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mimo-v2-omni
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MiMo V2 Omni

mimo-v2-omni
Xiaomi
MiMo-V2-Omni is designed for complex real-world multimodal interaction and execution scenarios. We've built an all-modal foundation from the ground up that fuses text, vision, and speech, and use a unified architecture to deeply bind "perception" and "action." This not only breaks the traditional models' limitation of emphasizing understanding over execution, but also natively equips the model with multimodal perception, tool invocation, function execution, and GUI operation capabilities. MiMo-V2-Omni can seamlessly integrate with major agent frameworks, achieving a leap from understanding to manipulation and significantly lowering the barrier to deploying full-modal agents.

Pricing

PricingCache ReadWeb Search
$0.440$2.200
$0.088/M tokens$0.005/request

Input Modalities

  • Text
  • Vision
  • Audio
  • Video

Output Modalities

  • Text

Capabilities

  • Web

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="mimo-v2-omni",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is mimo-v2-omni?

MiMo-V2-Omni is designed for complex real-world multimodal interaction and execution scenarios. We've built an all-modal foundation from the ground up that fuses text, vision, and speech, and use a unified architecture to deeply bind "perception" and "action." This not only breaks the traditional models' limitation of emphasizing understanding over execution, but also natively equips the model with multimodal perception, tool invocation, function execution, and GUI operation capabilities. MiMo-V2-Omni can seamlessly integrate with major agent frameworks, achieving a leap from understanding to manipulation and significantly lowering the barrier to deploying full-modal agents.
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