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.
OpenAI o4-mini is the newest lightweight model in the o-series, engineered for efficient and capable reasoning across text and visual tasks. Optimized for speed and performance, it excels in code generation and image-based understanding, while maintaining a balance between latency and reasoning depth. The model supports a 200,000-token context window with up to 100,000 output tokens, making it suitable for extended, high-volume interactions. It handles both text and image inputs, producing textual outputs with advanced reasoning capabilities. With its compact architecture and versatile performance, o4-mini is ideal for a wide array of real-world applications demanding fast, cost-effective intelligence.
| o3-mini | o4-mini | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
| ||
Release Date
| ||
Modalities
| text | text images |
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
| 86.9% pass@1, high effort Source | fort |
MMLU-Pro
| Not available | - |
MMMU
| Not available | 81.6% Source |
HellaSwag
| Not available | - |
HumanEval
| Not available | 14.28% Source |
MATH
| 97.9% pass@1, high effort Source | - |
GPQA
| 79.7% 0-shot, high effort Source | 81.4% Source |
IFEval
| Not available | - |
SimpleQA
| - | - |
AIME 2024 | - | 93.4% Source |
AIME 2025 | - | 92.7% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application |
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