Vedika Code vs Llama 3.2 90B Vision

Compare Vedika Code 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

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Feature Vedika Code Llama 3.2 90B Vision
CategoryCodeVision
Parameters33B90B
Context Window64K128K
Input Price$0.04/1M tokens$0.06/1M tokens
Output Price$0.06/1M tokens$0.10/1M tokens
Latency~250ms~500ms

Choose Vedika Code when:

  • ✓ API integration code
  • ✓ Temple systems
  • ✓ SDK examples
Key Strengths:

Faith-tech code patterns, API integration code, Temple system boilerplate

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 Code vs Llama 3.2 90B Vision

For cost efficiency, Vedika Code wins at $0.04/1M input tokens. For speed, Vedika Code is faster at ~250ms. Vedika Code excels at API integration code 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 Code costs $0.04/1M input tokens and $0.06/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Vedika Code is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Code has a 64K context window with ~250ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Llama 3.2 90B Vision has the larger context window.

Best For

Vedika Code (Code) is optimized for: API integration code, Temple systems, SDK examples. 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 Code
response_a = client.chat.completions.create(
    model="vedika-code",
    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 Code or Llama 3.2 90B Vision?

Vedika Code (Code, 33B) offers Faith-tech code patterns. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Vedika Code for API integration code or Llama 3.2 90B Vision for Chart image analysis.

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

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