Minimax Minimax 01, developed by MiniMax, features MoE architecture and 1,000k-token context window. MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens. The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model. To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2 Available at $0.2/1M tokens.
Visit MiniMax: MiniMax-01AI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Minimax Model Timeline
33k tokens context
197k tokens context
197k tokens context
1,000k tokens context
1,000k tokens context
Specifications
AI Evaluation
Speed-optimized for rapid responses without significant quality compromise. Perfect for interactive applications, real-time assistance, and high-throughput scenarios.
Pros
- Competitive pricing ($0.2/1M)
- Massive 1,000k token context
- Image and visual analysis
- Low-latency responses
Cons
- Speed/quality trade-off
- API integration required
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