Terminal-Bench 2.1 Extended
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.
Held-out extension of terminal-bench-2-1. Mercor shows the original and extended score for each model. The month is approximate. The Wayback Machine first saved the earliest extended pages on August 15th, 2026.
- Made by
- Mercor
- Released
- August 2026
- Kind
- Terminal tasks
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Public, plus a private test set
- Strongest model tested
- Claude Opus 5.5 #4 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Muse Wonder leads with 54%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 54.0
Muse Wonder
- 47.5 Claude Opus 5.5
- 46.0
Muse Spark Open
- 45.8 GPT-6.1 Sol
- 45.5 Grok 4.6
- 45.5 Claude Sonnet 5.5
- 44.4
Gemini 3.7 Flash
- 44.4
Gemini 3.8 Flash
- 42.4 GPT-6 Sol
- 40.1
Gemini 3.6 Flash
- 39.4 GLM-5.3
- 38.4
DeepSeek V4.1 Flash
- 38.0 GPT-5.5
- 38.0 Claude Opus 5
- 37.7 Claude Haiku 5.5
- 37.4 GPT-5.6 Sol
- 36.4 GPT-5.6 Terra
- 35.7 Beam
- 35.4 GPT-5.6 Luna
- 35.4
Qwen 3.8 Max
- 35.0
Gemini 3.1 Pro
- 33.3 Grok 4.5
- 33.3 GPT-6 Luna
- 32.7 Claude Opus 4.8
- 31.3 GPT-5.4
- 31.0 Kimi K3
- 30.0
DeepSeek-V4-Flash
- 30.0
DeepSeek V4 Pro 0813
- 30.0 GLM-5.3-Flash
- 28.9 Claude Sonnet 5
- 28.6
Gemini 3.5 Flash
- 27.9 GLM-5.2
- 27.6 Claude Opus 4.7
- 24.6
Inkling
- 23.6 Kimi K2.7 Code
- 22.2
MiniMax-M3
- 21.2
DeepSeek-V4-Pro
- 19.5 Claude Fable 5.1
- 17.8 Qwen3.5
- 17.5 Claude Sonnet 4.6
- 16.8 Claude Fable 5
- 15.2
DeepSeek-V3.2
- 11.8
Nemotron 3 Ultra
- 11.8 Grok 4.7
- 11.1 Kimi K2
- 10.1
MiniMax-M2.7
- 1
Muse Wonder max 54%
- 2 Claude Opus 5.5 max 47.5%
- 3
Muse Spark Open xhigh 46%
- 4 GPT-6.1 Sol max 45.8%
- 5 Grok 4.6 xhigh 45.5%
- 6 Claude Sonnet 5.5 max 45.5%
- 7
Gemini 3.7 Flash high 44.4%
- 8
Gemini 3.8 Flash high 44.4%
- 9 GPT-6 Sol max 42.4%
- 10
Gemini 3.6 Flash high 40.1%
- 11 GLM-5.3 max 39.4%
- 12
DeepSeek V4.1 Flash max 38.4%
- 13 GPT-5.5 xhigh 38%
- 14 Claude Opus 5 max 38%
- 15 Claude Haiku 5.5 max 37.7%
- 16 GPT-5.6 Sol xhigh 37.4%
- 17 GPT-5.6 Terra max 36.4%
- 18 Beam max 35.7%
- 19 GPT-5.6 Luna max 35.4%
- 20
Qwen 3.8 Max xhigh 35.4%
- 21
Gemini 3.1 Pro high 35%
- 22 Grok 4.5 high 33.3%
- 23 GPT-6 Luna max 33.3%
- 24 Claude Opus 4.8 max 32.7%
- 25 GPT-5.4 xhigh 31.3%
- 26 Kimi K3 max 31%
- 27
DeepSeek-V4-Flash max 30%
- 28
DeepSeek V4 Pro 0813 max 30%
- 29 GLM-5.3-Flash max 30%
- 30 Claude Sonnet 5 high 28.9%
- 31
Gemini 3.5 Flash high 28.6%
- 32 GLM-5.2 max 27.9%
- 33 Claude Opus 4.7 high 27.6%
- 34
Inkling high 24.6%
- 35 Kimi K2.7 Code high 23.6%
- 36
MiniMax-M3 high 22.2%
- 37
DeepSeek-V4-Pro max 21.2%
- 38 Claude Fable 5.1 max 19.5%
- 39 Qwen3.5 17.8%
- 40 Claude Sonnet 4.6 high 17.5%
- 41 Claude Fable 5 max 16.8%
- 42
DeepSeek-V3.2 15.2%
- 43
Nemotron 3 Ultra high 11.8%
- 44 Grok 4.7 xhigh 11.8%
- 45 Kimi K2 Sep 2025, high 11.1%
- 46
MiniMax-M2.7 high 10.1%
Source: Official Terminal-Bench 2.1 Extended leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 54% | max | Oct 2026 | Official leaderboard |
| 2 | Claude Opus 5.5 | 47.5% | max | Sep 2026 | Official leaderboard |
| 3 | | 46% | xhigh | Oct 2026 | Official leaderboard |
| 4 | GPT-6.1 Sol | 45.8% | max | Sep 2026 | Official leaderboard |
| 5 | Grok 4.6 | 45.5% | xhigh | Aug 2026 | Official leaderboard |
