MiniMax

MiniMax: MiniMax M2.7

minimax/minimax-m2.7

Access MiniMax M2.7 from MiniMax using Puter.js AI API.

Get Started 
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "minimax/minimax-m2.7"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "minimax/minimax-m2.7"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.7",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "minimax/minimax-m2.7",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

MiniMax M2.7 is a proprietary reasoning LLM from Chinese AI startup MiniMax, released on March 18, 2026, notable for being one of the first commercial models to actively participate in its own training through autonomous self-evolution loops. It excels at agentic coding workflows with a 56.2% score on SWE-Pro and strong performance in office productivity tasks, scoring the highest ELO (1495) on GDPval-AA among open-source-tier models. It targets developers building complex agent systems and automated workflows.

Context Window 197K

tokens

Max Output 131K

tokens

Input Cost $0.3

per million tokens

Output Cost $1.2

per million tokens

Release Date Mar 18, 2026

 

Model Playground

Try MiniMax M2.7 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat minimax/minimax-m2.7
MiniMax
Chat with MiniMax M2.7
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Frequently Asked Questions

How do I use MiniMax M2.7?

You can access MiniMax M2.7 by MiniMax through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is MiniMax M2.7 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add MiniMax M2.7 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for MiniMax M2.7?
Pricing for MiniMax M2.7 is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.3
Output$1.2
Who created MiniMax M2.7?

MiniMax M2.7 was created by MiniMax and released on Mar 18, 2026.

What is the context window of MiniMax M2.7?

MiniMax M2.7 supports a context window of 197K tokens. For reference, that is roughly equivalent to 393 pages of text.

What is the max output length of MiniMax M2.7?

MiniMax M2.7 can generate up to 131K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the MiniMax M2.7 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add MiniMax M2.7 to your app without worrying about API keys or setup.

Read the Docs View Tutorials