OpenAI: GPT Chat Latest

OpenAI: GPT Chat Latest is a text model from OpenAI. It is the model exposed through OpenAI's stable API alias chat-latest, which always resolves to the latest Instant chat model used in ChatGPT. Because the alias tracks the Instant model line, the underlying model behind it can change as OpenAI rolls out updates, while the model id you call stays the same.

The model accepts text, images and files as input, and it returns text. Its context window is 400,000 tokens, and the maximum output is 128,000 tokens. Supported request parameters are max_tokens, response_format, seed, structured_outputs, tool_choice and tools. That combination means it can read long documents or mixed text and image inputs, produce long answers, follow a fixed output shape, and call tools during a request.

Practical uses follow from those capabilities. A large context window suits work over long source material, such as reviewing a full specification, a codebase dump or a stack of reports in one request. Image and file inputs fit tasks like extracting information from screenshots, scanned pages or attached documents. Structured outputs and response_format help when the result has to be parsed by another system, for example filling a fixed schema or returning JSON. Tool calling and tool_choice support agent style flows where the model decides when to invoke a function you define. The seed parameter is useful when you want more repeatable sampling across runs.

You call it through api14's OpenAI-compatible API using the model id "openai/gpt-chat-latest". Because the interface follows the OpenAI chat completions shape, existing OpenAI client libraries and code work with a change of base URL and API key. In the request you can set max_tokens to cap the response length, response_format or structured_outputs to control the output shape, seed for sampling reproducibility, and tools with tool_choice to enable function calling. The model id is an alias, so requests keep working as OpenAI updates the Instant model behind it, though the exact behaviour may shift between updates.

On limits, the model outputs text only, so it is not the choice when you need image, audio or video generation. If your workload depends on a frozen, reproducible model version rather than an alias that moves with OpenAI's Instant updates, a pinned model may fit better. For tasks that need output modalities beyond text, look to a model in the relevant category instead.