This is a simplified guide to an AI model called Minicpm-V-45-V9 maintained by Sai88uk. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
The minicpm-v-45-v9 model represents a significant advancement in multimodal AI, delivering GPT-4o level performance for single image, multi-image, and high-FPS video understanding. This 8B parameter model, maintained by sai88uk, outperforms major proprietary models including GPT-4o-latest, Gemini-2.0 Pro, and Qwen2.5-VL 72B in vision-language capabilities. The model builds on the successful MiniCPM-V-4_5 architecture while introducing enhanced video processing capabilities that set it apart from other multimodal models like MiniCPM-V-4.
Model inputs and outputs
The model accepts multiple input types for comprehensive multimodal understanding, with particular strength in processing high-resolution images and videos efficiently. The thinking mode feature allows users to choose between fast processing for everyday tasks and deep reasoning for complex problems.
Inputs
- image: Input image in URI format for single image analysis and chat
- video: Input video file in URI format for video analysis and understanding
- question: Text query about the provided image or video content
- thinking_mode: Selectable reasoning mode (fast, deep, or ultra) for different complexity needs
- video_fps: Configurable frame rate between 0.5-10 FPS, automatically adjusted for longer videos
Outputs
- text: Generated text response providing detailed analysis, descriptions, or answers to queries
Capabilities
This model excels at high-density vide…