Xiaomi

MiMo-V2-Omni

xiaomi/mimo-v2-omni
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

MiMo-V2-Omni 专为现实世界中复杂的多模态交互与执行场景而生。我们从底层构建了融合文本、视觉、语音的全模态基座,并以统一架构将“感知”与“行动”深度绑定。这不仅打破了传统模型“重理解、轻执行”的局限,更让模型原生具备了多模态感知、工具调用、函数执行及 GUI 操作能力。MiMo-V2-Omni 可无缝接入各大智能体框架,实现了从理解到操控的跨越,大幅降低了全模态 Agent 的落地门槛。

Input / output modalities
Not provided to Not provided
Reference input / output price
Input¥2.8Output¥14per 1M tokens
Context window
256K
Added to catalog
Apr 27, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Xiaomi¥2.8¥14¥0.56256K128K

Xiaomi

Latency
3.02s
Throughput
78 tokens/s
Context
256K

Pricing

Input
¥2.8/M tokens
Output
¥14/M tokens
Cached
¥0.56/M tokens

Specifications

Context
256K
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

MiMo-V2-Omni code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="xiaomi/mimo-v2-omni", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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