Benchmarks · coding
Terminal-Bench Hard-AA
Terminal-Bench Hard (AA subset of Terminal-Bench 2.0): agentic terminal tasks; pass rate.
94 models · 153 results · data as of 2026-10-29 · artificialanalysis.ai ↗
Leaderboard
GPT-5.6 Sol max
More from this benchmark
3 published measuresScore vs any published measure3 measures: sub-scores, splits, counts
Breakdown
darker is better within each column · click a column to sort| Model | |||
|---|---|---|---|
| GPT-5.6 Sol max | 16,358,013 | 366,802 | 790,444 |
| GPT-5.6 Terra xhigh | 14,777,730 | 365,794 | 795,807 |
| GPT-5.5 xhigh | 10,724,099 | 314,767 | 1,194,345 |
| Opus 4.8 max | 21,452,947 | 521,326 | 3,884,471 |
| GPT-5.4 xhigh | 10,940,398 | 409,890 | 3,589,900 |
| GPT-5.3 Codex xhigh | 12,901,454 | 316,781 | 1,093,953 |
| GPT-5.4 Mini xhigh | 12,829,252 | 467,667 | 10,309,236 |
| Opus 4.7 max | 17,034,960 | 259,548 | 1,918,164 |
| GLM 5.2 max | 36,573,753 | 496,129 | 2,207,527 |
| Qwen 3.7 Max | 18,903,511 | 476,374 | 1,493,149 |
| GPT-5.2 xhigh | 11,919,956 | 246,393 | 3,405,125 |
| Qwen 3.7 Plus | 21,178,291 | 497,863 | 1,807,925 |
| Sonnet 4.6 none | 22,926,094 | 850,970 | 0 |
| DeepSeek V4 Pro 0424 max | 25,360,126 | 542,074 | 2,618,683 |
| Gemini 3.5 Flash minimal | 22,753,325 | 561,962 | 0 |
| Muse Spark | 19,467,877 | 292,114 | 431,315 |
| GPT-5.1 high | 11,706,284 | 455,528 | 2,236,397 |
| Kimi K2.7 Code | 25,001,767 | 323,441 | 651,186 |
| Kimi K2.6 | 20,714,796 | 305,984 | 798,222 |
| Qwen 3.6 Plus | 22,478,413 | 611,716 | 2,835,005 |
| GLM 5.1 | 11,538,510 | 366,555 | 1,166,881 |
| GLM 5 | 22,610,444 | 543,425 | 413,645 |
| MiMo V2.5 Pro | 25,829,918 | 832,854 | 28.0 |
| GPT-5.4 Nano xhigh | 21,245,584 | 626,641 | 6,631,027 |
| MiniMax M3 | 27,938,791 | 761,966 | 33,713 |
All results
153 rows| # | Model | Effort | Terminal-Bench Hard-AA |
|---|---|---|---|
| 1 | GPT-5.6 Sol | max | 65.9% |
| 2 | GPT-5.6 Sol | medium | 62.9% |
| 3 | GPT-5.6 Terra | xhigh | 62.9% |
| 4 | GPT-5.6 Sol | high | 62.1% |
| 5 | GPT-5.6 Sol | xhigh | 61.4% |
| 6 | GPT-5.5 | xhigh | 60.6% |
| 7 | GPT-5.6 Sol | low | 60.6% |
| 8 | GPT-5.5 | high | 59.8% |
| 9 | Opus 4.8 | max | 58.3% |
| 10 | GPT-5.4 | xhigh | 57.6% |
| 11 | GPT-5.5 | medium | 57.6% |
| 12 | GPT-5.6 Terra | high | 57.6% |
| 13 | GPT-5.6 Terra | max | 57.6% |
| 14 | GPT-5.3 Codex | xhigh | 53.0% |
| 15 | GPT-5.4 Mini | xhigh | 52.3% |
| 16 | GPT-5.5 | low | 52.3% |
| 17 | Opus 4.7 | max | 51.5% |
| 18 | GLM 5.2 | max | 50.8% |
| 19 | Qwen 3.7 Max | max | 50.8% |
| 20 | GPT-5.5 | none | 49.2% |
| 21 | GPT-5.2 | xhigh | 47.0% |
| 22 | Qwen 3.7 Plus | 47.0% | |
| 23 | Sonnet 4.6 | none | 46.2% |
| 24 | DeepSeek V4 Pro 0424 | max | 46.2% |
| 25 | Gemini 3.5 Flash | minimal | 46.2% |
| 26 | Muse Spark | 45.5% | |
| 27 | GPT-5.1 | high | 45.5% |
| 28 | Kimi K2.7 Code | 44.7% | |
| 29 | GPT-5.6 Terra | low | 43.9% |
| 30 | Kimi K2.6 | 43.9% |