SD 3.5 Large vs Jamba 1.5 Mini
Compare SD 3.5 Large and Jamba 1.5 Mini: 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 Mini |
|---|---|---|
| Category | Image | Compact |
| Parameters | 8B | 52B (12B active) |
| Context Window | N/A | 256K |
| Input Price | $0.004/image/1M tokens | $0.02/1M tokens |
| Output Price | N/A/1M tokens | $0.04/1M tokens |
| Latency | ~3s | ~200ms |
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Choose Jamba 1.5 Mini when:
- ✓ Long document Q&A
- ✓ Budget apps
- ✓ Summarization
256K context, Low cost, SSM efficiency
Verdict: SD 3.5 Large vs Jamba 1.5 Mini
For cost efficiency, SD 3.5 Large wins at $0.004/image/1M input tokens. For speed, Jamba 1.5 Mini is faster at ~200ms. SD 3.5 Large excels at Detailed illustrations while Jamba 1.5 Mini is better for Long document Q&A. 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 Mini costs $0.02 input and $0.04 output. SD 3.5 Large is 5.0x 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 Mini offers 256K context at ~200ms. Jamba 1.5 Mini has the larger context window.
Best For
SD 3.5 Large (Image) is optimized for: Detailed illustrations, Temple artwork, Marketing imagery. Jamba 1.5 Mini (Compact) works best for: Long document Q&A, Budget apps, Summarization.
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 Mini
response_b = client.chat.completions.create(
model="jamba-1-5-mini",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, SD 3.5 Large or Jamba 1.5 Mini?
SD 3.5 Large (Image, 8B) offers High quality. Jamba 1.5 Mini (Compact, 52B (12B active)) offers 256K context. Choose SD 3.5 Large for Detailed illustrations or Jamba 1.5 Mini for Long document Q&A.
How much does SD 3.5 Large cost vs Jamba 1.5 Mini?
SD 3.5 Large: $0.004/image/1M input, N/A/1M output. Jamba 1.5 Mini: $0.02/1M input, $0.04/1M 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 Mini 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.