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.
价格
企业客户联系客户经理享专属折扣
| 输入 | $0.55/百万 tokens |
| 输出 | $2.2/百万 tokens |
使用以下代码示例来集成我们的API：
1from openai import OpenAI
2
3client = OpenAI(
4 api_key="<Your API Key>",
5 base_url="https://api.jiekou.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
函数调用
支持
推理
支持
Input Capabilities
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Output Capabilities
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