Vedika Pro Ultra vs Solar Pro
Compare Vedika Pro Ultra and Solar Pro: 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 | Solar Pro |
|---|---|---|
| Category | Domain Specialist | Open Source |
| Parameters | 120B | 22B |
| Context Window | 256K | 32K |
| Input Price | $0.12/1M tokens | $0.02/1M tokens |
| Output Price | $0.20/1M tokens | $0.04/1M tokens |
| Latency | ~600ms | ~180ms |
Choose Vedika Pro Ultra when:
- ✓ Kundali matching reports
- ✓ Multi-chart analysis
- ✓ Enterprise platforms
256K context, Deep yoga reasoning, Multi-system comparison
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Verdict: Vedika Pro Ultra vs Solar Pro
For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Vedika Pro Ultra excels at Kundali matching reports while Solar Pro is better for General purpose. 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. Solar Pro costs $0.02 input and $0.04 output. Solar Pro is 6.0x 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. Solar Pro offers 32K context at ~180ms. 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. Solar Pro (Open Source) works best for: General purpose, Korean content, Chatbots.
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 Solar Pro
response_b = client.chat.completions.create(
model="solar-pro",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Vedika Pro Ultra or Solar Pro?
Vedika Pro Ultra (Domain Specialist, 120B) offers 256K context. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Vedika Pro Ultra for Kundali matching reports or Solar Pro for General purpose.
How much does Vedika Pro Ultra cost vs Solar Pro?
Vedika Pro Ultra: $0.12/1M input, $0.20/1M output. Solar Pro: $0.02/1M input, $0.04/1M 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 Solar Pro 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.