See-or-Guess VQA - Vision-Grounded: leaderboard
Metric: Vision-Grounded variant (questions Gemini-2.5-Pro writes from the image alone, no source text): accuracy (%) with the image over 540 images from 21 public benchmarks in six reasoning categories; Qwen3-14B judges answer equivalence (yes/no), lenient extraction of answers after a missing </think> tag. Source: arxiv.org. Saturation forecast: Around April 2028. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.5 9B | 42 |
| 2 | Qwen 3.5 397B A17B | 38.4 |
| 3 | Gemini 2.5 Pro | 35.9 |
| 4 | GPT-5 Mini | 33.3 |
| 5 | Claude Sonnet 4.6 | 31.6 |
| 6 | Gemini 3.1 Flash Lite | 27.3 |
| 7 | InternVL3.5-8B | 15.9 |
| 8 | Phi-4 Multimodal Instruct | 10 |
Interactive version: theaggregate.ai/benchmark?slug=see-or-guess-vqa-vision-grounded · How It Works · Data refreshed daily, snapshot 2026-09-29.