DeepTerminalBench
Agents get one attempt at each of 50 deep engineering tasks in Docker, in the Terminal-Bench 2.0 format. A task passes only if every hidden test passes. Tasks were calibrated so Claude Opus 4.6 still fails some at pass@4.
Runs on Harbor with the terminus-2 agent and a 90-minute limit per task. The first release covered 9 frontier models. Tasks span more than 20 engineering domains.
- Made by
- UniPat AI
- Released
- May 2026
- Kind
- Terminal tasks
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- GPT-5.5 #20 on the capability index
- Last model added
- April 2026
- Scores refreshed
- November 12th, 2026
Claude Opus 4.7 leads with 34% among models released by April 2026
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
The newest model with a score here came out in April 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon - GPT-6 Astra
- Claude Opus 5.5
- and 15 more
- 1 Claude Opus 4.7 34%
- 2
Qwen 3.6 Plus 32% - 3 Kimi K2.6 32%
- 4 GPT-5.5 high 32%
- 5
DeepSeek-V4-Pro 32% - 6 GLM-5.1 30%
- 7 Qwen3.5 397B-A17B 24%
- 8 Gemini 3.1 Pro 16%
- 9
MiniMax-M2.7 10%
Source: Official DeepTerminalBench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.7 | 34% | terminus-2 | Apr 2026 | Official leaderboard |
| 2 | Qwen 3.6 Plus | 32% | terminus-2 | Mar 2026 | Official leaderboard |
| 3 | Kimi K2.6 | 32% | terminus-2 | Apr 2026 | Official leaderboard |
| 4 | GPT-5.5 | 32% | high, terminus-2 | Apr 2026 | Official leaderboard |
| 5 | DeepSeek-V4-Pro | 32% | terminus-2 | Apr 2026 | Official leaderboard |
| 6 | GLM-5.1 | 30% | terminus-2 | Apr 2026 | Official leaderboard |
| 7 | Qwen3.5 397B-A17B | 24% | terminus-2 | Feb 2026 | Official leaderboard |
| 8 | Gemini 3.1 Pro | 16% | terminus-2 | Feb 2026 | Official leaderboard |
| 9 | MiniMax-M2.7 | 10% | terminus-2 | Mar 2026 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official DeepTerminalBench leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official DeepTerminalBench leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Terminal agents
- SkillsBench In use 86-87 containerized expert tasks in 11 domains, run with and without Agent Skills. Verifier tests give pass rate and skill lift. GPT-5.5 67.3%
- Terminal-Bench Hard In use Agents complete 44 hard tasks from Terminal-Bench Core in the Terminus 2 harness. Artificial Analysis scores pass@1 averaged over 3 repeats. Gemma 4 31B IT 36%
- Harbor-Index In use Agents solve about 80 hard tasks drawn from 29 benchmarks run through Harbor adapters, such as HLE, GSO and SWE-bench Pro. Each task keeps its source verifier. GPT-5.5 28.1%
- Terminal-Bench 2.1 Extended Not in model cards Agents complete long command-line tasks in containers, scored by verification tests. Mercor adds 99 new expert-written tasks to the 89 public ones and reports both scores.
Muse Wonder 54% - Terminal-Bench 4.1 Not in model cards The Terminal-Bench 4.0 tasks with hardened verifiers: agents complete 66 hard tasks in containerized terminals across software, ML, science, security, and operations. Test scripts verify each result, scored as resolution rate. Claude Opus 5.5 65.8%
- o11y-bench Not in model cards Agents query metrics, logs and traces in a live Grafana stack, investigate incidents and fix dashboards. Grading checks claims against facts read from the same environment. Claude Opus 5.5 93.8%