o1 vs o4 Mini Deep Research
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 and o4 Mini Deep Research.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | o1 | o4 Mini Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 200,000 tokens | 200,000 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 2500 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
o4 Mini Deep Research
$2.00
Output Price per Million Tokens
o1
$60.00
o4 Mini Deep Research
$8.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.