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:

Structured Outputs Response Format Seed Max Tokens Tool Choice Tools
Features

This model supports the following features:

Response Format Tools Structured Outputs
Performance Summary

OpenAI o3-mini-high, released on February 12, 2025, is a specialized language model designed for STEM reasoning, building upon the o3-mini model with enhanced reasoning effort. The model exhibits moderate speed performance, ranking in the 28th percentile, and is positioned at premium pricing levels, falling into the 13th percentile for cost-efficiency. A significant strength is its exceptional reliability, achieving a 100% success rate across all benchmarks, indicating consistent and usable responses. The model demonstrates strong performance in core STEM areas, achieving perfect accuracy in General Knowledge and Reasoning benchmarks, and a high 92.0% in Mathematics and 90.0% in Coding. Notably, it is the most accurate model at its price point and among models of similar speed for General Knowledge and Reasoning. While excelling in these domains, its performance in Instruction Following (62.0% accuracy) and Ethics (98.0% accuracy) is less outstanding compared to its STEM capabilities. Hallucinations are well-managed with 94.0% accuracy, indicating a good ability to acknowledge uncertainty. Its primary strengths lie in its robust reasoning capabilities and reliability, making it a strong contender for applications requiring precise, error-free outputs in technical fields, despite its premium cost and moderate speed.

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
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