Vedika Seva Voice vs Llama 3.2 11B Vision

Compare Vedika Seva Voice 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 Seva Voice Llama 3.2 11B Vision
CategoryVoiceVision
ParametersPipeline11B
Context Window30s128K
Input Price$0.015/min/1M tokens$0.02/1M tokens
Output Price$0.02/min/1M tokens$0.04/1M tokens
Latency~300ms~200ms

Choose Vedika Seva Voice when:

  • ✓ Booking confirmations
  • ✓ Queue updates
  • ✓ Service info
Key Strengths:

Clear diction, Service-oriented, Fast response

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Verdict: Vedika Seva Voice vs Llama 3.2 11B Vision

For cost efficiency, Vedika Seva Voice wins at $0.015/min/1M input tokens. For speed, Llama 3.2 11B Vision is faster at ~200ms. Vedika Seva Voice excels at Booking confirmations 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 Seva Voice costs $0.015/min/1M input tokens and $0.02/min/1M output tokens. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Vedika Seva Voice is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Seva Voice has a 30s context window with ~300ms latency. Llama 3.2 11B Vision offers 128K context at ~200ms. Llama 3.2 11B Vision has the larger context window.

Best For

Vedika Seva Voice (Voice) is optimized for: Booking confirmations, Queue updates, Service info. 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 Seva Voice
response_a = client.chat.completions.create(
    model="vedika-seva-voice",
    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"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Vedika Seva Voice or Llama 3.2 11B Vision?

Vedika Seva Voice (Voice, Pipeline) offers Clear diction. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Vedika Seva Voice for Booking confirmations or Llama 3.2 11B Vision for Image classification.

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

Vedika Seva Voice: $0.015/min/1M input, $0.02/min/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 Seva Voice 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.