LookZoom Full Sets 196 Tokens - DocVQA: leaderboard
LookZoom v1: Qwen3-VL-Instruct at 2B/4B/8B. Fixed 500-question subsets (seed 0) of DocVQA val (ANLS),InfographicVQA val (ANLS),ChartQA test (relaxed accuracy),TextVQA val (VQA accuracy), plus 300 held-out V-CoT-Doc (strict match). Per-view budget B means B * 32^2 pixels preserving aspect ratio, not total tokens. Single view/AttWarp/replace answer from 1 view; ViCrop/ground-then-crop/GapSight/LookZoom use 2. LookZoom reader uses GRPO LoRA; pointer trained from own correct answers; GapSight is authors reimplementation. Distinct trained systems remain separate. Full sets instead of 500-question subsets: V-CoT 300, Doc 5,349, Info 2,801, Chart 2,500, Text 5,000; 4B only, 196 tokens. DocVQA. Metric: ANLS (%).
Metric: ANLS (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen3-VL-4B-Instruct (Harness: LookZoom study LookZoom) | 81.7 | |
| 2 | Qwen3-VL-4B-Instruct (Harness: LookZoom study GapSight reimplementation) | 78.4 | |
| 3 | Qwen3-VL-4B-Instruct (Harness: LookZoom study LookZoom replace) | 77.4 | |
| 4 | Qwen3-VL-4B-Instruct (Harness: LookZoom study Ground-then-crop) | 76.9 | |
| 5 | Qwen3-VL-4B-Instruct (Harness: LookZoom study ViCrop) | 72.9 | |
| 6 | Qwen3-VL-4B-Instruct (Harness: LookZoom study single view) | 70.7 | |
| 7 | Qwen3-VL-4B-Instruct (Harness: LookZoom study AttWarp) | 69.8 |
Interactive version: theaggregate.ai/benchmark?slug=lookzoom-full-sets-196-tokens-docvqa · How It Works · Data refreshed daily, snapshot 2026-10-27.