Math-Vision Diagrams - DISTS: leaderboard
Math-Vision Diagrams (2026) asks models to draw a mathematical diagram from a text prompt, either as TikZ, SVG or Matplotlib code that is compiled to an image or directly as an image, and compares the result with a reference diagram. Score is the DISTS perceptual distance to the reference, averaged over the 1,068 prompts that every model rendered, on a 0-1 scale; lower is better.
Metric: DISTS perceptual distance between the generated and reference diagram (0-1, lower is better; mean over images on the 1,068 prompts whose output every one of the eleven models rendered; nine code LLMs write TikZ, SVG or Matplotlib code compiled to an image and two text-to-image models draw directly; provider default temperature, one response per prompt). Source: arxiv.org. Saturation forecast: Around August 2027. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 0.25 | #102 |
| 2 | Gemini 3.1 Pro (Preview) | 0.25 | #94 |
| 3 | GPT-OSS-120B | 0.26 | #700 |
| 4 | Kimi K2.5 | 0.26 | #256 |
| 5 | Llama 4 Maverick | 0.3 | #1099 |
| 6 | Qwen 3.5 35B A3B | 0.32 | #482 |
| 7 | GPT-5.4 | 0.37 | #123 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=math-vision-diagrams-dists · How It Works · Data refreshed daily, snapshot 2026-11-13.