DrawAI-Bench - Fidelity - Global Visual: leaderboard
DrawAI-Bench (arXiv 2608.00548v1, Table 2): coding agents convert 80 raster diagrams, posters, slides and scientific figures into editable SVG with the DrawAI-Flow workflow, scored by deterministic rules and VLM rubric questions; each model appears under the strongest harness observed for it. Asset-level fidelity: whole-page structure and edge match, pixel error, readability, layout and visual hierarchy; 0-100, higher is better.
Metric: Fidelity score (0-100; rules and VLM rubric, strongest observed harness). Source: arxiv.org. Saturation forecast: Around February 2027. 13 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.6 Sol | 89.6 | #22 |
| 2 | GPT-5.5 | 88.3 | #33 |
| 3 | Kimi K3 | 86.7 | #35 |
| 4 | Claude Opus 4.8 | 86 | #39 |
| 5 | Claude Fable 5 | 85.2 | #20 |
| 6 | GPT-5.4 | 81.9 | #83 |
| 7 | Gemini 3.5 Flash | 74.8 | #66 |
| 8 | Kimi K2.7 Code | 73.6 | #95 |
| 9 | Gemini 3.1 Pro (Preview) | 70.9 | #64 |
| 10 | MiniMax-M3 | 69.2 | #151 |
| 11 | Qwen 3.7 Plus | 65.2 | #98 |
| 12 | MiMo-V2.5-Pro | 60.9 | #167 |
| 13 | MiMo-V2.5 | 60.8 | #196 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=drawai-bench-fidelity-global-visual · How It Works · Data refreshed daily, snapshot 2026-11-05.