GPT-4.1 vs o1
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 GPT-4.1 and o1.
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
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...
Technical Specifications
| Specification | GPT-4.1 | o1 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Agent Suitability | 91/100 | 88/100 |
| Time to First Token (TTFT) | 250 ms | 2500 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-14 | 2024-12-17 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4.1
$2.00
o1
$15.00
Output Price per Million Tokens
GPT-4.1
$8.00
o1
$60.00
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.
GPT-4.1 Quirks & Gotchas
- ▸Strong tool-calling reliability — good migration path from GPT-4o
- ▸Migrate to GPT-5 for larger context window and improved reasoning
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