| Model | Reasoning Strength | Best Use Case |
|---|---|---|
| o3 Mini High | High cost-efficiency | Coding + STEM workflows |
| o1 | Maximum reasoning depth | Research-grade analysis |
Frequently Asked Questions
OpenAI o3 Mini is a faster, cheaper reasoning model released in early 2025 that outperforms o1 on most STEM benchmarks. o1 was the original reasoning model; o3 Mini succeeds it with better accuracy on math (AIME: 86.5% vs 79.2%) and coding tasks at significantly lower cost per token.
Yes. o3 Mini scores higher than o1 on competitive programming benchmarks like Codeforces and SWE-bench Verified. It handles complex multi-step code reasoning more efficiently while using fewer compute resources.
Choose o3 Mini for STEM, math, science, and coding tasks — it is faster and cheaper with better benchmark scores. Use o1 only if you need maximum extended thinking depth for complex philosophical or ambiguous reasoning where speed is not a priority.
o3 Mini is significantly more cost-efficient than o1. It delivers superior performance on most benchmarks at a fraction of the inference cost, making it the practical choice for high-volume reasoning tasks via the OpenAI API.
Yes. o3 Mini scores 49.3% on SWE-bench Verified (real GitHub issues) and is used for legal document analysis, financial modelling, and scientific research tasks in production environments.
Yes. o3 Mini supports function calling, structured outputs, and tool use through the OpenAI API, making it suitable for agentic workflows and multi-step automated pipelines.
o3 Mini offers three reasoning effort levels: low, medium, and high. Higher effort improves accuracy on complex tasks but increases latency and cost. Most users get optimal results with the medium setting.