ByteDance Seed: Seed-2.0-Mini

ByteDance Seed: Seed-2.0-Mini is a text generation model from ByteDance Seed, the model research arm of ByteDance. It belongs to the Seed 2.0 family, and the mini variant is positioned for latency-sensitive, high-concurrency and cost-sensitive workloads, with an emphasis on fast responses and flexible inference deployment. ByteDance states that it delivers performance comparable to ByteDance-Seed-1.6. The provider release date is 26 February 2026.

On the input side the model accepts text, images and video, and it produces text output only. That makes it a multimodal understanding model rather than a pure text model, so you can send a prompt alongside an image or a video and receive a written answer. The context window is 262,144 tokens, and the maximum output is 131,072 tokens, so long inputs and long generations are both possible within the same request. It supports four reasoning effort modes (minimal, low, medium and high), which lets you trade thinking depth against latency depending on the task.

Those capabilities point to a fairly wide set of practical uses. The large context window suits long document analysis, summarisation and question answering over lengthy material. Multimodal input fits tasks such as describing or extracting information from images, and reviewing or summarising video content in text form. Tool calling and structured outputs make it a reasonable choice for agents, retrieval pipelines and any workflow where the model must return data in a fixed shape or call external functions. The reasoning effort modes are useful when some requests need a quick answer and others need more deliberate multi-step thinking, all served by the same model.

You call it through api14's OpenAI-compatible API using the model id "bytedance-seed/seed-2.0-mini". Because the interface follows the OpenAI chat completions format, you can point an existing OpenAI client at api14 and set that model id. The supported request parameters are frequency_penalty, include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, stop, structured_outputs, temperature, tool_choice, tools and top_p. Reasoning behaviour is controlled through the reasoning, reasoning_effort and include_reasoning parameters, while response_format and structured_outputs cover formatted output and tool_choice and tools cover function calling.

As for limits, the facts here do not list rate limits, moderation behaviour or supported languages, so check the live model page for anything not covered above. The model outputs text only, so if you need image, audio or video generation, a different model is required. Since it is the mini variant, workloads where maximum quality matters more than latency or throughput may be better served by a larger Seed 2.0 model. For high concurrency and fast response requirements, Seed-2.0-Mini is the intended fit.