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GPT-4.1 Nano

79.2
Score

Overall Performance Score

OpenAI Logo OpenAI
2024-09-15
82%
TextGeneration
78%
Reasoning
75%
Coding

Overview

What is GPT-4.1 Nano?

Ultra-lightweight version of GPT-4.1 designed for edge computing and resource-constrained environments with multimodal support.

Created by:

OpenAI

Release Date:

2024-09-15

Capabilities Overview

TextGeneration 82%
Reasoning 78%
Coding 75%
Multimodal 76%
Safety 85%

Technical Specifications

Architecture

type: Compact Multimodal Transformer
parameters: 20 billion
context: 8,192 tokens
trainingDataUpTo: August 2024
architecture: Highly compressed GPT-4.1 architecture with efficient attention, quantized parameters, and streamlined multimodal processing for edge deployment

Performance Metrics

MMLU: 78.9%
HumanEval: 72.3%
HellaSwag: 84.5%
ARC Challenge: 79.8%
GSM8K: 82.7%
Response Time: 50ms
Cost Efficiency: 99%
Energy Efficiency: 96%

Performance Dashboard

TextGeneration

82%

Reasoning

78%

Coding

75%

Multimodal

76%

Safety

85%

Technical Metrics

Parameters: 20B
ContextWindow: 8192
Latency: 50
Accuracy: 81.5
Cost: $0.005/1K tokens

Benchmark Performance

MMLU 78.9%
HumanEval 72.3%
HellaSwag 84.5%
ARC Challenge 79.8%
GSM8K 82.7%
Response Time 50ms
Cost Efficiency 99%
Energy Efficiency 96%

Features

Extreme speed

Sub-100ms response times for real-time interactive applications

Ultra-low cost

Most affordable GPT-4 variant for budget-conscious applications

Edge deployment

Optimized for edge devices and resource-constrained environments

Basic multimodal

Image understanding capabilities for lightweight vision tasks

Energy efficient

Low power consumption for mobile and IoT devices

Lightweight

Small footprint suitable for embedded systems

Pros & Cons

Advantages

  • Extremely fast responses
  • Very low cost
  • Edge-ready deployment
  • Energy efficient

Disadvantages

  • Limited capabilities
  • Smaller context window
  • Less accurate on complex tasks

What can it do?

IoT Voice Assistants

Power lightweight voice assistants on resource-constrained IoT devices

Quick Q&A

Provide fast answers to simple questions with minimal latency

Mobile Apps

Integrate AI into mobile apps without draining battery or bandwidth

Frequently Asked Questions