Vedika Standard vs Llama 3.2 90B Vision

Compare Vedika Standard and Llama 3.2 90B 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 Llama 3.2 90B Vision
CategoryDomain SpecialistVision
Parameters120B90B
Context Window128K128K
Input Price$0.06/1M tokens$0.06/1M tokens
Output Price$0.10/1M tokens$0.10/1M 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 Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Verdict: Vedika Standard vs Llama 3.2 90B Vision

For cost efficiency, Llama 3.2 90B Vision wins at $0.06/1M input tokens. For speed, Vedika Standard is faster at ~400ms. Vedika Standard excels at Astrology chatbots while Llama 3.2 90B 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. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Standard has a 128K context window with ~400ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Both have identical context windows.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. Llama 3.2 90B Vision (Vision) works best for: Chart image analysis, Document scanning, Visual Q&A.

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 Llama 3.2 90B Vision
response_b = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Standard or Llama 3.2 90B Vision?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Vedika Standard for Astrology chatbots or Llama 3.2 90B Vision for Chart image analysis.

How much does Vedika Standard cost vs Llama 3.2 90B Vision?

Vedika Standard: $0.06/1M input, $0.10/1M output. Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M 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 Llama 3.2 90B 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.