OpenAI: o3 Mini High

File input Text input Text output
Author's Description

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.

Key Specifications
Cost
$$$$$
Context
200K
Parameters
200B
Released
Feb 12, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Response Format Structured Outputs Seed Tools Tool Choice Max Tokens
Features

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

OpenAI's o3-mini-high, released on February 12, 2025, is a specialized language model optimized for STEM reasoning tasks, building upon the o3-mini model with an elevated reasoning effort setting. The model demonstrates moderate speed performance, ranking in the 27th percentile across benchmarks, and is positioned at premium pricing levels, falling into the 12th percentile. A standout feature is its exceptional reliability, achieving a perfect 100% success rate across all evaluated benchmarks, indicating consistent and stable operation. In terms of performance across categories, o3-mini-high excels in General Knowledge and Reasoning, achieving perfect 100% accuracy in both, with the latter also being the most accurate model at its price point and speed. It shows strong performance in Coding (90% accuracy) and Ethics (98% accuracy). While its Hallucinations Baseline accuracy is 94%, it performs moderately in this area. Its lowest accuracy is in Instruction Following (62%), suggesting this as a potential area for improvement. Overall, the model's strengths lie in its robust reasoning capabilities, particularly in STEM fields, and its high reliability, making it a strong contender for applications requiring precision and consistency despite its premium cost.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $1.1
Completion $4.4
Input Cache Read $0.55

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
OpenAI
OpenAI | openai/o3-mini-high-2025-01-31 200K $1.1 / 1M tokens $4.4 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
Other Models by openai