Wafer map analysis on Wafer map analysis dataset
44.9Overall ScoreQwen3-4B-RL
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Qwen3-4B-RLTraining=Reinforcement Learning (RL)2026.04 | 44.9 | 44 | 46.1 | 44.6 | |
| Gemini-3-Flash2026.04 | 42.2 | 40.8 | 42.5 | 43.4 | |
| Gemini-3.1-pro-preview2026.04 | 41.4 | 40.5 | 40.6 | 43.2 | |
| Qwen3-8B-RLTraining=Reinforcement Learning (RL)2026.04 | 41.1 | 41.4 | 40.2 | 41.8 | |
| Qwen3-4B-SFTTraining=Supervised Fine-Tuning (SFT)2026.04 | 40.3 | 43.2 | 35.3 | 42.5 | |
| Qwen3-8B-SFTTraining=Supervised Fine-Tuning (SFT)2026.04 | 38.8 | 39.5 | 35.4 | 41.3 | |
| Qwen3.5-plus2026.04 | 33.5 | 36.5 | 34.3 | 29.7 | |
| GLM-4.6V2026.04 | 33.5 | 35.4 | 33.1 | 31.9 | |
| Gemma-3-12B2026.04 | 33.4 | 36.5 | 33.9 | 29.9 | |
| Qwen3.5-122B-A10BArchitecture=MoE, Total Params=122B, Active Params=10B2026.04 | 33.1 | 34.7 | 32.1 | 32.5 | |
| seed-1.62026.04 | 31.8 | 34.5 | 31.7 | 29.3 | |
| Qwen3.5-35B-A3BArchitecture=MoE, Total Params=35B, Active Params=3B2026.04 | 31.6 | 32.1 | 32.9 | 29.8 | |
| Qwen3.5-397B-A17BArchitecture=MoE, Total Params=397B, Active Params=17B2026.04 | 31.3 | 35 | 30.9 | 28.1 | |
| Gemma-3-27B2026.04 | 31.1 | 30.7 | 31 | 31.7 | |
| Qwen3-8BType=Base2026.04 | 30.1 | 31.4 | 30.9 | 28.1 | |
| Qwen3-30B-A3BArchitecture=MoE, Total Params=30B, Active Params=3B2026.04 | 29.3 | 28.2 | 34.5 | 25.2 | |
| Qwen3-4BType=Base2026.04 | 29.2 | 26.6 | 32.3 | 28.7 | |
| Qwen3-235B-A22BArchitecture=MoE, Total Params=235B, Active Params=22B2026.04 | 28.8 | 30.4 | 33.6 | 22.6 | |
| Qwen3-32B2026.04 | 27.6 | 28.4 | 28.1 | 26.3 | |
| gpt5-mini2026.04 | 26.9 | 25.8 | 26.9 | 27.9 | |
| Kimi-k2.52026.04 | 26.1 | 26.7 | 26.1 | 25.6 |