MiniMax M1
minimaxai/minimax-m1-80k
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.
功能
Serverless API
文档
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.
可用的 Serverless
立即运行查询，仅按用量付费
输入$0.55 / M Tokens
输出$2.2 / M Tokens
使用以下代码示例与我们的 API 集成：
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)信息
提供商
MiniMax
量化
bf16
支持的功能
上下文长度
1000000
最大输出
40000
Serverless
支持
Function Calling
支持
Structured Output
支持
Reasoning
支持
输入能力
text
输出能力
text
构建生产级 AI 所需的一切。
200+ 个模型、按需 GPUs 和安全的智能体运行时——统一在一个 API 下。免费开始，随业务增长灵活扩展。