MiniMax M1

minimaxai/minimax-m1-80k

by MiniMax

Input price: $0.55/ M tokens
Output price: $2.2/ M tokens
Context window: 977Ktokens
Max output: 39Ktokens

MiniMax-M1: The World's First Open-Weight, Large-Scale Hybrid Attention Inference Model MiniMax-M1 adopts a Mixture of Experts (MoE) architecture and integrates the Flash Attention mechanism. The model contains a total of 456 billion parameters, with 45.9 billion parameters activated per token. Natively, the M1 model supports a context length of 1 million tokens—8 times that of DeepSeek R1. Additionally, by combining the CISPO algorithm with an efficient hybrid attention design for reinforcement learning training, MiniMax-M1 achieves industry-leading performance in long-context reasoning and real-world software engineering scenarios.

Fonctionnalités

API sans serveur

Documentation

minimaxai/minimax-m1-80k is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Sans serveur disponible

Exécutez des requêtes immédiatement, ne payez que pour l’utilisation

Entrée$0.55 / M Tokens

Sortie$2.2 / M Tokens

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The API is OpenAI-compatible: point any OpenAI SDK at the base URL and pass this model ID.

Base URL: https://api.novita.ai/openai
Model ID: minimaxai/minimax-m1-80k
API Endpoint: chat/completions

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="minimaxai/minimax-m1-80k",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=40000,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)