Terminal-Bench
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About
Terminal-Bench is a comprehensive evaluation framework measuring AI agents' mastery of terminal and command-line interface tasks across diverse domains including scientific workflows, network configuration, data analysis, and cybersecurity. Featuring 80 hand-crafted, human-verified tasks with dedicated Docker environments, this benchmark tests agents' ability to complete complex terminal-based operations in realistic computing environments.
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Evaluation Stats
Total Models13
Organizations4
Verified Results0
Self-Reported13
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Benchmark Details
Max Score1
Language
en
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Performance Overview
Score distribution and top performers
Score Distribution
13 models
Top Score
50.0%
Average Score
33.9%
High Performers (80%+)
0Top Organizations
#1Anthropic
5 models
40.6%
#2Zhipu AI
3 models
36.0%
#3Moonshot AI
2 models
27.5%
#4DeepSeek
3 models
24.9%
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Leaderboard
13 models ranked by performance on Terminal-Bench
| License | Links | ||||
|---|---|---|---|---|---|
| Sep 29, 2025 | Proprietary | 50.0% | |||
| Aug 5, 2025 | Proprietary | 43.3% | |||
| Sep 30, 2025 | MIT | 40.5% | |||
| May 22, 2025 | Proprietary | 39.2% | |||
| Sep 29, 2025 | MIT | 37.7% | |||
| Jul 28, 2025 | MIT | 37.5% | |||
| May 22, 2025 | Proprietary | 35.5% | |||
| Feb 24, 2025 | Proprietary | 35.2% | |||
| Jan 10, 2025 | MIT | 31.3% | |||
| Jul 11, 2025 | MIT | 30.0% |
Showing 1 to 10 of 13 models