Llama 3.2 90B Vision vs Perplexity Sonar Pro

Compare Llama 3.2 90B Vision and Perplexity Sonar Pro: 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 Llama 3.2 90B Vision Perplexity Sonar Pro
CategoryVisionSearch
Parameters90B~200B
Context Window128K200K
Input Price$0.06/1M tokens$0.003/1M tokens
Output Price$0.10/1M tokens$0.015/1M tokens
Latency~500ms~600ms

Choose Llama 3.2 90B Vision when:

  • ✓ Chart image analysis
  • ✓ Document scanning
  • ✓ Visual Q&A
Key Strengths:

Vision + language, Open weights, Good reasoning

Choose Perplexity Sonar Pro when:

  • ✓ Research Q&A
  • ✓ Fact-checking
  • ✓ Current events
Key Strengths:

Web-grounded, Auto-citations, Current information

Verdict: Llama 3.2 90B Vision vs Perplexity Sonar Pro

For cost efficiency, Perplexity Sonar Pro wins at $0.003/1M input tokens. For speed, Llama 3.2 90B Vision is faster at ~500ms. Llama 3.2 90B Vision excels at Chart image analysis while Perplexity Sonar Pro is better for Research Q&A. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Llama 3.2 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. Perplexity Sonar Pro costs $0.003 input and $0.015 output. Perplexity Sonar Pro is 20.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Llama 3.2 90B Vision has a 128K context window with ~500ms latency. Perplexity Sonar Pro offers 200K context at ~600ms. Perplexity Sonar Pro has the larger context window.

Best For

Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Perplexity Sonar Pro (Search) works best for: Research Q&A, Fact-checking, Current events.

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 Llama 3.2 90B Vision
response_a = client.chat.completions.create(
    model="llama-3-2-90b-vision",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Perplexity Sonar Pro
response_b = client.chat.completions.create(
    model="perplexity-sonar-pro",
    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, Llama 3.2 90B Vision or Perplexity Sonar Pro?

Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Perplexity Sonar Pro (Search, ~200B) offers Web-grounded. Choose Llama 3.2 90B Vision for Chart image analysis or Perplexity Sonar Pro for Research Q&A.

How much does Llama 3.2 90B Vision cost vs Perplexity Sonar Pro?

Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Perplexity Sonar Pro: $0.003/1M input, $0.015/1M 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 Llama 3.2 90B Vision and Perplexity Sonar Pro 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.