Terminal-Bench 2.0

Terminal-Bench 2.0 is an updated benchmark for testing AI agents' tool use ability to operate a computer via terminal. It evaluates how well models can handle real-world, end-to-end tasks autonomously, including compiling code, training models, setting up servers, system administration, security tasks, data science workflows, and cybersecurity vulnerabilities.

GPT-5.5 from OpenAI currently leads the Terminal-Bench 2.0 leaderboard with a score of 0.827 across 39 evaluated AI models.

OpenAIGPT-5.5 leads with 82.7%, followed by AnthropicClaude Mythos Preview at 82.0% and OpenAIGPT-5.3 Codex at 77.3%.

Progress Over Time

Interactive timeline showing model performance evolution on Terminal-Bench 2.0

State-of-the-art frontier
Open
Proprietary

Terminal-Bench 2.0 Leaderboard

39 models
ContextCostLicense
1
OpenAI
OpenAI
1.1M$5.00 / $30.00
2
3400K$1.75 / $14.00
4
OpenAI
OpenAI
1.0M$2.50 / $15.00
51.0M$5.00 / $25.00
6
Zhipu AI
Zhipu AI
754B200K$1.40 / $4.40
71.0M$2.50 / $15.00
81.6T1.0M$1.74 / $3.48
9
Moonshot AI
Moonshot AI
1.0T262K$0.95 / $4.00
101.0M$5.00 / $25.00
11400K$1.75 / $14.00
12
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
13400K$0.75 / $4.50
14200K$5.00 / $25.00
14
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
16200K$3.00 / $15.00
17
181.0T
19205K$0.30 / $1.20
20284B1.0M$0.14 / $0.28
21
Zhipu AI
Zhipu AI
744B200K$1.00 / $3.20
22
23400K$1.25 / $10.00
24
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
397B262K$0.60 / $3.60
25
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
26196B66K$0.10 / $0.40
27
Moonshot AI
Moonshot AI
1.0T
28
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
291.0M$0.50 / $3.00
30685B
30685B164K$0.26 / $0.38
30685B
33400K$0.20 / $1.25
34
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
35
Zhipu AI
Zhipu AI
358B205K$0.60 / $2.20
36
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
37309B
38
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
480B
39120B
Notice missing or incorrect data?

FAQ

Common questions about Terminal-Bench 2.0.

What is the Terminal-Bench 2.0 benchmark?

Terminal-Bench 2.0 is an updated benchmark for testing AI agents' tool use ability to operate a computer via terminal. It evaluates how well models can handle real-world, end-to-end tasks autonomously, including compiling code, training models, setting up servers, system administration, security tasks, data science workflows, and cybersecurity vulnerabilities.

What is the Terminal-Bench 2.0 leaderboard?

The Terminal-Bench 2.0 leaderboard ranks 39 AI models based on their performance on this benchmark. Currently, GPT-5.5 by OpenAI leads with a score of 0.827. The average score across all models is 0.564.

What is the highest Terminal-Bench 2.0 score?

The highest Terminal-Bench 2.0 score is 0.827, achieved by GPT-5.5 from OpenAI.

How many models are evaluated on Terminal-Bench 2.0?

39 models have been evaluated on the Terminal-Bench 2.0 benchmark, with 0 verified results and 39 self-reported results.

What categories does Terminal-Bench 2.0 cover?

Terminal-Bench 2.0 is categorized under reasoning, tool calling, agents, and code. The benchmark evaluates text models.

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