MiniMax-M3 · orcarouter

Name: MiniMax-M3
Brand: MiniMax
Price: 0.3 USD
Availability: InStock

MiniMax-M3 is MiniMax's flagship open-weight foundation model and the first to combine three frontier capabilities at once: frontier-level coding and agentic performance, a 1M-token context window, and native multimodality. It accepts text, image, and video inputs with text output, and is powered by the proprietary MiniMax Sparse Attention (MSA) architecture, which sustains up to 1M tokens of context (with a guaranteed minimum of 512K) - the foundation for long-range agent tasks, long-horizon coding, and long-video understanding. Multimodality is a native core capability rather than an add-on: the data pipeline was rebuilt to scale pretraining to 100T+ tokens with multimodal training from step zero, deeply aligning textual and visual semantic spaces. M3 achieves top-tier results across coding and agentic benchmarks spanning software engineering, terminal execution, and autonomous browsing (scoring 83.5 on BrowseComp), with autonomous task decomposition, tool invocation, and multi-step reasoning. It is well suited to AI coding assistants, automated workflows, and long-running asynchronous agent pipelines where coherence over extended sessions matters.

Modelo base Todos los modelos de esta base Todos los modelos del proveedor al proveedor

Entrada, $/1M $0.30

Salida, $/1M $1.20

Lectura de caché $0.06

Escritura de caché —

Contexto 1 048 576

Salida máx. 512 000

Acepta image/gif, image/jpeg, image/png, image/webp, texto, video/mp4, video/quicktime, video/x-matroska, video/x-msvideo

Última comprobación 04.11.2026 12:26:37 UTC

Fuente página del proveedor

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API

API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.

URL base de la API	`https://api.orcarouter.ai/v1`
Endpoint	`https://api.orcarouter.ai/v1/chat/completions`
ID del modelo	`minimax/minimax-m3`

curl

curl https://api.orcarouter.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax/minimax-m3", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'

Python

import requests

r = requests.post(
    "https://api.orcarouter.ai/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "minimax/minimax-m3",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())

JavaScript

const r = await fetch("https://api.orcarouter.ai/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "minimax/minimax-m3",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Solicitud (JSON)

{
  "model": "minimax/minimax-m3",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Respuesta (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "minimax/minimax-m3",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.

Documentación de la API del proveedor

Source: AI Rate Card, https://airatecard.com/es/c/offer%3Aorcarouter%7Cminimax/minimax-m3, prices checked 2026-11-04; seller's page: https://orcarouter.ai/models/minimax/minimax-m3

Datos técnicos

ID: offer:orcarouter|minimax/minimax-m3