Jamba 1.5 Large vs Amazon Titan Premier
Compare Jamba 1.5 Large and Amazon Titan Premier: 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 Titan Premier |
|---|---|---|
| Category | Enterprise | Enterprise |
| Parameters | 398B (94B active) | ~100B |
| Context Window | 256K | 32K |
| Input Price | $0.08/1M tokens | $0.05/1M tokens |
| Output Price | $0.14/1M tokens | $0.10/1M tokens |
| Latency | ~500ms | ~400ms |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Amazon Titan Premier when:
- ✓ Enterprise apps
- ✓ AWS integration
- ✓ Secure workloads
AWS native, Enterprise security, Good quality
Verdict: Jamba 1.5 Large vs Amazon Titan Premier
For cost efficiency, Amazon Titan Premier wins at $0.05/1M input tokens. For speed, Amazon Titan Premier is faster at ~400ms. Jamba 1.5 Large excels at Full text processing while Amazon Titan Premier is better for Enterprise 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 Titan Premier costs $0.05 input and $0.10 output. Amazon Titan Premier is 1.6x 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 Titan Premier offers 32K context at ~400ms. 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. Amazon Titan Premier (Enterprise) works best for: Enterprise apps, AWS integration, Secure workloads.
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 Titan Premier
response_b = client.chat.completions.create(
model="amazon-titan-text-premier",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Amazon Titan Premier?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Amazon Titan Premier (Enterprise, ~100B) offers AWS native. Choose Jamba 1.5 Large for Full text processing or Amazon Titan Premier for Enterprise apps.
How much does Jamba 1.5 Large cost vs Amazon Titan Premier?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Amazon Titan Premier: $0.05/1M input, $0.10/1M 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 Titan Premier 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.