Xiaomi
MiMo V2.5 Pro
Total Context
1M
Max Output
128K
Released
N/A
mimo-v2.5Xiaomi MiMo V2.5 is Xiaomi’s native multimodal Mixture-of-Experts model for production AI applications. It understands text, images, video, and audio, and generates text for chat, coding, reasoning, content generation, and agent workflows. With long-context and tool-use capabilities, MiMo V2.5 is suited to document analysis, multimodal assistants, structured extraction, and complex tasks that combine multiple input formats. Use the Xiaomi MiMo API through TokenHub to review the current MiMo V2.5 price, model ID, supported endpoints, and model limits before production use.
Context Window
1.1M tokens
Maximum Output
131.1K tokens
Release Date
Apr 23, 2026
Modalities
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.14/M | $0.28/M | $0.0028/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
MiMo V2.5 combines native full-modal understanding, general-purpose agent capabilities, and a one-million-token context for responsive multimodal applications.
The model jointly understands text, images, video, and audio, enabling information from different media to be considered within one task.
MiMo V2.5 can translate multimodal perception into actions for everyday agent tasks involving planning and tool coordination.
A one-million-token context and higher average inference speed support large inputs while preserving responsiveness for frequent tasks.
MiMo V2.5 is suited to multimedia analysis, chart and video understanding, and everyday agents that combine perception with practical actions.
Combine text, images, audio, and video to identify events, topics, speakers, and relationships, then return a unified text summary.
Interpret dense charts or lengthy video material, extract important changes and evidence, and answer questions about the content.
Understand mixed-media requests, plan a short sequence of actions, coordinate tools, and return a practical result for routine work.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.responses.create({})
console.log(result.output_text)MiMo-V2.5
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 38 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 56.8 |
Metrics sourced from Artificial Analysis
Answers to common questions about the Xiaomi MiMo V2.5 API, pricing, multimodal capabilities, coding and agent workflows, and model comparisons on TokenHub.
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.
Use one API key to access MiMo V2.5 and more AI models through TokenHub.
Xiaomi MiMo V2.5 Media and Discussions
Selected public discussions and videos about Xiaomi MiMo V2.5 and the MiMo V2.5 model family.
X (Twitter)
Xiaomi MiMo ·
Weights are coming! Stay tuned!
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Xiaomi MiMo-V2.5 is now officially open-sourced!
Murky-Ad126 ·
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MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required. Two models, both supporting a 1M-token context window : • MiMo-V2.5-Pro: built for complex agent and coding tasks, ranking No.1 among open-source models on GDPVal-AA and ClawEval • MiMo-V2.5: a native omni-modal model with strong agent capabilities A model's value isn't measured by rankings alone — it's measured by the problems it solves. Let's build with MiMo now! Weights: https://huggingface.co/collections/XiaomiMiMo/mimo-v25 (https://t.co/w7wNtXj9Rm) Blog: https://mimo.xiaomi.com/index#blog (https://t.co/bPaaWMRI0g) r/XiaomiGlobal - Xiaomi MiMo-V2.5 is now officially open-sourced! (https://cf.preview.redd.it/xiaomi-mimo-v2-5-is-now-officially-open-sourced-v0-0s4rthisktxg1.jpg?width=2952&format=pjpg&auto=webp&s=dcf6e405bbd83d4ec78f2f47405d53746fd824ce) SGLang and vLLM support for the MiMo-V2.5 series is here. Huge thanks to SGLang project from u/lmsysorg (https://x.com/lmsysorg) and u/vllm_project (https://x.com/vllm_project) for