Jamba 1.5 Large vs Arctic Large
Compare Jamba 1.5 Large and Arctic 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 | Jamba 1.5 Large | Arctic Large |
|---|---|---|
| Category | Enterprise | Enterprise |
| Parameters | 398B (94B active) | 480B (17B active) |
| Context Window | 256K | 128K |
| Input Price | $0.08/1M tokens | $0.06/1M 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 Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Verdict: Jamba 1.5 Large vs Arctic Large
For cost efficiency, Arctic Large wins at $0.06/1M input tokens. For speed, Arctic Large is faster at ~400ms. Jamba 1.5 Large excels at Full text processing while Arctic Large is better for Data analysis. 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. Arctic Large costs $0.06 input and $0.10 output. Arctic Large is 1.3x 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. Arctic Large offers 128K 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. Arctic Large (Enterprise) works best for: Data analysis, SQL generation, Business intelligence.
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 Arctic Large
response_b = client.chat.completions.create(
model="arctic-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Arctic Large?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose Jamba 1.5 Large for Full text processing or Arctic Large for Data analysis.
How much does Jamba 1.5 Large cost vs Arctic Large?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Arctic Large: $0.06/1M 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 Arctic 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.