OpenAI: GPT-4o (batch)

OpenAI: GPT-4o (batch) is a text generation model from OpenAI, offered here under the model id openai/gpt-4o:batch. It belongs to the GPT-4o family, where the "o" stands for "omni", and OpenAI describes it as supporting both text and image inputs with text outputs. The batch variant is the same underlying model served through a batch workflow rather than an interactive one, which makes it a fit for work that does not need an immediate answer.

On capabilities, the model accepts text, images and files as input and returns text only. It has a context window of 128,000 tokens and can produce up to 16,384 tokens in a single response. Its knowledge cutoff is 31 October 2023, so anything after that date has to come from the prompt or from a tool rather than from the model's own training. The supported request parameters include temperature, top_p, max_tokens, stop, seed, frequency_penalty, presence_penalty, logit_bias, logprobs and top_logprobs, along with response_format, structured_outputs, tools, tool_choice, prediction and web_search_options.

Those capabilities point to a fairly wide set of practical uses. Because images and files can be passed in alongside text, the model suits document review, extraction from scanned or PDF material, and summarisation of long reports that would otherwise exceed a smaller context window. The 128,000 token window also makes it reasonable for analysing large codebases, long transcripts or multi-document sets in one request. Tool calling and structured outputs make it a candidate for pipelines where the model has to return machine-readable JSON or invoke external functions, and the batch route fits offline jobs such as bulk classification, content tagging or generating summaries across a large corpus.

Calling it through api14 works the same way as any other OpenAI-compatible endpoint. You send a request to the chat completions route with the model field set to openai/gpt-4o:batch, and you can pass any of the parameters listed above in the request body. Because the endpoint follows the OpenAI schema, existing OpenAI client libraries and SDKs generally work without modification, and switching between models is usually a matter of changing the model id.

One thing to keep in mind is the knowledge cutoff of 31 October 2023, which means questions about later events need grounding through the prompt or through web_search_options. Output is text only, so image generation is out of scope. If your workload needs a synchronous, low-latency response rather than batch processing, a non-batch GPT-4o variant would be the more natural choice.