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Mini toolsTerminal-Bench 2.1
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Terminal-Bench 2.1 evaluates AI agents on 89 hard, realistic tasks in command-line terminal environments inspired by real workflows, spanning domains such as compiling code, training models, and setting up servers. Each task features a unique environment, a human-written reference solution, and comprehensive automated tests for verification; frontier models currently score under 65%.
Agentic
Text
Accuracy
Max 100.0%
Released Jan 2026
1
Results
1
Models scored
81.0%
Top: GLM 5.2
81.0%
Median
Best results
Top primary scores; one row per model.
Frontier over time
Each dot is one model result; the line traces the running best score.
Not enough data to plot a trend yet.
All results
Showing one canonical row per model. Show all configurations
| # | Model | Score | Conditions | Eval date | Source | Flags |
|---|---|---|---|---|---|---|
| 1 | GLM 5.2 | 81.0% | 0-shot · standard | — | Self-reported | Primary |
