ChartAnno - Intent-Level Design Effectiveness: leaderboard
Metric: Design effectiveness (out of 5): mean of visual clarity, annotation organization quality and attention guidance, each an integer rubric score from 1 to 5 given by a GPT-5.4 judge, 0 for failed or missing output; annotated chart code generated from the unannotated code of 1,200 real-world charts; chart code input only; intent-level instructions that state only the communicative intent. Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 3.64 |
| 2 | Gemini 3 Flash (Preview) | 3.56 |
| 3 | GPT-5.4 | 3.43 |
| 4 | Claude Sonnet 4.6 | 3.39 |
| 5 | Kimi K2.5 | 3.27 |
| 6 | Gemma 4 31B | 3.11 |
| 7 | Qwen 3.5 397B A17B | 3.01 |
| 8 | Qwen 3.5 27B | 2.9 |
| 9 | Qwen 3.5 122B A10B | 2.83 |
| 10 | Qwen 3.5 9B | 2.29 |
Interactive version: theaggregate.ai/benchmark?slug=chartanno-intent-level-design-effectiveness · How It Works · Data refreshed daily, snapshot 2026-09-26.