Kimi-VL-A3B-Thinking - AI Vision Models Tool

Overview

Kimi-VL-A3B-Thinking is an efficient open-source Mixture-of-Experts vision-language model specialized in long-context processing and extended chain-of-thought reasoning. It provides a 128K context window and uses 2.8B activated LLM parameters for multimodal tasks including OCR, image and video comprehension, mathematical reasoning, and multi-turn agent interactions.

Key Features

• Open-source Mixture-of-Experts vision-language model
• 128K token context window for long-context processing
• Extended chain-of-thought reasoning for multi-step inference
• Only 2.8B activated LLM parameters to enable efficiency
• Multimodal: image and video comprehension capabilities
• OCR support for extracting text from images
• Mathematical reasoning for symbolic and numeric problems
• Supports multi-turn agent interactions in conversational pipelines

Ideal Use Cases

• Analyze long documents with multimodal inputs
• Perform OCR on scanned documents and images
• Understand and summarize videos frame-by-frame
• Solve multi-step mathematical reasoning problems
• Build multi-turn conversational agents with visual grounding

Getting Started

• Open the model page on Hugging Face
• Read the model card, README, and license details
• Download model files or use Hugging Face inference endpoints
• Run provided examples or notebooks if available
• Test the model on a small multimodal sample
• Integrate into your pipeline and monitor performance

Pricing

Not disclosed on the model page; check the Hugging Face model card for license and usage terms.

Key Information

• Category: Vision Models
• Type: AI Vision Models Tool