o1-provs o3 Deep Research
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Equal
o1-pro: 200K
o3 Deep Research: 200K
Cost Efficiency
Higher Cost
Prompt: $150.00M vs $10.00M
Completion: $600.00M vs $40.00M
Capabilities
o1-pro
Modality: text+image->text
Inputs: text, image, file
o3 Deep Research
Modality: text+image->text
Inputs: image, text, file
O
o1-pro
openai/o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more ...
Context Length200K
Prompt Price$150.00M
ReleasedMarch 19, 2025
Supports:
text+image->textO
o3 Deep Research
openai/o3-deep-research
o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the...
Context Length200K
Prompt Price$10.00M
ReleasedOctober 10, 2025
Supports:
text+image->textDetailed Comparison
| Feature | | |
|---|---|---|
| Context Length | 200K | 200K |
| Prompt Price | $150.00M | $10.00M |
| Completion Price | $600.00M | $40.00M |
| Modality | text+image->text | text+image->text |
| Release Date | March 19, 2025 | October 10, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between o1-pro and o3 Deep Research. o3 Deep Research offers a larger context window of 200K compared to o1-pro's 200K, though o1-pro comes at a higher cost.
o1-pro Strengths
- •Competitive context size (200K)
- •Premium pricing for high-quality output
- •Multimodal capabilities for image analysis
- •Proven and stable model
o3 Deep Research Strengths
- •Competitive context size (200K)
- •More cost-effective per token
- •Multimodal capabilities for image analysis
- •Latest generation model
When to Use Each Model
Choose o1-pro when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is not the primary concern in your use case
- • Working with images and text that benefit from deep analysis
Choose o3 Deep Research when:
- • You need competitive context capability for long-form content
- • Cost efficiency is important for your budget
- • Working with images and text that require advanced processing
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