Xiaomi: MiMo-V2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

This model is imported from OpenRouter metadata and exposed through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

Why It Looks Great

• text+image+audio+video->text architecture for Text, Audio, Image, Video to Text workloads
• 1048576 context window for long prompts, document analysis, and multi-turn workflows
• Competitive pricing at $0.4/$2 per million tokens
• Vision input support for image understanding and multimodal tasks
• Function calling and tool-use support for agentic application workflows
• Structured output support for JSON responses and schema-constrained generation
• Reasoning controls available through supported OpenRouter parameters

Key Features

• Context Window: 1048576 tokens
• Max Input: 917504 tokens
• Max Output: 131072 tokens
• Vision: Supported
• Function Calling: Supported
• Structured Outputs: Supported
• Image Generation: Not listed
• Audio Input: Supported
• Supported Parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, response_format, stop, temperature, tool_choice, tools, top_p

Specifications

Pricing

Note: Pricing is generated from OpenRouter model metadata. If multiple upstream providers expose different endpoint prices, review and adjust the price before publishing.

How to Use

1. Write your prompt - describe the task, provide context, and specify the 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-v2.5

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-v2.5",
    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-v2.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'