Qwen: Qwen3.7 Max

Qwen3.7 Max is the flagship model in Alibaba's Qwen3.7 series, developed by Qwen. It is a text model built for agent-centric workloads, and the provider describes particular strengths in coding, office and productivity tasks. It was released by the provider on 2026-05-21.

The model accepts text input and produces text output. Its context window is 1,000,000 tokens, which allows very large inputs to be handled in a single request, and its maximum output is 131,072 tokens. It supports reasoning, so responses can include reasoning content alongside the final answer. Beyond plain text generation, it supports tool calling and structured outputs, which makes it suitable for workloads where the model needs to interact with external functions or return data in a defined shape.

Those capabilities point to a few practical uses. The large context window suits work over long documents, large codebases or extended conversation histories without splitting them into many smaller requests. The coding and productivity focus makes it a reasonable fit for code generation, code review and office task automation. Tool calling and structured outputs support agent-style pipelines, where the model decides which tools to invoke and returns machine-readable results. The reasoning support is useful for tasks that benefit from step-by-step problem solving before an answer is produced.

You can call the model through api14's OpenAI-compatible API using the model id "qwen/qwen3.7-max". The request parameters it supports are frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs and top_p. Because the API is OpenAI-compatible, you can use existing OpenAI client libraries and point them at api14, setting the model field to the id above. Parameters such as tools and tool_choice control function calling, response_format and structured_outputs control the shape of the output, and reasoning and include_reasoning control whether reasoning content is returned.

One limit to keep in mind is that the model is text only. It does not accept image, audio or other non-text inputs, so if your application needs to process those modalities, a different model would be required. The supported parameter list also does not include every option an OpenAI-compatible client might send, so it is worth checking that the parameters you rely on appear in the list above before building around them.