DeepSeek V3.1 vs SD 3.5 Large
Compare DeepSeek V3.1 and SD 3.5 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 | DeepSeek V3.1 | SD 3.5 Large |
|---|---|---|
| Category | Open Source | Image |
| Parameters | 685B (37B active) | 8B |
| Context Window | 128K | N/A |
| Input Price | $0.06/1M tokens | $0.004/image/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~400ms | ~3s |
Choose DeepSeek V3.1 when:
- ✓ Production apps
- ✓ Content generation
- ✓ Multi-language
Improved quality, Better safety, Stronger multilingual
Choose SD 3.5 Large when:
- ✓ Detailed illustrations
- ✓ Temple artwork
- ✓ Marketing imagery
High quality, Detailed output, Good composition
Verdict: DeepSeek V3.1 vs SD 3.5 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. DeepSeek V3.1 excels at Production apps while SD 3.5 Large is better for Detailed illustrations. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
DeepSeek V3.1 costs $0.06/1M input tokens and $0.10/1M output tokens. SD 3.5 Large costs $0.004/image input and N/A output. SD 3.5 Large is 15.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V3.1 has a 128K context window with ~400ms latency. SD 3.5 Large offers N/A context at ~3s. DeepSeek V3.1 has the larger context window.
Best For
DeepSeek V3.1 (Open Source) is optimized for: Production apps, Content generation, Multi-language. SD 3.5 Large (Image) works best for: Detailed illustrations, Temple artwork, Marketing imagery.
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 DeepSeek V3.1
response_a = client.chat.completions.create(
model="deepseek-v3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use SD 3.5 Large
response_b = client.chat.completions.create(
model="stable-diffusion-3-5-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V3.1 or SD 3.5 Large?
DeepSeek V3.1 (Open Source, 685B (37B active)) offers Improved quality. SD 3.5 Large (Image, 8B) offers High quality. Choose DeepSeek V3.1 for Production apps or SD 3.5 Large for Detailed illustrations.
How much does DeepSeek V3.1 cost vs SD 3.5 Large?
DeepSeek V3.1: $0.06/1M input, $0.10/1M output. SD 3.5 Large: $0.004/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 DeepSeek V3.1 and SD 3.5 Large by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.