o1 (Dec 2024)
o1 (Dec 2024) is the December 2024 production release of OpenAI's o1 reasoning model, which uses internal chain-of-thought to spend more compute thinking through problems before responding. This release refined the model's performance on mathematics, formal reasoning, and competitive programming relative to earlier o1 previews, and added support for vision inputs alongside text.
Unlike standard GPT models, o1 is designed for problems where careful step-by-step reasoning improves accuracy — proofs, algorithm design, complex data analysis, and multi-stage logic puzzles. Responses take longer and cost more than GPT-4o, reflecting the additional reasoning tokens consumed internally before the final answer is returned.
Key Features
Internal chain-of-thought reasoning before producing a final response
Strong performance on mathematics, formal logic, and competitive coding
Vision input support for multimodal reasoning tasks
200k-token context window for large codebases and documents
Better calibration on difficult multi-step problems than standard GPT models
Function calling and structured outputs for integration into workflows
Ideal Use Cases
Solving complex math problems, proofs, and formal derivations
Algorithm design and optimization challenges
Scientific data analysis requiring careful multi-step inference
Code generation for non-trivial algorithmic problems and competitive programming
Example Prompts for o1 (Dec 2024)
Technical Specifications
| Provider | OpenAI |
| Category | Reasoning |
| Modality | Text -> Text (reasoning) |
| Context Window | 200,000 tokens |
| Training Cutoff | October 2023 |
Frequently Asked Questions
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