AI Rate Card

MiniMax-M3 · orcarouter

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.

Modèle de baseTous les modèles de cette baseTous les modèles du fournisseurvers le fournisseur

Entrée, $/1M $0.30

Sortie, $/1M $1.20

Lecture cache $0.06

Écriture cache —

Contexte 1 048 576

Sortie max. 512 000

Accepte image/gif, image/jpeg, image/png, image/webp, texte, video/mp4, video/quicktime, video/x-matroska, video/x-msvideo

Dernière vérification 04.11.2026 12:26:37 UTC

Source page du fournisseur

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API

API compatible OpenAI : les SDK officiels d'OpenAI fonctionnent avec cette URL de base. Remplacez YOUR_API_KEY par votre clé du fournisseur.

URL de base de l'API
https://api.orcarouter.ai/v1
Point de terminaison
https://api.orcarouter.ai/v1/chat/completions
ID du modèle
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());
Requête (JSON)
{
  "model": "minimax/minimax-m3",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Réponse (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
  }
}

L'adresse provient de la liste de modèles du fournisseur ; vérifiez-la dans sa documentation.

Documentation API du fournisseur

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

Détails techniques

ID: offer:orcarouter|minimax/minimax-m3