ZoomGain Release Evaluation - Baby Vision: leaderboard

ZoomGain Release Evaluation - Baby Vision: Native benchmark accuracy or held-out macro mean (%). ZoomGain arXiv 2611.14076v1: ZoomGainBench bilingual fine-grained perception scores, weighted within-language by category counts. Table 3 author experiments train Qwen3.5-4B and 9B on 9K ZoomGain samples; official inclusionAI release identifies them as ZoomGain-4B/9B. ZwZ-retrained controls do not identify released checkpoints and are held. Table 3 Gemini-3-Flash (51.27) conflicts with Table 2 Gemini-3.6-Flash; that row is held, never inferred equivalent. Qwen3-VL labels are held absent Instruct/Thinking binding. Other source-named released models retain their exact labels and unreported effort.

Metric: Native benchmark accuracy or held-out macro mean (%). Source: arxiv.org. Saturation forecast: Around 2030. 8 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B20.36#242
2GLM-5.3 Flash20.1#119
3Qwen 3.5 122B A10B19.07#329
4Qwen 3.5 9B15.98#803
5Qwen 3.5 4B14.69#1180
6GPT-5.113.92#225

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=zoomgain-release-evaluation-baby-vision · How It Works · Data refreshed daily, snapshot 2026-11-12.