MiMo V2.5

Xiaomi MiMo V2.5 is Xiaomi’s native multimodal Mixture-of-Experts model for production AI applications. It is intended for tasks that combine text generation with multimodal understanding, coding, reasoning, content generation, and agent workflows.

The Xiaomi MiMo V2.5 API can be evaluated for AI assistants, content generation, document analysis, structured extraction, coding support, and agent workflows that use multiple input formats. Confirm the supported modalities, endpoint, and request schema on the current model page before implementation.

MiMo V2.5 is positioned as a native multimodal model with tool-use capabilities. Check the modalities, tool-calling support, and available endpoints shown on this TokenHub model page before relying on a specific input type or function in production.

Create a TokenHub API key, copy the exact Xiaomi MiMo V2.5 model ID shown on this page, and choose a supported endpoint in the API section. Use the generated request example as the starting point for your OpenAI-compatible client or other supported integration.

Review the current input, output, and cache-read prices displayed on this page, then estimate cost using your typical prompt size, response length, request volume, and cache-hit rate. For multimodal and agent workloads, also test how input format and tool loops affect total usage.

Choose based on the workload, not the suffix. Compare current API pricing, context and output limits, modalities, tool-calling support, latency, and results from your own evaluation set. Use the MiMo V2.5 vs MiMo V2.5 Pro comparison page to verify live specifications before standardizing on either model.

Create an API key in the TokenHub workspace and copy the exact Xiaomi MiMo V2.5 model ID displayed on this page. Confirm the supported endpoint and current specifications before sending production traffic, because availability and model details can change.