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

Overview

Kimi-VL-A3B-Thinking is an efficient open-source Mixture-of-Experts vision-language model focused on long-context processing and extended chain-of-thought reasoning. It provides a 128K token context window with 2.8B activated LLM parameters and targets multimodal tasks such as image and video comprehension, OCR, mathematical reasoning, and multi-turn agent interactions. Available on the Hugging Face model page; consult the model card for details and licensing.

Key Features

• Open-source Mixture-of-Experts vision-language architecture
• 128K token context window for extremely long inputs
• 2.8B activated LLM parameters
• Optimized for extended chain-of-thought reasoning
• Image comprehension capabilities
• Video comprehension capabilities
• OCR-capable multimodal understanding
• Supports mathematical reasoning tasks
• Designed for multi-turn agent interactions
• Described as efficient for long-context workloads

Ideal Use Cases

• Analyzing long documents, books, or transcripts
• Multimodal question answering across images and text
• OCR extraction from scanned documents and images
• Video content understanding and summarization
• Solving step-by-step mathematical problems
• Building image-aware multi-turn conversational agents
• Research into long-context and chain-of-thought methods

Getting Started

• Visit the model page on Hugging Face and read the model card
• Check the model license and usage guidelines
• Download or pull the model weights and configuration
• Integrate the model with your inference runtime or serving stack
• Provide representative long-context multimodal inputs for validation
• Measure performance and memory, then tune batch and sequence sizes

Pricing

No pricing information disclosed; model is listed as open-source on Hugging Face.

Key Information

• Category: Image Models
• Type: AI Image Models Tool