GPT-4.1 Mini

87.8
Score

Overall Performance Score

OpenAI Logo OpenAI
2024-09-15
90%
TextGeneration
87%
Reasoning
86%
Coding

Overview

What is GPT-4.1 Mini?

Lightweight version of GPT-4.1 optimized for speed and cost-efficiency while maintaining strong performance with multimodal capabilities.

Created by:

OpenAI

Release Date:

2024-09-15

Capabilities Overview

TextGeneration 90%
Reasoning 87%
Coding 86%
Multimodal 85%
Safety 91%

Technical Specifications

Architecture

type: Efficient Multimodal Transformer
parameters: 200 billion
context: 32,000 tokens
trainingDataUpTo: August 2024
architecture: Distilled GPT-4.1 architecture with optimized attention mechanisms, efficient parameter allocation, and integrated multimodal processing

Performance Metrics

MMLU: 88.3%
HumanEval: 84.7%
HellaSwag: 91.2%
ARC Challenge: 87.9%
TruthfulQA: 82.4%
GSM8K: 91.6%
Response Time: 120ms
Cost Efficiency: 95%

Performance Dashboard

TextGeneration

90%

Reasoning

87%

Coding

86%

Multimodal

85%

Safety

91%

Technical Metrics

Parameters: 200B
ContextWindow: 32000
Latency: 120
Accuracy: 89.7
Cost: $0.015/1K tokens

Benchmark Performance

MMLU 88.3%
HumanEval 84.7%
HellaSwag 91.2%
ARC Challenge 87.9%
TruthfulQA 82.4%
GSM8K 91.6%
Response Time 120ms
Cost Efficiency 95%

Features

Ultra-fast responses

Optimized for speed with minimal latency for real-time applications

Cost-effective

Affordable pricing for high-volume usage without compromising quality

Image processing

Built-in image understanding for multimodal tasks

Balanced performance

Optimal trade-off between capability and efficiency

Safety features

Comprehensive safety measures and content filtering

32K context

Sufficient context window for most applications

Pros & Cons

Advantages

  • Very fast response times
  • Cost-effective pricing
  • Multimodal capabilities
  • Good balance of performance

Disadvantages

  • Smaller model size
  • Less capable than full GPT-4.1
  • May struggle with complex tasks

What can it do?

Chatbot Integration

Power conversational interfaces with fast, cost-effective AI responses

Content Summarization

Quickly summarize documents and extract key information efficiently

Mobile Applications

Integrate AI capabilities into mobile apps with low latency requirements

Frequently Asked Questions