OpenAI's GPT-4o, released in May 2024, is a versatile AI model that processes both text and image inputs to generate text outputs. With a context length of 128,000 tokens, it offers a substantial capacity for handling complex tasks. GPT-4o maintains the intelligence of GPT-4 Turbo while being twice as fast and more cost-effective. It enhances performance in non-English languages and visual tasks, making it suitable for diverse applications. Supported parameters include frequency penalty, logit bias, and temperature, offering flexibility in generating tailored responses.
Use Cases
Here are a few ways teams apply OpenAI: GPT-4o in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance multilingual communication
Streamline image-based data processing
Develop interactive chatbots
Create detailed visual content analysis
Key Features
A quick look at the capabilities that make this model useful in real projects.
Processes text and image inputs
Outputs text with enhanced visual capabilities
Twice as fast as GPT-4 Turbo
Improved non-English language support
128,000 token context length
Specs
Overview
Vendor
openai
Model ID
openai/gpt-4o
Release
2024-05-13
Modalities & context
Input
text · image · file
Output
text
Context
128,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p, web_search_options
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: OpenAI: GPT-4o
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
The OpenAI GPT-4o (extended) model is a state-of-the-art language processing AI designed to generate human-like text based on input prompts. It is capable of understanding and producing text across a wide range of topics, making it suitable for applications such as content creation, customer support, and educational tools. The model can handle complex queries and provide detailed responses, facilitating interactive conversations and information retrieval.
Notable constraints include the potential for generating inaccurate or misleading information, as the model relies on patterns in the data it was trained on. Additionally, while it can simulate conversational context, it does not possess true understanding or awareness. Users should exercise caution and verify outputs when utilizing the model for critical tasks. Overall, GPT-4o offers advanced capabilities for various text-based applications while requiring responsible usage to mitigate its limitations.
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