o3 Deep Research vs Sonar Pro Search (Comparative Analysis)
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Comparative Analysis: o3 Deep Research vs. Sonar Pro Search
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Overview
o3 Deep Research was released 20 days before Sonar Pro Search.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 200K tokens | 200K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 100K tokens | 8K tokens |
Release Date When this model first became publicly available | October 10, 2025 9 months ago October 10th, 2025 | October 30, 2025 9 months ago October 30th, 2025 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
o3 Deep Research | Sonar Pro Search | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text📁File | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Always enabled |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Pricing
o3 Deep Research is roughly 3.3x more expensive compared to Sonar Pro Search for input tokens and roughly 2.7x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $10.00 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $40.00 per million tokens | $15.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | $0.018 per search |
Cache Read Cost Cost to reuse cached input tokens | $2.50 per million tokens | Not specified |
At a Glance
Quick overview of what makes o3 Deep Research and Sonar Pro Search unique.
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