MiniMax models on Tokenator
Every MiniMax model available through Tokenator: API ID, context window, usage multiplier and current availability. The key and the base URL stay the same for every model in the catalog — switching models takes one request parameter.
This model is available on the free tier with predefined usage limits. MiniMax M3.1 Flash is a fast reasoning model from MiniMax designed for coding, agentic tasks, long-context workloads, and multi-step workflows. The model supports multimodal input, tool calling, and multiple reasoning effort levels, combining high generation speed with strong performance on complex tasks.
MiniMax H3 — это облегченная модель генерации видео с открытыми весами от MiniMax. Она разработана для точного многомодального редактирования и контролируемой генерации контента, включая редактирование по инструкциям, рендеринг текста и брендов, а также перенос движения из видео в видео. Модель подходит для коммерческих творческих рабочих процессов в рекламе, электронной коммерции, играх и дизайне интерфейсов, с нативным аудиовизуальным выводом для генерации на основе референсов.
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding, and tool use. It is built on MiniMax Sparse Attention (MSA), which replaces full attention with KV-block selection to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with substantially faster prefill and decode while retaining quality across most tasks. Trained as a native multimodal model on interleaved data and tuned for multi-turn, production-like collaboration via an interactive user-simulator framework, the model is oriented toward sustained, multi-step tasks rather than single-turn execution.
MiniMax M3.1 Flash is a fast reasoning model from MiniMax optimized for coding, agentic workflows, and everyday software development. It supports up to a 1M-token context window, text, image and video inputs, multi-step tasks, and tool calling. The model is designed for high generation speed and works well for bug fixes, feature implementation, large codebase analysis, testing, and development automation. It supports five reasoning effort levels: low, medium, high, xhigh, and max.
4 MiniMax models in the catalog, 4 available right now, context up to 1M tokens, multiplier ×0.7–×1.2