SD 3.5 Large vs Arctic Large
Compare SD 3.5 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 | SD 3.5 Large | Arctic Large |
|---|---|---|
| Category | Image | Enterprise |
| Parameters | 8B | 480B (17B active) |
| Context Window | N/A | 128K |
| Input Price | $0.004/image/1M tokens | $0.06/1M tokens |
| Output Price | N/A/1M tokens | $0.10/1M tokens |
| Latency | ~3s | ~400ms |
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Choose Arctic Large when:
- ✓ Data analysis
- ✓ SQL generation
- ✓ Business intelligence
Strong SQL, Data analysis, Enterprise features
Verdict: SD 3.5 Large vs Arctic 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 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
SD 3.5 Large costs $0.004/image/1M input tokens and N/A/1M output tokens. Arctic Large costs $0.06 input and $0.10 output. SD 3.5 Large is 15.0x 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. Arctic Large offers 128K context at ~400ms. Arctic Large has the larger context window.
Best For
SD 3.5 Large (Image) is optimized for: Detailed illustrations, Temple artwork, Marketing imagery. 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 SD 3.5 Large
response_a = client.chat.completions.create(
model="stable-diffusion-3-5-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, SD 3.5 Large or Arctic Large?
SD 3.5 Large (Image, 8B) offers High quality. Arctic Large (Enterprise, 480B (17B active)) offers Strong SQL. Choose SD 3.5 Large for Detailed illustrations or Arctic Large for Data analysis.
How much does SD 3.5 Large cost vs Arctic Large?
SD 3.5 Large: $0.004/image/1M input, N/A/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 SD 3.5 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.