Vedika Fast vs Llama 3.2 11B Vision

Compare Vedika Fast 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 Fast Llama 3.2 11B Vision
CategoryDomain SpecialistVision
Parameters8B11B
Context Window32K128K
Input Price$0.04/1M tokens$0.02/1M tokens
Output Price$0.06/1M tokens$0.04/1M tokens
Latency~120ms~200ms

Choose Vedika Fast when:

  • ✓ Voice astrology bots
  • ✓ Real-time chatbots
  • ✓ Temple kiosks
Key Strengths:

Sub-200ms latency, Voice-optimized, Real-time chat

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Verdict: Vedika Fast vs Llama 3.2 11B Vision

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Vedika Fast is faster at ~120ms. Vedika Fast excels at Voice astrology bots 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 Fast costs $0.04/1M input tokens and $0.06/1M output tokens. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Llama 3.2 11B Vision is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Fast has a 32K context window with ~120ms latency. Llama 3.2 11B Vision offers 128K context at ~200ms. Llama 3.2 11B Vision has the larger context window.

Best For

Vedika Fast (Domain Specialist) is optimized for: Voice astrology bots, Real-time chatbots, Temple kiosks. 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 Fast
response_a = client.chat.completions.create(
    model="vedika-fast",
    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 Fast or Llama 3.2 11B Vision?

Vedika Fast (Domain Specialist, 8B) offers Sub-200ms latency. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Vedika Fast for Voice astrology bots or Llama 3.2 11B Vision for Image classification.

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

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