Publish time
2026/3/17Model Series
MiniMaxInput type
Output type
Context Window
204,800Max Output Length
131,100Input Price
¥2.1 / 1M tokensOutput Price
¥8.4 / 1M tokensAgentic指令遵循：在包含 50+ skills、60–150 个 feature list 的复杂环境中，M2.7 仍能保持稳定的技能调用与指令遵循能力，有效缓解大规模 skill library 场景下常见的遵从能力下降问题；针对需要 几十个技能协同的复杂任务进行优化，能够在长流程、多步骤的 Agent 场景中稳定完成复杂任务拆解与执行。 领先的 Agent Harness 能力，支持 Agent Teams、多工具检索（Tool Search）、多种 Agent 脚手架功能，便于构建复杂的多 Agent 系统。 强工程与 Coding 能力：在真实工程场景中具备优秀表现，包括 日志分析与 Bug 定位、代码重构、代码安全（生成无漏洞代码）、机器学习、Android 开发 等能力。 复杂 Office 自动化能力：支持复杂 Excel / Word / PPT 办公任务及多轮编辑。
Zhinao API routes requests to the best-fit provider and automatically fails over to the one with highest availability.
TTFT
1.43s
Throughput
32.49tps
Uptime
100.00%
Provider Model
minimax/minimax/MiniMax-M2.7
Supported Parameters
Recent Uptime
Reasoning
Toggleable
Supported Response Formats
Request Log Collection
ZDR Supported
Distillable
Yes
Total Context
204,800
Max Output
131,100
Input Price
¥2.1 / 1M tokens
Output Price
¥8.4 / 1M tokens
TTFT
2.77s
Throughput
32.57tps
Uptime
100.00%
Provider Model
ksyun/minimax/MiniMax-M2.7
Supported Parameters
Recent Uptime
Reasoning
Toggleable
Supported Response Formats
Request Log Collection
ZDR Supported
Distillable
Yes
Total Context
196,608
Max Output
196,608
Input Price
¥2.1 / 1M tokens
Output Price
¥8.4 / 1M tokens
Compare different providers across Zhinao API
41.81 tok/s
1.87 s
Uptime for minimax/MiniMax-M2.7 across all providers
Zhinao API normalizes requests and responses across providers for you
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.360.cn/v1",
apiKey: process.env.ZHINAO_API_KEY,
});
const response = await client.chat.completions.create({
model: "minimax/MiniMax-M2.7",
messages: [
{ role: "user", content: "Hello, how are you?" }
],
temperature: 0.7,
max_tokens: 1000,
});
console.log(response.choices[0].message.content);