Qwen 3.6 Plus: benchmark results

Alibaba Qwen 3.6 Plus model for high-end chat, coding, and reasoning workloads. Provider: Alibaba. Released 2026-04-02. Access: API.

Aggregate Rating 1750 ± 3, rank #120 of 1656 rated models, from 1306 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
AARRI-Bench (Hermes Agent) - Hands-on64.3Task success rate (%) under the 0/1 reward on the hands-on t100
AARRI-Bench (Mini-SWE-Agent) - Hands-on64.3Task success rate (%) under the 0/1 reward on the hands-on t100
ArabicDialectSafety - Unsafe Response Rate0.2Unsafe response rate (%; share of 500 stratified harmful dia100
BIM-Edit - Topology47.77Topology score (0-100): weighted F1 of edited nodes (0.3) an100
CC-OCR V275.77Average (self-reported)100
CUDABeaver - Pass@115.5Share of the 213 broken-start CUDA debugging tasks (%) whose100
CalBench - Uniform Costs - Coordination93.33Coordination (%)100
From Knowing to Doing85.29Total ret. (self-reported)100
HIDBench - NodLink HW2073.9Matthews correlation coefficient of malicious-event detectio100
HPR-Bench - Tag Inference73.29Avg@10 Tag Accuracy (%; mean of 10 samples over 18 profile t100
HPR-Bench - Tag Inference - Geographic Context79.93Avg@10 Tag Accuracy (%; mean of 10 samples)100
HPR-Bench - Tag Inference - Life Stage79.07Avg@10 Tag Accuracy (%; mean of 10 samples)100

Interactive version: theaggregate.ai/model?slug=qwen-3-6-plus · How It Works · Data refreshed daily, snapshot 2026-10-20.