Jamba 1.5 Large vs Stable Image Ultra
Compare Jamba 1.5 Large and Stable Image Ultra: 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 | Stable Image Ultra |
|---|---|---|
| Category | Enterprise | Image |
| Parameters | 398B (94B active) | ~12B |
| Context Window | 256K | N/A |
| Input Price | $0.08/1M tokens | $0.008/image/1M tokens |
| Output Price | $0.14/1M tokens | N/A/1M tokens |
| Latency | ~500ms | ~4s |
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Choose Stable Image Ultra when:
- ✓ Premium photography
- ✓ Marketing
- ✓ Product shoots
Highest quality, Photorealistic, Professional
Verdict: Jamba 1.5 Large vs Stable Image Ultra
For cost efficiency, Stable Image Ultra wins at $0.008/image/1M input tokens. For speed, Stable Image Ultra is faster at ~4s. Jamba 1.5 Large excels at Full text processing while Stable Image Ultra is better for Premium photography. 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. Stable Image Ultra costs $0.008/image input and N/A output. Stable Image Ultra 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. Stable Image Ultra offers N/A context at ~4s. 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. Stable Image Ultra (Image) works best for: Premium photography, Marketing, Product shoots.
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 Stable Image Ultra
response_b = client.chat.completions.create(
model="stable-image-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Jamba 1.5 Large or Stable Image Ultra?
Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Stable Image Ultra (Image, ~12B) offers Highest quality. Choose Jamba 1.5 Large for Full text processing or Stable Image Ultra for Premium photography.
How much does Jamba 1.5 Large cost vs Stable Image Ultra?
Jamba 1.5 Large: $0.08/1M input, $0.14/1M output. Stable Image Ultra: $0.008/image/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 Stable Image Ultra 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.