Vedika Pro Ultra vs SD 3.5 Medium
Compare Vedika Pro Ultra and SD 3.5 Medium: 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 | Vedika Pro Ultra | SD 3.5 Medium |
|---|---|---|
| Category | Domain Specialist | Image |
| Parameters | 120B | 2.5B |
| Context Window | 256K | N/A |
| Input Price | $0.12/1M tokens | $0.003/image/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~2s |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose SD 3.5 Medium when:
- ✓ General imagery
- ✓ Batch generation
- ✓ Prototyping
Good quality, Fast, Open weights
Verdict: Vedika Pro Ultra vs SD 3.5 Medium
For cost efficiency, SD 3.5 Medium wins at $0.003/image/1M input tokens. For speed, SD 3.5 Medium is faster at ~2s. Vedika Pro Ultra excels at Kundali matching reports while SD 3.5 Medium is better for General imagery. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Vedika Pro Ultra costs $0.12/1M input tokens and $0.20/1M output tokens. SD 3.5 Medium costs $0.003/image input and N/A output. SD 3.5 Medium is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Pro Ultra has a 256K context window with ~600ms latency. SD 3.5 Medium offers N/A context at ~2s. Vedika Pro Ultra has the larger context window.
Best For
Vedika Pro Ultra (Domain Specialist) is optimized for: Kundali matching reports, Multi-chart analysis, Enterprise platforms. SD 3.5 Medium (Image) works best for: General imagery, Batch generation, Prototyping.
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 Vedika Pro Ultra
response_a = client.chat.completions.create(
model="vedika-pro-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use SD 3.5 Medium
response_b = client.chat.completions.create(
model="stable-diffusion-3-5-medium",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or SD 3.5 Medium?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. SD 3.5 Medium (Image, 2.5B) offers Good quality. Choose Vedika Pro Ultra for Kundali matching reports or SD 3.5 Medium for General imagery.
How much does Vedika Pro Ultra cost vs SD 3.5 Medium?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. SD 3.5 Medium: $0.003/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 Vedika Pro Ultra and SD 3.5 Medium 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.