Sonar Pro Searchvs
GPT-4
Sonar Pro Search
vsCompare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Better
Sonar Pro Search: 200K (advantage)
GPT-4: 8K (disadvantage)
Cost Efficiency
Lower Cost
Prompt: $3.00M vs $30.00M
Completion: $15.00M vs $60.00M
Capabilities
Sonar Pro Search
Modality: text+image->text
Inputs: text, image
GPT-4
Modality: text->text
Inputs: text
P
Sonar Pro Search
perplexity/sonar-pro-search
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for d...
Context Length200K
Prompt Price$3.00M
ReleasedOctober 30, 2025
Supports:
text+image->textO
GPT-4
openai/gpt-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous mo...
Context Length8K
Prompt Price$30.00M
ReleasedMay 28, 2023
Supports:
text->textDetailed Comparison
| Feature | Sonar Pro Search | |
|---|---|---|
| Context Length | 200K | 8K |
| Prompt Price | $3.00M | $30.00M |
| Completion Price | $15.00M | $60.00M |
| Modality | text+image->text | text->text |
| Release Date | October 30, 2025 | May 28, 2023 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between Sonar Pro Search and GPT-4. Sonar Pro Search offers a larger context window of 200K compared to GPT-4's 8K, though GPT-4 comes at a higher cost.
Sonar Pro Search Strengths
- •Larger context window (200K) for processing longer documents
- •More cost-effective per token
- •Multimodal capabilities for image analysis
- •Latest generation model
GPT-4 Strengths
- •Competitive context size (8K)
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Proven and stable model
When to Use Each Model
Choose Sonar Pro Search when:
- • You need the larger context window for complex tasks
- • Cost efficiency is important in your use case
- • Working with images and text that benefit from deep analysis
Choose GPT-4 when:
- • You need competitive context capability for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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