o1-pro vs o4 Mini
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for o1-pro and o4 Mini.
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 compute to think harder and provide...
o4 Mini
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Technical Specifications
| Specification | o1-pro | o4 Mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 200,000 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-03-19 | 2025-04-16 |
API Pricing Comparison
Input Price per Million Tokens
o1-pro
$150.00
o4 Mini
$1.10
Output Price per Million Tokens
o1-pro
$600.00
o4 Mini
$4.40
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
o1-pro Quirks & Gotchas
No developer gotchas reported.
o4 Mini Quirks & Gotchas
No developer gotchas reported.