OpenAI: GPT Sol Latest

GPT Sol Latest is a text model from OpenAI, published under the model id ~openai/gpt-sol-latest. It belongs to the GPT Sol family, and as the name suggests, this entry always redirects to the latest model in that family. That means you are not pinning a specific snapshot when you call it; requests go to whatever OpenAI currently serves as the newest GPT Sol release. The provider release date listed for this entry is 2026-09-11.

The model takes text, images and files as input, and it returns text. Its context window is 1,050,000 tokens, which is large enough to hold very long documents, whole codebases or extended conversation histories in a single request. The maximum output is 128,000 tokens, so long generations are possible within one call. Because input is multimodal, you can mix written prompts with images and uploaded files rather than converting everything to plain text first.

Those capabilities point to a few practical patterns. Large context plus file input suits document analysis, such as summarising contracts, reviewing specifications or extracting structured data from long reports. Image input supports tasks like reading screenshots, diagrams or scanned pages alongside a text question. The reasoning parameters and tool support make it a reasonable fit for agent style workflows, where the model calls functions, works through multi step problems and returns structured results. The high output ceiling helps when you need a full report or a long generated file rather than a short answer.

You call it through api14's OpenAI-compatible API using the model id ~openai/gpt-sol-latest. The supported request parameters are include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools and verbosity. In practice that covers output length control through max_tokens or max_completion_tokens, reasoning control through reasoning and reasoning_effort, deterministic sampling with seed, structured JSON style output via response_format and structured_outputs, and function calling through tools and tool_choice. include_reasoning and verbosity let you tune how much reasoning detail and how much verbosity the response carries.

One thing to keep in mind is that the redirect behaviour cuts both ways. You always get the newest GPT Sol model, but you do not get a fixed version, so behaviour can shift when OpenAI updates the family. If you need reproducible outputs across time, pinning a specific dated snapshot elsewhere may suit you better. Also note that output is text only, so if you need generated images or audio, this model is not the right choice. For straightforward text tasks that do not need a million token context or tool use, a smaller model may be simpler and faster to work with.