MiniMax-VL-01: A groundbreaking 456B parameter language model with innovative hybrid architecture, processing up to 4 million tokens of context - 32x more than GPT-4.
MiniMax-VL-01 is a powerful language model that supports multiple intelligent conversation scenarios, making your applications smarter.
Aleeyah
5.0
Based on industry-standard text and multimodal comprehension evaluations, we match the performance of leading models like GPT-4 and Claude-3.5-Sonnet across most tasks. In long-text tasks, MiniMax-VL-01 demonstrates superior performance with minimal degradation as input length increases, significantly outperforming Google Gemini.
Our revolutionary architecture combines Lightning Attention with traditional Softmax Attention in an 8-layer cycle: 7 layers of linear Lightning Attention followed by 1 layer of traditional Softmax Attention. This hybrid approach enables near-linear complexity when processing long inputs, setting new efficiency standards compared to other top-tier global models.
3 EASY STEPS
Start using MiniMax-VL-01 in just three simple steps and unlock a new era of intelligent conversations
Select the appropriate API interface based on your application scenario. We offer multiple flexible calling methods.
Easily integrate MiniMax-VL-01 into your application using our SDK and sample code.
Begin using MiniMax-VL-01 immediately and experience the power of intelligent conversations.
Total parameters, with 45.9B activated per token
Maximum token context length, 32x more than GPT-4
Model layers with hybrid attention mechanism
Find answers to common questions about MiniMax-VL-01
MiniMax-VL-01 features a revolutionary hybrid architecture combining Lightning Attention and Softmax Attention, enabling superior performance in long-text processing with near-linear complexity. It matches or exceeds the performance of leading models like GPT-4 and Claude-3.5-Sonnet.
MiniMax-VL-01 can process up to 4 million tokens in context, which is 32x more than GPT-4 and 20x more than Claude-3.5-Sonnet. This makes it particularly effective for long-form content analysis and generation.
The model excels at text generation, comprehension, dialogue, and Q&A tasks. It performs particularly well with long-form content, showing minimal performance degradation as input length increases.
The architecture uses an 8-layer cycle where 7 layers utilize linear Lightning Attention, followed by 1 layer of traditional Softmax Attention. This combination optimizes both performance and computational efficiency.
MiniMax-VL-01 supports multiple languages with strong performance in English, Chinese, and other major languages. It demonstrates advanced multilingual capabilities in understanding and generation tasks.
Integration is straightforward through our comprehensive API. We provide detailed documentation, SDKs, and developer support to help you implement MiniMax-VL-01 in your applications.
High Performance
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