Vedika Astro Agent vs Llama 3.2 11B Vision

Compare Vedika Astro Agent 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

All Meta models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Astro Agent Llama 3.2 11B Vision
CategoryAgentVision
ParametersMulti-model11B
Context Window256K128K
Input Price$0.08/1M tokens$0.02/1M tokens
Output Price$0.15/1M tokens$0.04/1M tokens
Latency~1000ms~200ms

Choose Vedika Astro Agent when:

  • ✓ Full astrology Q&A
  • ✓ Chart analysis
  • ✓ Report generation
Key Strengths:

Multi-step reasoning, Built-in calculations, Auto-citation

Choose Llama 3.2 11B Vision when:

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

Low cost vision, Fast, Compact

Verdict: Vedika Astro Agent vs Llama 3.2 11B Vision

For cost efficiency, Llama 3.2 11B Vision wins at $0.02/1M input tokens. For speed, Vedika Astro Agent is faster at ~1000ms. Vedika Astro Agent excels at Full astrology Q&A 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 Astro Agent costs $0.08/1M input tokens and $0.15/1M output tokens. Llama 3.2 11B Vision costs $0.02 input and $0.04 output. Llama 3.2 11B Vision is 4.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Astro Agent has a 256K context window with ~1000ms latency. Llama 3.2 11B Vision offers 128K context at ~200ms. Vedika Astro Agent has the larger context window.

Best For

Vedika Astro Agent (Agent) is optimized for: Full astrology Q&A, Chart analysis, Report generation. 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 Astro Agent
response_a = client.chat.completions.create(
    model="vedika-astro-agent",
    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 Astro Agent or Llama 3.2 11B Vision?

Vedika Astro Agent (Agent, Multi-model) offers Multi-step reasoning. Llama 3.2 11B Vision (Vision, 11B) offers Low cost vision. Choose Vedika Astro Agent for Full astrology Q&A or Llama 3.2 11B Vision for Image classification.

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

Vedika Astro Agent: $0.08/1M input, $0.15/1M 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 Astro Agent 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.