Vedika Standard vs Llama 3.2 11B Vision

Compare Vedika Standard and Llama 3.2 11B 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 11B Vision
CategoryDomain SpecialistVision
Parameters120B11B
Context Window128K128K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.04/1M tokens
Latency~400ms~200ms

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 11B Vision when:

  • ✓ Image classification
  • ✓ OCR
  • ✓ Simple visual Q&A
Key Strengths:

Low cost vision, Fast, Compact

Verdict: Vedika Standard vs Llama 3.2 11B Vision

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Vedika Standard excels at Astrology chatbots while Llama 3.2 11B Vision is better for Image classification. 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 11B Vision costs $0.02 input and $0.04 output. Llama 3.2 11B Vision 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. Llama 3.2 11B Vision offers 128K context at ~200ms. Both have identical context windows.

Best For

Vedika Standard (Domain Specialist) is optimized for: Astrology chatbots, Temple content, Devotional Q&A. Llama 3.2 11B Vision (Vision) works best for: Image classification, OCR, Simple 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 11B Vision
response_b = client.chat.completions.create(
    model="llama-3-2-11b-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 11B Vision?

Vedika Standard (Domain Specialist, 120B) offers 14 Indian languages native. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Vedika Standard for Astrology chatbots or Llama 3.2 11B Vision for Image classification.

How much does Vedika Standard cost vs Llama 3.2 11B Vision?

Vedika Standard: $0.06/1M input, $0.10/1M output. Llama 3.2 11B Vision: $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 Llama 3.2 11B 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.