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Model Comparison

Llama 3.2 90B Vision vs Perplexity Sonar

Which AI model is right for you?

Compare Llama 3.2 90B Vision and Perplexity Sonar across reasoning, speed, writing, coding, and cost. Find the best fit for your workflow or let ARKAbrain choose automatically.

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Quick Verdict

Choose Llama 3.2 90B Vision for:

  • Image analysis
  • Visual Q&A
  • Document understanding
  • Multimodal tasks

Meta's multimodal Llama with image understanding capabilities.

Choose Perplexity Sonar for:

  • Research
  • Fact-checking
  • Current events
  • Citation-needed work

Perplexity's search-optimized model with real-time web access.

Head-to-Head Comparison

Llama 3.2 90B Vision

Reasoning
Excellent
Speed
Moderate
Writing
Good
Coding
Good
Cost Efficiency
Good

Perplexity Sonar

Reasoning
Good
Speed
Moderate
Writing
Good
Coding
Moderate
Cost Efficiency
Good

Ratings are qualitative assessments based on general capabilities. Actual performance may vary by task and context.

When to Use Llama 3.2 90B Vision

Llama 3.2 90B Vision is Meta's first multimodal open model, capable of understanding images alongside text. It brings vision capabilities to the open-source ecosystem.

Strengths

  • Image understanding
  • Open weights
  • Strong reasoning
  • Multimodal native

Considerations

  • Large model size
  • Newer release

When to Use Perplexity Sonar

Perplexity Sonar is built for search and research tasks, with real-time web access to provide up-to-date information with citations.

Strengths

  • Real-time web search
  • Citations included
  • Current information
  • Research-focused

Considerations

  • Search-focused, less general
  • May be slower due to search

How ARKAbrain Decides

Instead of choosing between Llama 3.2 90B Vision and Perplexity Sonar yourself, ARKAbrain analyzes each request to determine the optimal model. Simple tasks route to efficient models. Complex reasoning goes to more capable ones. You get the best results at the best cost—automatically.

Frequently Asked Questions

Common questions about Llama 3.2 90B Vision vs Perplexity Sonar

It depends on your use case. Llama 3.2 90B Vision excels at image analysis and visual q&a, while Perplexity Sonar is better for research and fact-checking. ARKAbrain can automatically select the best model for each request.
Cost-effectiveness depends on your usage patterns. Both models offer competitive pricing. With ARKA-AI's BYOK model, you pay only for actual usage.
Yes! With ARKA-AI, you can add API keys for multiple providers. ARKAbrain automatically routes each request to the optimal model based on the task, so you get the best of both.
Response times vary by task complexity. For simple queries, faster models are selected automatically. For complex reasoning, more thorough models are chosen.
ARKAbrain analyzes your request to determine task complexity, required capabilities, and optimal cost-quality tradeoff. It then routes to the best available model from your configured providers.

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