r/MachineLearning
7/20/2026
![Introducing ASCIITermDraw Bench | Testing the ability of VLMs to Generate and Edit ASCII [P]](https://preview.redd.it/9q5cs439mceh1.png?width=140&height=98&auto=webp&s=ebb3f772300fbbd6ecad54b3067b9ea96a92c80f)
Introducing ASCIITermDraw Bench | Testing the ability of VLMs to Generate and Edit ASCII [P]
Short summary
ASCIITermDraw-Bench is a new benchmark evaluating Vision Language Models on their ability to generate and edit ASCII-based diagrams across 80 tasks spanning basic layouts, network topologies, software architecture, and image-conditioned editing. Each task is scored both structurally and semantically via an LLM judge with 95% confidence intervals. Gemma-4-31B-IT currently leads at 73.8%, followed by Qwen3.7-Plus at 70.2%, with the full methodology and examples publicly available on Hugging Face.
- •New 80-task benchmark tests VLMs on ASCII diagram generation and editing across four categories
- •Dual scoring system uses structural verification plus LLM-judge semantic scoring with confidence intervals
- •Gemma-4-31B-IT tops the leaderboard at 73.8%; benchmark is open-source on Hugging Face
Generated with AI, which can make mistakes.
Is this a good recommendation for you?


