OpenAI: GPT-4o (2024-08-06)

GPT-4o (2024-08-06) is a text generation model from OpenAI, identified on api14 as openai/gpt-4o-2024-08-06. It is the version of GPT-4o released on 2024-08-06, and OpenAI positions it as an update that improves structured outputs, including the ability to supply a JSON schema in the response_format field. The "o" in the name stands for "omni", reflecting a model designed to handle more than plain text.

The model accepts text, images and files as input, and produces text as output. It has a context window of 128,000 tokens and can generate up to 16,384 output tokens per request. Its knowledge cutoff is 2023-10-31, so anything after that date is outside what it learned during training. Because input can include images and files alongside text, it can work with mixed prompts rather than text alone.

Those capabilities point to a few practical uses. Structured outputs with a supplied JSON schema suit extraction and data shaping tasks, where you want the model to return fields you can parse directly. Tool calling fits agent style workflows that need to invoke functions or external services. Image and file input supports tasks such as reading a screenshot, a diagram or a document and answering questions about it. The 128,000 token context window allows long inputs, such as lengthy documents or extended conversations, to be handled in a single request.

You call the model through api14's OpenAI-compatible API using the model id openai/gpt-4o-2024-08-06. The supported request parameters are frequency_penalty, logit_bias, logprobs, max_completion_tokens, max_tokens, prediction, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p and web_search_options. Because the interface is OpenAI-compatible, existing OpenAI SDK code generally works with a change of base URL and model id.

A few limits are worth noting when choosing. Output is text only, so if you need generated images or audio, this model is not the fit. The knowledge cutoff of 2023-10-31 means recent events are not covered unless you supply the information in the prompt or use web_search_options. If your workload is small and simple, a lighter model may be sufficient, while this one is aimed at tasks that benefit from its context window, multimodal input and structured output support.