minimax/minimax-m1
Model Card
MiniMax-M1 is the world's first open-source hybrid-attention reasoning model, featuring a 1 million token context window and 80K reasoning output budget. It excels in software engineering, long-context tasks, and complex reasoning while being trained with an efficient CISPO reinforcement learning algorithm.
Context Window
N/A
tokens
Max Output
40,000
tokens
Input Cost
$0.4
per million tokens
Output Cost
$2.2
per million tokens
API Usage Example
Add MiniMax: MiniMax M1 to your app with just a few lines of code.
No API keys, no backend, no configuration required.
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "minimax/minimax-m1"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Get started with Puter.js
Add MiniMax: MiniMax M1 to your app without worrying about API keys or setup.
Read the Docs View Tutorials