Xiaomi mimo-v2-flash

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi

MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.

Users can control the reasoning behaviour with the reasoning enabled boolean. Learn more in our docs.

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Why It Looks Great

• Large Language Model architecture for efficient processing
• 262144 context window for long document handling
• Competitive pricing at $0.1/$0.3 per million tokens

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Key Features

• Context Window: 262144 tokens
• Max Output: N/A tokens
• Vision: Supported
• Function Calling: Supported

Specifications

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Pricing

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How to Use

1. Write your prompt — describe the task, provide context, and specify desired output format.
2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: xiaomi/mimo-v2-flash

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API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="xiaomi/mimo-v2-flash",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "xiaomi/mimo-v2-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

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Notes

• Model: xiaomi/mimo-v2-flash
• Provider: Xiaomi