AIHubMixAIHubMix
Models
mimo-v2-flash
Compare
Xiaomi logo

MiMo V2 Flash

mimo-v2-flash
Xiaomi
MiMo-V2-Flash is a mixture of experts (MoE) language model with a total of 309 billion parameters and 15 billion activated parameters. It is designed for high-speed inference and proxy workflows, adopting a novel hybrid attention architecture and multi-token prediction (MTP), significantly reducing inference costs while achieving state-of-the-art performance.

Pricing

  • Input Tokens: $0.192 /M tokens
  • Output Tokens: $0.575 /M tokens
  • Cache Read: $0.038 /M tokens

Input Modalities

  • Text

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-flash",
    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-flash?

MiMo-V2-Flash is a mixture of experts (MoE) language model with a total of 309 billion parameters and 15 billion activated parameters. It is designed for high-speed inference and proxy workflows, adopting a novel hybrid attention architecture and multi-token prediction (MTP), significantly reducing inference costs while achieving state-of-the-art performance.
AIHubMix

© 2023 - 2026 AIHubMix, LLC

Product

Company

Developer

Connect