HAERAE-Vision - Natural Objects: leaderboard

The 92 natural-object questions of HAERAE-Vision (What Users Leave Unsaid, Choi et al., ACL 2026 Findings): real Korean community questions that ask to identify or explain pictured animals, plants and insects, in the users' original under-specified wording. A GPT-5-mini judge scores each answer against a 1-5 item checklist (met 1, partly met 0.5, not met 0); the score is the mean checklist credit per question, in percent, averaged over three runs; higher is better.

Metric: Checklist Score (%; original under-specified queries, GPT-5-mini judge, mean of 3 runs). Source: arxiv.org. Saturation forecast: Around February 2027. 45 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro53.45#262
2GPT-553.42#163
3Gemini 2.5 Flash44.37#452
4GPT-5 Mini41.17#349
5Qwen 3 VL 235B A22B Instruct37.44#521
6Qwen 3 VL 30B A3B (Thinking)35.46#710
7Qwen 3 VL 32B (Thinking)35.04#557
8Qwen 3 VL 32B Instruct34.43#582
9Qwen 3 VL 235B A22B (Thinking)33.04#451
10Grok 430.29#306
11Qwen 3 VL 8B (Thinking)28.75#887
12Gemini 2.5 Flash Lite27.16#958
13Qwen 3 VL 4B (Thinking)25.31#1303
14GPT-5 Nano25.27#888
15Qwen 3 VL 30B A3B Instruct25.17#870

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

Interactive version: theaggregate.ai/benchmark?slug=haerae-vision-natural-objects · How It Works · Data refreshed daily, snapshot 2026-11-12.