Vedika Pro Ultra vs Stable Image Ultra
Compare Vedika Pro Ultra and Stable Image Ultra: 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 | Stable Image Ultra |
|---|---|---|
| Category | Domain Specialist | Image |
| Parameters | 120B | ~12B |
| Context Window | 256K | N/A |
| Input Price | $0.12/1M tokens | $0.008/image/1M tokens |
| Output Price | $0.20/1M tokens | N/A/1M tokens |
| Latency | ~600ms | ~4s |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Stable Image Ultra when:
- ✓ Premium photography
- ✓ Marketing
- ✓ Product shoots
Highest quality, Photorealistic, Professional
Verdict: Vedika Pro Ultra vs Stable Image Ultra
For cost efficiency, Stable Image Ultra wins at $0.008/image/1M input tokens. For speed, Stable Image Ultra is faster at ~4s. Vedika Pro Ultra excels at Kundali matching reports while Stable Image Ultra is better for Premium photography. 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. Stable Image Ultra costs $0.008/image input and N/A output. Stable Image Ultra is 15.0x 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. Stable Image Ultra offers N/A context at ~4s. 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. Stable Image Ultra (Image) works best for: Premium photography, Marketing, Product shoots.
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 Stable Image Ultra
response_b = client.chat.completions.create(
model="stable-image-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Stable Image Ultra?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Stable Image Ultra (Image, ~12B) offers Highest quality. Choose Vedika Pro Ultra for Kundali matching reports or Stable Image Ultra for Premium photography.
How much does Vedika Pro Ultra cost vs Stable Image Ultra?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Stable Image Ultra: $0.008/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 Stable Image Ultra 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.