Vedika Content Agent vs Llama 3.2 90B Vision

Compare Vedika Content Agent 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

All Meta models What is an LLM API? Python Quickstart What is inference?
Feature Vedika Content Agent Llama 3.2 90B Vision
CategoryAgentVision
ParametersMulti-model90B
Context Window128K128K
Input Price$0.05/1M tokens$0.06/1M tokens
Output Price$0.08/1M tokens$0.10/1M tokens
Latency~600ms~500ms

Choose Vedika Content Agent when:

  • ✓ Blog content
  • ✓ Social media posts
  • ✓ Newsletter content
Key Strengths:

Domain-aware content, SEO optimized, 14 language output

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 Content Agent vs Llama 3.2 90B Vision

For cost efficiency, Vedika Content Agent wins at $0.05/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Vedika Content Agent excels at Blog content 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 Content Agent costs $0.05/1M input tokens and $0.08/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Vedika Content Agent is 1.2x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Content Agent has a 128K context window with ~600ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Both have identical context windows.

Best For

Vedika Content Agent (Agent) is optimized for: Blog content, Social media posts, Newsletter content. 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 Content Agent
response_a = client.chat.completions.create(
    model="vedika-content-agent",
    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 Content Agent or Llama 3.2 90B Vision?

Vedika Content Agent (Agent, Multi-model) offers Domain-aware content. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Vedika Content Agent for Blog content or Llama 3.2 90B Vision for Chart image analysis.

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

Vedika Content Agent: $0.05/1M input, $0.08/1M 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 Content Agent 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.