Minimax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.
定價資訊
快速開始
只需更改 base_url 即可透過 BazaarLink API 使用 Minimax M2.7：
from openai import OpenAI
client = OpenAI(
base_url="https://bazaarlink.ai/api/v1",
api_key="sk-bl-YOUR_API_KEY",
)
response = client.chat.completions.create(
model="minimax/minimax-m2.7",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://bazaarlink.ai/api/v1",
apiKey: "sk-bl-YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "minimax/minimax-m2.7",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);為什麼透過 BazaarLink 使用 Minimax M2.7？
- ✓美元計費（台幣報價）+ 統一發票 — 台灣團隊無需海外刷卡
- ✓OpenAI 相容 API — 無需改寫程式碼
- ✓自動故障轉移 — 同模型多供應商備援
- ✓中文客服支援 — 在地團隊即時協助
Frequently Asked Questions
What is Minimax M2.7?
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.
How much does the Minimax M2.7 API cost?
Minimax M2.7 costs $0.3000 per 1K input tokens and $1.2000 per 1K output tokens when accessed through BazaarLink.
How do I use Minimax M2.7 with the OpenAI SDK?
Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "minimax/minimax-m2.7". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.
What is the context window for Minimax M2.7?
Minimax M2.7 supports a context window of 204,800 tokens.
Is Minimax M2.7 available for free?
Minimax M2.7 is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.