Vedika Code vs Solar Pro

Compare Vedika Code 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

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Feature Vedika Code Solar Pro
CategoryCodeOpen Source
Parameters33B22B
Context Window64K32K
Input Price$0.04/1M tokens$0.02/1M tokens
Output Price$0.06/1M tokens$0.04/1M tokens
Latency~250ms~180ms

Choose Vedika Code when:

  • ✓ API integration code
  • ✓ Temple systems
  • ✓ SDK examples
Key Strengths:

Faith-tech code patterns, API integration code, Temple system boilerplate

Choose Solar Pro when:

  • ✓ General purpose
  • ✓ Korean content
  • ✓ Chatbots
Key Strengths:

Good instruction following, Compact, Efficient

Verdict: Vedika Code vs Solar Pro

For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Vedika Code excels at API integration code 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 Code costs $0.04/1M input tokens and $0.06/1M output tokens. Solar Pro costs $0.02 input and $0.04 output. Solar Pro is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Code has a 64K context window with ~250ms latency. Solar Pro offers 32K context at ~180ms. Vedika Code has the larger context window.

Best For

Vedika Code (Code) is optimized for: API integration code, Temple systems, SDK examples. 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 Code
response_a = client.chat.completions.create(
    model="vedika-code",
    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"}]
)

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Frequently Asked Questions

Which is better, Vedika Code or Solar Pro?

Vedika Code (Code, 33B) offers Faith-tech code patterns. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Vedika Code for API integration code or Solar Pro for General purpose.

How much does Vedika Code cost vs Solar Pro?

Vedika Code: $0.04/1M input, $0.06/1M 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 Code 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.