Vedika Standard vs Vedika Pro Ultra
Compare Vedika Standard and Vedika Pro 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 Standard | Vedika Pro Ultra |
|---|---|---|
| Category | Domain Specialist | Domain Specialist |
| Parameters | 120B | 120B |
| Context Window | 128K | 256K |
| Input Price | $0.06/1M tokens | $0.12/1M tokens |
| Output Price | $0.10/1M tokens | $0.20/1M tokens |
| Latency | ~400ms | ~600ms |
Choose Vedika Standard when:
- ✓ Astrology chatbots
- ✓ Temple content
- ✓ Devotional Q&A
14 Indian languages native, 131 computed yogas, Classical text citations
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Verdict: Vedika Standard vs Vedika Pro Ultra
For cost efficiency, Vedika Standard wins at $0.06/1M input tokens. For speed, Vedika Standard is faster at ~400ms. Vedika Standard excels at Astrology chatbots while Vedika Pro Ultra is better for Kundali matching reports. 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. Vedika Pro Ultra costs $0.12 input and $0.20 output. Vedika Standard is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Vedika Standard has a 128K context window with ~400ms latency. Vedika Pro Ultra offers 256K context at ~600ms. Vedika Pro Ultra has the larger context window.
Best For
Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. Vedika Pro Ultra (Domain Specialist) works best for: Kundali matching reports, Multi-chart analysis, Enterprise platforms.
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 Standard
response_a = client.chat.completions.create(
model="vedika-standard",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Vedika Pro Ultra
response_b = client.chat.completions.create(
model="vedika-pro-ultra",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Standard or Vedika Pro Ultra?
Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Choose Vedika Standard for Astrology chatbots or Vedika Pro Ultra for Kundali matching reports.
How much does Vedika Standard cost vs Vedika Pro Ultra?
Vedika Standard: $0.06/1M input, $0.10/1M output. Vedika Pro Ultra: $0.12/1M input, $0.20/1M 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 Standard and Vedika Pro Ultra 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.