What is GPT-4o?

GPT-4o (“o” for “omni”) is OpenAI’s flagship multimodal model, designed to natively understand and generate a combination of text, audio, and image inputs and outputs. It represents a significant leap forward in human-computer interaction, offering GPT-4 level intelligence but with much greater speed and improved capabilities across different modalities. Unlike previous models that processed voice through separate pipelines, GPT-4o handles all inputs and outputs with a single neural network, enabling it to perceive emotion, respond in real-time, and engage in fluid, natural conversations.

Key Features

• Native Multimodality: Processes text, audio, and vision seamlessly within one model, allowing for rich, context-aware interactions.
• Real-Time Responsiveness: Achieves response times as low as 232 milliseconds for audio, similar to human conversation speed.
• GPT-4 Level Intelligence: Matches the performance of GPT-4 Turbo on text and coding benchmarks while being significantly faster and 50% cheaper in the API.
• Advanced Vision Capabilities: Excels at understanding and discussing images, screenshots, documents, and charts uploaded by users.
• Expressive Audio Output: Can generate voice output in a range of different emotional styles and even sing.

Use Cases

• Real-Time Voice Assistants: Powering highly responsive and natural-sounding digital assistants that can understand tone and context.
• Live Translation: Facilitating real-time translation between different languages during a conversation.
• Interactive Learning: Acting as a personal tutor that can explain concepts visually and verbally.
• Data Analysis and Visualization: Analyzing charts and data from images and providing instant insights.
• Customer Support: Creating more empathetic and efficient customer service bots that can handle voice and text queries.

Getting Started

Here is a simple “Hello World” example using the OpenAI Python library to interact with the GPT-4o model. First, ensure you have the library installed and your API key is set up.

```bash pip install openai export OPENAI_API_KEY=’your-api-key-here’

Then, you can run the following Python code:

```python from openai import OpenAI

client = OpenAI()

Example with text input

response = client.chat.completions.create( model=”gpt-4o”, messages=[ {“role”: “system”, “content”: “You are a helpful assistant.”}, {“role”: “user”, “content”: “Hello, what makes you different from other models?”} ] )

print(response.choices[0].message.content)

Example with text and image input

response_vision = client.chat.completions.create( model=”gpt-4o”, messages=[ { “role”: “user”, “content”: [ {“type”: “text”, “text”: “What’s in this image?”}, { “type”: “image_url”, “image_url”: { “url”: “https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/1280px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg”, }, }, ], } ], max_tokens=300, )

print(response_vision.choices[0].message.content)

Pricing

GPT-4o is available with a “Freemium” model. Free-tier ChatGPT users get access to GPT-4o with usage limits. Paid users of ChatGPT Plus have significantly higher message limits. For developers, GPT-4o is available via the API and is priced 50% lower than the previous GPT-4 Turbo model, making it more cost-effective for building scalable applications.