Jamba 1.5 Large vs Amazon Nova Pro
Compare Jamba 1.5 Large 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 | Jamba 1.5 Large | Amazon Nova Pro |
|---|---|---|
| Category | Enterprise | Frontier |
| Parameters | 398B (94B active) | ~300B |
| Context Window | 256K | 300K |
| Input Price | $0.08/1M tokens | $0.008/1M tokens |
| Output Price | $0.14/1M tokens | $0.032/1M tokens |
| Latency | ~500ms | ~300ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Amazon Nova Pro when:
- ✓ Budget apps
- ✓ Document analysis
- ✓ Enterprise
Very low cost, 300K context, Multimodal
Verdict: Jamba 1.5 Large vs Amazon Nova Pro
For cost efficiency, Amazon Nova Pro wins at $0.008/1M input tokens. For speed, Amazon Nova Pro is faster at ~300ms. Jamba 1.5 Large excels at Full text processing 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
Jamba 1.5 Large costs $0.08/1M input tokens and $0.14/1M output tokens. Amazon Nova Pro costs $0.008 input and $0.032 output. Amazon Nova Pro is 10.0x 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. Amazon Nova Pro offers 300K context at ~300ms. Amazon Nova Pro has the larger context window.
Best For
Jamba 1.5 Large (Enterprise) is optimized for: Full text processing, Comprehensive reports, Long analysis. 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 Jamba 1.5 Large
response_a = client.chat.completions.create(
model="jamba-1-5-large",
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, Jamba 1.5 Large or Amazon Nova Pro?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Amazon Nova Pro (Frontier, ~300B) offers Very low cost. Choose Jamba 1.5 Large for Full text processing or Amazon Nova Pro for Budget apps.
How much does Jamba 1.5 Large cost vs Amazon Nova Pro?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M 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 Jamba 1.5 Large and Amazon Nova Pro by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.