OpenAI: o3 Mini

openai/o3-mini

Description

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter, which can be set to high, medium, or low to control the thinking time of the model. The default is medium. OpenRouter also offers the model slug openai/o3-mini-high to default the parameter to high. The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency.

How this model compares

Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.

Price (per 1M tokens)

Min
Max
This model
339 models in this groupPrice (per 1M tokens)
Min
$0.04
Avg
$12.395447
Max
$750.00
This model: $4.40 / 1M tokens

Context length (tokens)

Min
Max
This model
339 models in this groupContext length (tokens)
Min
4,095 tokens
Avg
379,884.782 tokens
Max
10,000,000 tokens
This model: 200,000 tokens

Capabilities

text+file->textContext: 200,000 tokens
Input:
TextFile
Output:
Text
    OpenAI: o3 Mini