MiniMax

MiniMax API

Access MiniMax instantly with Puter.js, and add AI to any app in a few lines of code without backend or API keys.

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

puter.ai.chat("Explain AI like I'm five!", {
    model: "minimax/minimax-m2.5"
}).then(response => {
    console.log(response);
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain AI like I'm five!", {
            model: "minimax/minimax-m2.5"
        }).then(response => {
            console.log(response);
        });
    </script>
</body>
</html>

List of MiniMax Models

Chat

MiniMax M2.5

minimax/minimax-m2.5

MiniMax M2.5 is a 230B-parameter Mixture-of-Experts model (10B active) from Shanghai-based MiniMax, designed for real-world productivity with state-of-the-art performance in coding (80.2% SWE-Bench Verified), agentic tool use, and search tasks. It rivals top models from Anthropic and OpenAI while costing 1/10th to 1/20th the price, positioning itself as frontier intelligence 'too cheap to meter.' The model excels at full-stack development, office work (Word, Excel, PowerPoint), and autonomous agent workflows.

Chat

MiniMax M2-her

minimax/minimax-m2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. It stays consistent in tone and personality across conversations and supports rich message roles to learn from example dialogue. This makes it well-suited for storytelling, AI companions, and conversational experiences where natural flow matters.

Chat

MiniMax M2.1

minimax/minimax-m2.1

MiniMax-M2.1 is an enhanced version of M2 with significantly improved multi-language programming capabilities and office scenario support. It features more concise responses, better instruction following, and matches or exceeds Claude Sonnet 4.5 on coding benchmarks while maintaining excellent agent/tool scaffolding generalization.

Chat

MiniMax M2

minimax/minimax-m2

MiniMax-M2 is a compact MoE model (230B total, 10B active parameters) optimized for coding and agentic workflows with a 128K context window. It ranks #1 among open-source models for tool use and agent tasks, delivering elite performance in multi-step development workflows at 8% the cost of comparable models.

Video

MiniMax Hailuo 02

minimax/hailuo-02

MiniMax Hailuo 02 is a next-generation AI video model ranked #2 globally, featuring native 1080p output and advanced physics simulation for realistic motion including gravity, fluid dynamics, and complex movements like gymnastics. It uses Noise-aware Compute Redistribution (NCR) architecture for 2.5x improved efficiency, with 3x more parameters and 4x more training data than its predecessor. The model supports both text-to-video and image-to-video generation with clips up to 10 seconds.

Chat

MiniMax M1

minimax/minimax-m1

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.

Video

MiniMax Video-01 Director

minimax/video-01-director

MiniMax Video-01 Director is an AI video generation model that specializes in creating HD videos with precise cinematic camera control. It supports 720p resolution at 25fps and generates clips up to 5 seconds, allowing users to specify camera movements like pans, zooms, and tracking shots through natural language or bracketed commands. The model significantly reduces movement randomness compared to standard video models, enabling more accurate and intentional storytelling.

Chat

MiniMax-01

minimax/minimax-01

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.

Frequently Asked Questions

What is this MiniMax API about?

The MiniMax API gives you access to models for AI chat and video generation. Through Puter.js, you can start using MiniMax models instantly with zero setup or configuration.

Which MiniMax models can I use?

Puter.js supports a variety of MiniMax models, including MiniMax M2.5, MiniMax M2-her, MiniMax M2.1, and more. Find all AI models supported by Puter.js in the AI model list.

How much does it cost?

With the User-Pays model, users cover their own AI costs through their Puter account. This means you can build apps without worrying about infrastructure expenses.

What is Puter.js?

Puter.js is a JavaScript library that provides access to AI, storage, and other cloud services directly from a single API. It handles authentication, infrastructure, and scaling so you can focus on building your app.

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

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