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Terminal-Bench 2.1
Terminal-Bench 2.0 的验证刷新版:89 个精选任务,涵盖软件工程、系统管理、数据处理、模型训练和安全,并修复了环境与指令问题,使分数反映智能体能力而非环境缺陷。
- 模型
- 114 当前,243 总共
- 中位数
- 38.6%
- 范围
- 0.0%–89.9%
| 排名 | 比较 | 模型 | 评分 |
|---|---|---|---|
| 101 | Ministral 3 8B Mistral | 4.1% | |
| 102 | Llama 4 Scout Meta | 3.7% | |
| 103 | 3.7% | ||
| 104 | Qwen3.5 2B (Reasoning) Alibaba | 3.0% | |
| 105 | Gemma 4 E4B (Reasoning) Google | 1.9% | |
| 106 | K2 Horizon 0.9B Institute of Foundation Models | 1.1% | |
| 107 | Nanbeige4.1-3B Nanbeige | 1.1% | |
| 108 | Gemma 4 E2B (Reasoning) Google | 0.4% | |
| 109 | Phi-4 Mini Instruct Microsoft | 0.4% | |
| 110 | Qwen3.5 0.8B (Non-reasoning) Alibaba | 0.4% | |
| 111 | MiniCPM-V 4.6 1.3B OpenBMB | 0.0% | |
| 112 | Ministral 3 3B Mistral | 0.0% | |
| 113 | Qwen3.5 0.8B (Reasoning) Alibaba | 0.0% | |
| 114 | Qwen3.5 2B (Non-reasoning) Alibaba | 0.0% |