Vedika Standard vs Vedika Vision

Compare Vedika Standard 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

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Feature Vedika Standard Vedika Vision
CategoryDomain SpecialistVision
Parameters120B26B
Context Window128K32K
Input Price$0.06/1M tokens$0.08/1M tokens
Output Price$0.10/1M tokens$0.12/1M tokens
Latency~400ms~500ms

Choose Vedika Standard when:

  • ✓ Astrology chatbots
  • ✓ Temple content
  • ✓ Devotional Q&A
Key Strengths:

14 Indian languages native, 131 computed yogas, Classical text citations

Choose Vedika Vision when:

  • ✓ Chart image analysis
  • ✓ Temple photo description
  • ✓ Vastu photo analysis
Key Strengths:

Chart image analysis, Yantra recognition, Sacred geometry

Verdict: Vedika Standard vs Vedika Vision

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 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 Standard costs $0.06/1M input tokens and $0.10/1M output tokens. Vedika Vision costs $0.08 input and $0.12 output. Vedika Standard is 1.3x 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 Vision offers 32K context at ~500ms. Vedika Standard has the larger context window.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. 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 Standard
response_a = client.chat.completions.create(
    model="vedika-standard",
    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"}]
)

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Frequently Asked Questions

Which is better, Vedika Standard or Vedika Vision?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Vedika Vision (Vision, 26B) offers Chart image analysis. Choose Vedika Standard for Astrology chatbots or Vedika Vision for Chart image analysis.

How much does Vedika Standard cost vs Vedika Vision?

Vedika Standard: $0.06/1M input, $0.10/1M 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 Standard 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.