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OpenAI: o3 Mini High

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. 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 and cost.

Context Window

200K

Input Price

$1.10/M tokens

Output Price

$4.40/M tokens

Modality

text+file->text

Pricing Breakdown
Cost per million tokens for input and output
Input$1.10/M tokens
Output$4.40/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.015400

Context Window Size
Maximum tokens the model can process in a single request
Context Window200K tokens
20% of 1M max

~150K

Words Equivalent

~100

Pages of Text

~2000

Code Functions

Best Use Cases
What this model excels at
CodingProgrammingDevelopmentMathReasoningAnalysis

Related Categories:

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