Benchmark RadarAI BENCHMARK PROFILE
Math-Vision Diagrams
Math-Vision Diagrams evaluates LLMs on mathematical diagram generation from text, covering both text-to-code and text-to-image paradigms, with a curated subset of 2,920 competition problems and multiple metrics.
- Released
- 2026-08-09
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
It fills the gap in standardized evaluation of math diagram generation, enabling comparison across paradigms and models, and provides a comprehensive benchmark for this emerging capability.
Motivation
The generation of mathematically precise diagrams from tex- tual prompts has emerged as a critical yet underexplored capability of Large Language Models (LLMs).
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.