Benchmark
Wild Bench
general
reasoning
text
WildBench is an automated evaluation framework that benchmarks large language models using 1,024 challenging, real-world tasks selected from over one million human-chatbot conversation logs. It introduces two evaluation metrics (WB-Reward and WB-Score) that achieve high correlation with human preferences and uses task-specific checklists for systematic evaluation.
语言EN
满分1
参评模型4
模型排名
| 名次 | 模型 | 机构 | 分数 | 来源 |
|---|---|---|---|---|
| 1 | Mistral Small 3.2 24B Instruct | Mistral AI | 65.3 | 来源 ↗ |
| 2 | Mistral Small 3 24B Instruct | Mistral AI | 52.2 | 来源 ↗ |
| 3 | Jamba 1.5 Large | AI21 Labs | 48.5 | 来源 ↗ |
| 4 | Jamba 1.5 Mini | AI21 Labs | 42.4 | 来源 ↗ |