moving fast and helping developers get started with MiMo-V2.5 on day zero. r/XiaomiGlobal - Xiaomi MiMo-V2.5 is now officially open-sourced! (https://cf.preview.redd.it/xiaomi-mimo-v2-5-is-now-officially-open-sourced-v0-ciu337huktxg1.jpg?width=1280&format=pjpg&auto=webp&s=0685fa1f226a8f53c63d9bdae2ddb53d580f0620) MiMo-V2.5 achieved Day-0 adaptation across multiple chip platforms on the first day of open source release. Huge thanks to our hardware ecosystem partners for helping make MiMo-V2.5 easier to deploy and run efficiently across more environments: u/awscloud (https://x.com/awscloud)、u/AMD (https://x.com/AMD)、T-HEAD、KUNLUNXIN、Enflame、MetaX、Iluvatar CoreX. From cloud AI chips to domestic accelerators, we’re working with the ecosystem to bring MiMo-V2.5 to more developers and enterprises on day zero. r/XiaomiGlobal - Xiaomi MiMo-V2.5 is now officially open-sourced! (https://cf.preview.redd.it/xiaomi-mimo-v2-5-is-now-officially-open-sourced-v0-47k1xkv1ltxg1.jpg?width=1280&format=pjpg&auto=webp&s=592690efeec6058a4c540e96d88b5ff65ab4916a)
Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward
Murky-Ad126 ·
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MiMo-V2.5-Pro, our strongest model yet. A major leap from MiMo-V2-Pro in general agentic capabilities, complex software engineering, and long-horizon tasks, now matching frontier models like Claude Opus 4.6 and GPT-5.4 across most benchmarks (SWE-bench Pro 57.2, Claw-Eval 63.8, τ3-Bench 72.9). It can autonomously complete professional tasks involving 1,000+ tool calls, work that would take human experts days. Tech Blog: https://mimo.xiaomi.com/blog/mimo-v2.5-pro (https://t.co/I275kxl9kL) MiMo-V2.5, native omnimodal with strong agentic capabilities. Pro-level agent performance at roughly half the cost. Improved multimodal perception across image and video understanding, native 1M-token context window, and significantly more efficient inference. Tech Blog: https://mimo.xiaomi.com/blog/mimo-v2.5 (https://t.co/7DLo0n2MNu) API & Token Plan: https://platform.xiaomimimo.com/token-plan (https://t.co/P74SR2MaJe) r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-0npl9xc9xvwg1.jpg?width=1280&format=pjpg&auto=webp&s=a1e4a00cc52636c2d811b8899745da2e0d4df37c) The MiMo-V2.5 series is tuned for token efficiency. At the same ClawEval agent benchmark score: MiMo-V2.5-Pro uses 42% fewer tokens than Kimi K2.6 MiMo-V2.5 uses nearly half the tokens of Muse Spark Same frontier performance, at a fraction of the cost. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-bg7fuf2vxvwg1.jpg?width=1280&format=pjpg&auto=webp&s=7ce4c62c0476b1be9b4efb89e1d8a9b0396a7206) The MiMo-V2.5 series — how they fit together: MiMo-V2.5-Pro: built for long, complex agent tasks that demand deep reasoning. MiMo-V2.5: covers most general-purpose agent scenarios at 100–150 tokens/s, with native omni-modal capabilities across image, audio, and video. V2.5-Pro for the hardest tasks. V2.5 for speed and modality. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-d45kq1i5yvwg1.png?width=860&format=png&auto=webp&s=9fc1f95fe0a63970689cca9786d63fc3234bd0eb) Token Plan Update Alongside stronger models, we've upgraded our inference infrastructure — and your Token Plan gets better too. Simpler, lower credit rates: • MiMo-V2.5: 1x (1 token = 1 credit) • MiMo-V2.5-Pro: 2x (1 token = 2 credits) From now on, Token Plans (https://platform.xiaomimimo.com/token-plan (https://t.co/P74SR2MaJe)) no longer charge a multiplier for the 1M context window. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-75z63629yvwg1.jpg?width=1221&format=pjpg&auto=webp&s=01a256d4b4be54b717cb3af353a1c980a5622c7d)
MiMo-V2.5 Has released
WhyLifeIs4 ·
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شاومي تدخل سباق الذكاء الاصطناعي بقوة! تجربة Xiaomi MiMo V2.5 Pro
Infotech4you - مروي سليمان
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