The OpenAI o3-mini is a high-speed, cost-effective reasoning model designed for STEM applications, with strong performance in science, mathematics, and coding. Launched in January 2025, it includes essential developer features such as function calling, structured outputs, and developer messages. The model offers three reasoning effort levels—low, medium, and high—allowing users to optimize between deeper analysis and faster response times. Unlike the o3 model, it lacks vision capabilities. Initially available to select developers in API usage tiers 3-5, it can be accessed via the Chat Completions API, Assistants API, and Batch API.
| o4-mini | o3-mini | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 16, 2025 1 week ago | Jan 31, 2025 2 months ago |
Modalities | text images | text |
API Providers | OpenAI API | OpenAI API |
Knowledge Cut-off Date | - | Unknown |
Open Source | No | No |
Pricing Input | $1.10 per million tokens | $1.10 per million tokens |
Pricing Output | $4.40 per million tokens | $4.40 per million tokens |
MMLU | fort | 86.9% pass@1, high effort Source |
MMLU Pro | - | Not available |
MMMU | 81.6% Source | Not available |
HellaSwag | - | Not available |
HumanEval | 14.28% Source | Not available |
MATH | - | 97.9% pass@1, high effort Source |
GPQA | 81.4% Source | 79.7% 0-shot, high effort Source |
IFEval | - | Not available |
Mobile Application |
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