Qwen2.5-VL-72B-Instruct-AWQ: benchmark results

Provider: Alibaba. Access: Open.

Aggregate Rating 1634 ± 50, rank #730 of 10916 rated models, from 12 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
PlanBench-V - Classification1.41Mean score (out of 2) on classifying planning maps by type w78.1
PlanBench-V - Element Recognition1.3Mean score (out of 2) on element recognition (map layout, te75
PlanBench-V - Caption1.83Mean score (out of 2) on map captioning, perception level; a71.9
MedCUA-Bench6.2Strict success rate (%) over all 432 screenshot-only clinica62.5
MedCUA-Bench - Intent Goals6.9Strict success rate (%) on the 216 intent-goal tasks (the cl62.5
MedCUA-Bench - Step Goals5.6Strict success rate (%) on the 216 step-goal tasks (the same62.5
PlanBench-V - Scheme Evaluation1.15Mean score (out of 2) on judging the strengths and weaknesse62.5
PlanBench-V1.29Overall mean score (out of 2) on a 300-item stratified subse56.2
PlanBench-V - Decision Making1.09Mean score (out of 2) on choosing between planning alternati50
PlanBench-V - Domain-Specific Reasoning1.26Mean score (out of 2) on domain-specific planning reasoning 50
PlanBench-V - Policy Association1.25Mean score (out of 2) on linking map evidence to planning po50
PlanBench-V - Spatial Relationship Reasoning1.25Mean score (out of 2) on topological, ordinal and metric spa50

Interactive version: theaggregate.ai/model?slug=qwen2-5-vl-72b-instruct-awq · How It Works · Data refreshed daily, snapshot 2026-11-08.