PlanBench-V: leaderboard

PlanBench-V (2026) tests vision-language models on interpreting Chinese territorial spatial planning maps with questions curated by professional planners; a GPT-4o-mini judge scores each answer from 0 to 2 against reference answers with annotated critical points. The board is the overall mean score on a 300-item stratified subset of eight tasks; higher is better.

Metric: Overall mean score (out of 2) on a 300-item stratified subset of the eight tasks; answers to expert-curated questions on Chinese territorial spatial planning maps are scored 0 to 2 by a GPT-4o-mini judge (temperature 0) against structured reference answers with annotated critical points; objective items use exact match or semantic similarity; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.6 Plus1.7#222
2Gemini 2.5 Pro1.47#266
3GPT-5.41.43#123
4Kimi K2.61.42#178
5Claude Opus 4.71.38#79
6Qwen 3.6 Flash1.35#424
7GPT-4o1.34#741
8Qwen 2.5 VL 7B Instruct1.05#1833
9InternVL3-14B0.98#1182
10Qwen 2 VL 7B0.91#2261
11InternVL3-8B0.91#1688
12GPT-4o Mini0.87#1623
13Qwen 2 VL 2B0.73#6284

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

Interactive version: theaggregate.ai/benchmark?slug=planbench-v · How It Works · Data refreshed daily, snapshot 2026-11-13.