SD 3.5 Large vs Jamba 1.5 Large
Compare SD 3.5 Large 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 | SD 3.5 Large | Jamba 1.5 Large |
|---|---|---|
| Category | Image | Enterprise |
| Parameters | 8B | 398B (94B active) |
| Context Window | N/A | 256K |
| Input Price | $0.004/image/1M tokens | $0.08/1M tokens |
| Output Price | N/A/1M tokens | $0.14/1M tokens |
| Latency | ~3s | ~500ms |
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Choose Jamba 1.5 Large when:
- ✓ Full text processing
- ✓ Comprehensive reports
- ✓ Long analysis
256K context, SSM-Transformer hybrid, Good summarization
Verdict: SD 3.5 Large vs Jamba 1.5 Large
For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, SD 3.5 Large is faster at ~3s. SD 3.5 Large excels at Detailed illustrations 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
SD 3.5 Large costs $0.004/image/1M input tokens and N/A/1M output tokens. Jamba 1.5 Large costs $0.08 input and $0.14 output. SD 3.5 Large is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
SD 3.5 Large has a N/A context window with ~3s latency. Jamba 1.5 Large offers 256K context at ~500ms. Jamba 1.5 Large has the larger context window.
Best For
SD 3.5 Large (Image) is optimized for: Detailed illustrations, Temple artwork, Marketing imagery. 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 SD 3.5 Large
response_a = client.chat.completions.create(
model="stable-diffusion-3-5-large",
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, SD 3.5 Large or Jamba 1.5 Large?
SD 3.5 Large (Image, 8B) offers High quality. Jamba 1.5 Large (Enterprise, 398B (94B active)) offers 256K context. Choose SD 3.5 Large for Detailed illustrations or Jamba 1.5 Large for Full text processing.
How much does SD 3.5 Large cost vs Jamba 1.5 Large?
SD 3.5 Large: $0.004/image/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 SD 3.5 Large 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.