Vedika Vision vs Llama 3.2 90B Vision

Compare Vedika Vision 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 Vision Llama 3.2 90B Vision
CategoryVisionVision
Parameters26B90B
Context Window32K128K
Input Price$0.08/1M tokens$0.06/1M tokens
Output Price$0.12/1M tokens$0.10/1M tokens
Latency~500ms~500ms

Choose Vedika Vision when:

  • ✓ Chart image analysis
  • ✓ Temple photo description
  • ✓ Vastu photo analysis
Key Strengths:

Chart image analysis, Yantra recognition, Sacred geometry

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 Vision vs Llama 3.2 90B Vision

For cost efficiency, Llama 3.2 90B Vision wins at $0.06/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Vedika Vision excels at Chart image analysis 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 Vision costs $0.08/1M input tokens and $0.12/1M output tokens. Llama 3.2 90B Vision costs $0.06 input and $0.10 output. Llama 3.2 90B Vision is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Vedika Vision has a 32K context window with ~500ms latency. Llama 3.2 90B Vision offers 128K context at ~500ms. Llama 3.2 90B Vision has the larger context window.

Best For

Vedika Vision (Vision) is optimized for: Chart image analysis, Temple photo description, Vastu photo analysis. 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 Vision
response_a = client.chat.completions.create(
    model="vedika-vision",
    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 Vision or Llama 3.2 90B Vision?

Vedika Vision (Vision, 26B) offers Chart image analysis. Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Choose Vedika Vision for Chart image analysis or Llama 3.2 90B Vision for Chart image analysis.

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

Vedika Vision: $0.08/1M input, $0.12/1M 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 Vision 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.