MiniMax: MiniMax-01
minimax/minimax-01
Access MiniMax-01 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-01"
}).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-01"
}).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-01",
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-01",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
MiniMax-01 is a 456B parameter foundation model (45.9B activated) using a hybrid Lightning Attention + MoE architecture, achieving top-tier performance on reasoning, math, and coding benchmarks. It supports up to 4 million tokens of context, making it especially strong for long-context tasks and AI agent applications.
Context Window 1M
tokens
Max Output 1M
tokens
Input Cost $0.2
per million tokens
Output Cost $1.1
per million tokens
Release Date Jan 15, 2025
Model Playground
Try MiniMax-01 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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ChatMiniMax M2.7 Highspeed
MiniMax M2.7 Highspeed is a high-throughput, inference-optimized variant of MiniMax M2.7, delivering approximately 100 tokens per second — roughly 66% faster than the standard version. It shares the same model weights and MoE architecture as M2.7, so output quality and reasoning capability are identical; the speed advantage comes entirely from inference-layer routing and batching optimizations. It supports text and image inputs with a 204K context window and features automatic prompt caching and parallel tool calling. Best suited for live coding assistants, autonomous agent pipelines, and interactive workflows where low latency and high throughput matter.
Frequently Asked Questions
You can access MiniMax-01 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add MiniMax-01 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $1.1 |
MiniMax-01 was created by MiniMax and released on Jan 15, 2025.
MiniMax-01 supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,000 pages of text.
MiniMax-01 can generate up to 1M tokens in a single response.
Yes — the MiniMax-01 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-01 to your app without worrying about API keys or setup.
Read the Docs View Tutorials