Vedika Standard vs Solar Pro
Compare Vedika Standard 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 Standard | Solar Pro |
|---|---|---|
| Category | Domain Specialist | Open Source |
| Parameters | 120B | 22B |
| Context Window | 128K | 32K |
| Input Price | $0.06/1M tokens | $0.02/1M tokens |
| Output Price | $0.10/1M tokens | $0.04/1M tokens |
| Latency | ~400ms | ~180ms |
Choose Vedika Standard when:
- ✓ Astrology chatbots
- ✓ Temple content
- ✓ Devotional Q&A
14 Indian languages native, 131 computed yogas, Classical text citations
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Verdict: Vedika Standard vs Solar Pro
For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Vedika Standard excels at Astrology chatbots 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. Solar Pro costs $0.02 input and $0.04 output. Solar Pro is 3.0x 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. Solar Pro offers 32K context at ~180ms. Vedika Standard has the larger context window.
Best For
Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. 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 Standard
response_a = client.chat.completions.create(
model="vedika-standard",
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 Standard or Solar Pro?
Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Vedika Standard for Astrology chatbots or Solar Pro for General purpose.
How much does Vedika Standard cost vs Solar Pro?
Vedika Standard: $0.06/1M input, $0.10/1M 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 Standard 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.