MiniMax M2.7
minimax/minimax-m2.7
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
价格
| 输入 | $0.3/百万 tokens |
| Cached reads | $0.03/百万 tokens |
| 输出 | $1.2/百万 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.highwayapi.ai/openai"
6)
7
8response = client.chat.completions.create(
9 model="minimax/minimax-m2.7",
10 messages=[
11 {"role": "system", "content": "You are a helpful assistant."},
12 {"role": "user", "content": "Hello, how are you?"}
13 ],
14 max_tokens=131100,
15 temperature=0.7
16)
17
18print(response.choices[0].message.content)信息
提供商
量化
fp8
支持的功能
上下文长度
204.8K
最大输出
131.1K
函数调用
支持
结构化输出
支持
推理
支持
serverless
支持
Input Capabilities
text
Output Capabilities
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