OpenAI: GPT-5.5 (batch)

GPT-5.5 (batch) is a text model from OpenAI, offered on api14 under the model id openai/gpt-5.5:batch. It is the batch variant of GPT-5.5, which OpenAI describes as its frontier model built for complex professional workloads. It builds on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. The provider release date is 2026-04-24, and the model's knowledge cutoff is 2025-12-01.

The model accepts text, images, and files as input, and it returns text. Its context window is 1,050,000 tokens, which is enough to hold very large documents, long conversation histories, or multi-file inputs in a single request. The maximum output is 128,000 tokens, so responses can be long as well as grounded in a large input. Supported parameters include include_reasoning, reasoning, reasoning_effort, and verbosity, which let you control how much reasoning the model exposes and how detailed its answers are. It also supports max_tokens, response_format, structured_outputs, seed, tools, and tool_choice.

Those capabilities point to a few practical uses. The large context window and file input suit analysis of long contracts, technical documentation, research papers, or codebases supplied as files, where the model needs to reason across many pages at once. Image input allows tasks that mix screenshots, diagrams, or scanned pages with text instructions. Structured outputs and response_format are useful when you need machine-readable results, such as extracting fields from documents into JSON. Tool calling supports workflows where the model decides when to call your functions or APIs, and the reasoning controls help on problems that need step-by-step deliberation rather than a quick answer. The batch designation makes it a fit for workloads where requests are submitted together rather than interactively.

You call it through api14's OpenAI-compatible API using the model id openai/gpt-5.5:batch. Because the interface follows the OpenAI format, you can point an existing OpenAI client at api14's base URL and pass that id in the model field. The request body accepts the parameters listed above: include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools, and verbosity. Use max_tokens to cap output length, response_format or structured_outputs when you need a defined shape, tools and tool_choice for function calling, and reasoning_effort or verbosity to tune how much work the model puts into an answer.

One limit worth noting is that the model outputs text only, so it cannot generate images or audio. If your task depends on those output types, a different model is a better fit. The batch variant is also aimed at grouped, non-interactive requests, so if you need low-latency responses in a live chat interface, check whether a non-batch variant of GPT-5.5 is available on api14. Otherwise, for long-context text work with images, files, reasoning control, and tool use, this model covers those needs directly.