| 6 | Claude Sonnet 5.5 | 45.5% | max | Sep 2026 | Official leaderboard |
| 7 | | 44.4% | high | Aug 2026 | Official leaderboard |
| 8 | | 44.4% | high | Sep 2026 | Official leaderboard |
| 9 | GPT-6 Sol | 42.4% | max | Sep 2026 | Official leaderboard |
| 10 | | 40.1% | high | Jul 2026 | Official leaderboard |
| 11 | GLM-5.3 | 39.4% | max | Aug 2026 | Official leaderboard |
| 12 | | 38.4% | max | Sep 2026 | Official leaderboard |
| 13 | GPT-5.5 | 38% | xhigh | Apr 2026 | Official leaderboard |
| 14 | Claude Opus 5 | 38% | max | Jul 2026 | Official leaderboard |
| 15 | Claude Haiku 5.5 | 37.7% | max | Oct 2026 | Official leaderboard |
| 16 | GPT-5.6 Sol | 37.4% | xhigh | Jul 2026 | Official leaderboard |
| 17 | GPT-5.6 Terra | 36.4% | max | Jul 2026 | Official leaderboard |
| 18 | Beam | 35.7% | max | Official leaderboard | |
| 19 | GPT-5.6 Luna | 35.4% | max | Jul 2026 | Official leaderboard |
| 20 | | 35.4% | xhigh | Aug 2026 | Official leaderboard |
| 21 | | 35% | high | Feb 2026 | Official leaderboard |
| 22 | Grok 4.5 | 33.3% | high | Jul 2026 | Official leaderboard |
| 23 | GPT-6 Luna | 33.3% | max | Sep 2026 | Official leaderboard |
| 24 | Claude Opus 4.8 | 32.7% | max | May 2026 | Official leaderboard |
| 25 | GPT-5.4 | 31.3% | xhigh | Mar 2026 | Official leaderboard |
| 26 | Kimi K3 | 31% | max | Jul 2026 | Official leaderboard |
| 27 | | 30% | max | Apr 2026 | Official leaderboard |
| 28 | | 30% | max | Aug 2026 | Official leaderboard |
| 29 | GLM-5.3-Flash | 30% | max | Aug 2026 | Official leaderboard |
| 30 | Claude Sonnet 5 | 28.9% | high | Jun 2026 | Official leaderboard |
| 31 | | 28.6% | high | May 2026 | Official leaderboard |
| 32 | GLM-5.2 | 27.9% | max | Jun 2026 | Official leaderboard |
| 33 | Claude Opus 4.7 | 27.6% | high | Apr 2026 | Official leaderboard |
| 34 | | 24.6% | high | Jul 2026 | Official leaderboard |
| 35 | Kimi K2.7 Code | 23.6% | high | Jun 2026 | Official leaderboard |
| 36 | | 22.2% | high | Jun 2026 | Official leaderboard |
| 37 | | 21.2% | max | Apr 2026 | Official leaderboard |
| 38 | Claude Fable 5.1 | 19.5% | max | Sep 2026 | Official leaderboard |
| 39 | Qwen3.5 | 17.8% | Official leaderboard | ||
| 40 | Claude Sonnet 4.6 | 17.5% | high | Feb 2026 | Official leaderboard |
| 41 | Claude Fable 5 | 16.8% | max | Jun 2026 | Official leaderboard |
| 42 | | 15.2% | Dec 2025 | Official leaderboard | |
| 43 | | 11.8% | high | Jun 2026 | Official leaderboard |
| 44 | Grok 4.7 | 11.8% | xhigh | Sep 2026 | Official leaderboard |
| 45 | Kimi K2 Sep 2025 | 11.1% | high | Sep 2025 | Official leaderboard |
| 46 | | 10.1% | high | Mar 2026 | Official leaderboard |
More effort adds a median 3 points
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official Terminal-Bench 2.1 Extended leaderboard
4 models have held number one on the official leaderboard since its release in August 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official Terminal-Bench 2.1 Extended 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 Terminal-Bench 2.1 Extended 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 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%
- CompileBench Not in model cards Agents build real open-source projects through dependency problems, legacy toolchains and complex build systems, for example compiling 22-year-old code. Claude Opus 4.1 100%