CPCD-Bench: leaderboard
In recent years, large language models have shown substantial potential in psychological support tasks. However, existing psychological counseling data mostly rely on single-turn question answering or short multi-turn dialogues, making it difficult to characterize how college students' psychological distress accumulates, interacts, and gradually evolves over long periods within campus life events.
Metric: SR (LLM-as-a-Judge) (self-reported). Source: benchmarklist.com. Saturation forecast: Around May 2027. 14 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.4 | 4.78 | #79 |
| 2 | Gemini 3 Flash (Preview) | 4.46 | #82 |
| 3 | DeepSeek V3.2 | 4.4 | #205 |
| 4 | Qwen 3 Max | 4.23 | #208 |
| 5 | Kimi K2.5 | 4.21 | #144 |
| 6 | GLM-5.1 | 4.2 | #97 |
| 7 | MiniMax-M2.7 | 4.17 | #258 |
| 8 | Gemini 2.5 Flash | 3.97 | #245 |
| 9 | Qwen 3 8B | 3.62 | #674 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=cpcd-bench · How It Works · Data refreshed daily, snapshot 2026-10-20.