $0.001/1M input tokens. For speed, Nomic Embed Text v1.5 is faster at ~10ms. Nomic Embed Text v1.5 excels at Long document embedding while Jamba 1.5 Large is better for Full text processing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Nomic Embed Text v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. Nomic Embed Text v1.5 is 80.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Nomic Embed Text v1.5 has a 8K context window with ~10ms latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
Nomic Embed Text v1.5 (Embedding) is optimized for: Long document embedding, Semantic search, Clustering. Jamba 1.5 Large (Enterprise) works best for: Full text processing, Comprehensive reports, Long analysis.
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 Nomic Embed Text v1.5
response_a = client.chat.completions.create(
model="nomic-embed-text-v1-5",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Jamba 1.5 Large
response_b = client.chat.completions.create(
model="jamba-1-5-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Nomic Embed Text v1.5 or Jamba 1.5 Large?
Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose Nomic Embed Text v1.5 for Long document embedding or Jamba 1.5 Large for Full text processing.
How much does Nomic Embed Text v1.5 cost vs Jamba 1.5 Large?
Nomic Embed Text v1.5: $0.001/1M input, N/A/1M output. Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Nomic Embed Text v1.5 and Jamba 1.5 Large 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.