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xiaomi/mimo-v2.5

xiaomi/mimo-v2.5

1,048,576 context · $0.40/M input tokens · $2.00/M output tokens

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 tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.

Precios

Pago por uso

Sin costos iniciales, paga solo por lo que uses

Entrada
256K $0.40 / M Tokens
> 256K $0.80 / M Tokens
Salida
256K $2.00 / M Tokens
> 256K $4.00 / M Tokens
Cache Read
256K $0.08 / M Tokens
> 256K $0.16 / M Tokens

Probar el modelo

xiaomi/mimo-v2.5
En línea
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¡Hola! Soy un asistente de IA útil. ¿En qué puedo ayudarte?

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra API:

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)

Introducción del modelo

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

SpecificationValue
Providerxiaomi
Model TypeChat Completions model
Architecturetext+image+audio+video->text
Context Window1048576 tokens
Max Input917504 tokens
Max Output131072 tokens
InputText, Audio, Image, Video
OutputText
VisionSupported
Function CallingSupported
Structured OutputsSupported
OpenRouter CreatedApril 22, 2026

Pricing

Token TypeCost
Input$0.4 per million tokens
Output$2 per million tokens
Cached Input$0.08 per million tokens

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!"}]
  }'

Información

Proveedorxiaomi
Tipollm

Funcionalidades compatibles

Entrada
TextoImagenAudio
Salida
Texto
Contexto1,048,576
Salida máxima131,072
Visión✓ Compatible
Function Calling✓ Compatible

Guía de acceso a la API

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
ID del modeloxiaomi/mimo-v2.5

Mimo V2.5 API

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 tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.

Entrada

$0.4 /M

Salida

$2 /M

Contexto

1049K

Salida máx.

131K

Visión

Compatible

Uso de herramientas

Compatible

Prueba Mimo V2.5 en WaveSpeedAI

Accede a Mimo V2.5 mediante nuestra API unificada — compatible con OpenAI, sin arranques en frío, precios transparentes.

Preguntas frecuentes sobre Mimo V2.5

¿Cuánto cuesta Mimo V2.5 a través de la API?+

Precios en WaveSpeedAI: $0.40 por millón de tokens de entrada y $2.00 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de Mimo V2.5?+

Mimo V2.5 admite hasta 1049K tokens de contexto y hasta 131K tokens de salida por solicitud.

¿Es Mimo V2.5 compatible con OpenAI?+

Sí. WaveSpeedAI expone Mimo V2.5 a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.

¿Cómo empiezo con Mimo V2.5?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar Mimo V2.5 antes de pagar por token.

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