VectorGym - SVG Captioning: leaderboard

Metric: SVG Captioning task score (0-100): description of an SVG from its code, mean of the VLM-judge score, BGE-M3 similarity and ROUGE-L against the human caption (all 0-100), on VectorGym's human-annotated test split (real-world SVGs from SVG-Stack); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro55.5#77
2GPT-5.151.38#131
3Claude Sonnet 4.550.15#138
4Gemini 2.5 Flash45.83#237
5GPT-4o44.72#333
6Qwen 3 VL 235B A22B Instruct41.96#264
7Qwen 2.5 VL 32B Instruct40.28#443
8GLM-4.5V39.24#339
9Qwen 3 VL 8B Instruct36.78#401
10Qwen 2.5 VL 72B Instruct23.13#364

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=vectorgym-svg-captioning · How It Works · Data refreshed daily, snapshot 2026-10-11.