o3-mini

86.4
Score

Overall Performance Score

OpenAI Logo OpenAI
2024-12-20
88%
TextGeneration
92%
Reasoning
89%
Coding

Overview

What is o3-mini?

Compact reasoning model offering strong analytical capabilities with faster response times and lower cost than o1.

Created by:

OpenAI

Release Date:

2024-12-20

Capabilities Overview

TextGeneration 88%
Reasoning 92%
Coding 89%
Multimodal 70%
Safety 93%

Technical Specifications

Architecture

type: Efficient Reasoning Transformer
parameters: 400 billion
context: 64,000 tokens
trainingDataUpTo: October 2024
architecture: Optimized reasoning transformer with streamlined chain-of-thought processing and efficient parameter allocation for faster inference

Performance Metrics

MMLU: 92.8%
HumanEval: 88.4%
GSM8K: 95.2%
MATH: 89.7%
ARC Challenge: 91.5%
Big-Bench Hard: 90.1%
Response Time: 2000ms
Cost Efficiency: 93%

Performance Dashboard

TextGeneration

88%

Reasoning

92%

Coding

89%

Multimodal

70%

Safety

93%

Technical Metrics

Parameters: 400B
ContextWindow: 64000
Latency: 2000
Accuracy: 91.5
Cost: $0.03/1K tokens

Benchmark Performance

MMLU 92.8%
HumanEval 88.4%
GSM8K 95.2%
MATH 89.7%
ARC Challenge 91.5%
Big-Bench Hard 90.1%
Response Time 2000ms
Cost Efficiency 93%

Features

Efficient reasoning

Strong reasoning capabilities with reduced thinking time

Faster responses

Balanced speed and reasoning for practical applications

Cost-effective

Half the cost of o1 while maintaining strong performance

Code analysis

Strong coding and algorithm understanding

Analytical thinking

Excellent for data analysis and logical problems

Balanced performance

Optimal trade-off between reasoning and speed

Pros & Cons

Advantages

  • Strong reasoning at lower cost
  • Faster than o1
  • Good code understanding
  • Practical for production use

Disadvantages

  • Less powerful than o1
  • Still slower than standard models
  • Limited multimodal capabilities

What can it do?

Code Review

Analyze code for logic errors, optimization opportunities, and best practices

Data Analysis

Process and analyze datasets with logical reasoning and pattern recognition

Problem Solving

Tackle moderately complex problems with efficient reasoning

Frequently Asked Questions