Vedika Pro Ultra vs Vedika Vision
Compare Vedika Pro Ultra and Vedika Vision: 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 | Vedika Vision |
|---|---|---|
| Category | Domain Specialist | Vision |
| Parameters | 120B | 26B |
| Context Window | 256K | 32K |
| Input Price | $0.12/1M tokens | $0.08/1M tokens |
| Output Price | $0.20/1M tokens | $0.12/1M tokens |
| Latency | ~600ms | ~500ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Vedika Vision when:
- ✓ Chart image analysis
- ✓ Temple photo description
- ✓ Vastu photo analysis
Chart image analysis, Yantra recognition, Sacred geometry
Verdict: Vedika Pro Ultra vs Vedika Vision
For cost efficiency, Vedika Vision wins at $0.08/1M input tokens. For speed, Vedika Vision is faster at ~500ms. Vedika Pro Ultra excels at Kundali matching reports while Vedika Vision is better for Chart image 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
Vedika Pro Ultra costs $0.12/1M input tokens and $0.20/1M output tokens. Vedika Vision costs $0.08 input and $0.12 output. Vedika Vision is 1.5x 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. Vedika Vision offers 32K context at ~500ms. 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. Vedika Vision (Vision) works best for: Chart image analysis, Temple photo description, Vastu photo analysis.
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 Vedika Vision
response_b = client.chat.completions.create(
model="vedika-vision",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Vedika Vision?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Vedika Vision (Vision, 26B) offers Chart image analysis. Choose Vedika Pro Ultra for Kundali matching reports or Vedika Vision for Chart image analysis.
How much does Vedika Pro Ultra cost vs Vedika Vision?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Vedika Vision: $0.08/1M input, $0.12/1M 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 Vedika Vision 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.