Qwen 3.6 Plus (Thinking): benchmark results
Provider: Alibaba. Released 2026-04-02. Access: API.
Aggregate Rating 1692 ± 10, rank #391 of 2201 rated models, from 111 benchmark results.
Strongest benchmark results
| Benchmark | Score | Metric | Percentile |
|---|---|---|---|
| HPR-Bench - Tag Inference | 73.29 | Avg@10 Tag Accuracy (%; mean of 10 samples over 18 profile t | 100 |
| HPR-Bench - Tag Inference - Geographic Context | 79.93 | Avg@10 Tag Accuracy (%; mean of 10 samples) | 100 |
| HPR-Bench - Tag Inference - Life Stage | 79.07 | Avg@10 Tag Accuracy (%; mean of 10 samples) | 100 |
| PortBench-QA - Position Sizing | 96.8 | Item score (%; fixed-fractional sizing from a drawdown limit | 100 |
| HPR-Bench - Tag Inference - Household Context | 59.65 | Avg@10 Tag Accuracy (%; mean of 10 samples) | 92.9 |
| PortBench-QA - VaR Estimation | 85.8 | Item score (%; historical-simulation value at risk from a su | 88.9 |
| SuperCLUE-VLM (April 2026) - Overall | 86.73 | Score | 81.2 |
| Hy-MultiTurn - Precise Execution | 82.2 | Importance-weighted score (%) on the 35 precise execution di | 81 |
| MMCL-Bench | 20.6 | Overall (self-reported) | 80 |
| MMCL-Bench - Rule System Application | 28.6 | Strict task pass rate (%) on the 49 rule-system tasks (a tas | 80 |
| HPR-Bench - Tag Inference - Lifestyle Indicators | 69.91 | Avg@10 Tag Accuracy (%; mean of 10 samples) | 78.6 |
| MapSatisfyBench - Implicit Intent Satisfaction | 67.83 | Implicit-intent satisfaction rate (%): evidence-weighted sat | 78.6 |
Interactive version: theaggregate.ai/model?slug=qwen-3-6-plus-thinking · How It Works · Data refreshed daily, snapshot 2026-11-12.