SuiChat-CN: leaderboard
Suicide is a critical global public health challenge, causing approximately 720,000 deaths each year and calling for timely, effective prevention strategies. Existing computational studies primarily focus on post-based social media platforms such as Twitter and Weibo, leaving instant messaging environments such as Telegram underexplored. Yet group chats pose distinct challenges: messages are short
Metric: Standard F1 (self-reported). Source: benchmarklist.com. Saturation forecast: Around July 2027. 44 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Kimi K2 | 76.3 | #243 |
| 2 | Gemini 2.5 Pro | 75.9 | #152 |
| 3 | GLM-4 32B (0414) | 74.7 | #533 |
| 4 | Seed-OSS-36B-Instruct | 74.5 | #366 |
| 5 | Qwen 3.5 Plus | 74.2 | #125 |
| 6 | Llama 3.3 70B | 71.6 | #579 |
| 7 | DeepSeek R1 | 71.5 | #251 |
| 8 | Kimi K2.5 | 71.1 | #144 |
| 9 | GPT-5 | 70.7 | #98 |
| 10 | DeepSeek V3 | 70.6 | #321 |
| 11 | Qwen 3 235B A22B | 70.5 | #313 |
| 12 | Qwen 3 32B | 70.2 | #443 |
| 13 | Qwen 3.5 397B A17B | 69.5 | #146 |
| 14 | GLM-5.1 | 69.5 | #97 |
| 15 | Kimi K2.6 | 69.4 | #104 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=suichat-cn · How It Works · Data refreshed daily, snapshot 2026-10-20.