Terminal-Bench 2.1 (AA) leaderboard
As of 9 Nov 2026, the top score on Terminal-Bench 2.1 (AA) is 91.4% by Claude Fable 5.1 (Anthropic), ahead of GPT-6 Astra at 89.9%, across 240 model configurations with a published result (Artificial Analysis, result dated 1 Sep 2026). The previous Terminal-Bench release, kept because far more models have been run on it than on 4.0. Terminal-Bench 2.1 (AA) is shown for reference only and does not count toward the BenchLeader Index.
Key facts (as of 9 Nov 2026)
- Claude Fable 5.1 holds the top Terminal-Bench 2.1 (AA) score at 91.4% (Artificial Analysis, 1 Sep 2026).
- GPT-6 Astra is second on Terminal-Bench 2.1 (AA) at 89.9% (Artificial Analysis, 3 Sep 2026).
- Terminal-Bench 2.1 (AA): The previous Terminal-Bench release, kept because far more models have been run on it than on 4.0 (Artificial Analysis).
- 240 model configurations have a published Terminal-Bench 2.1 (AA) result on BenchLeader (BenchLeader, 9 Nov 2026).
- Terminal-Bench 2.1 (AA) does not feed the BenchLeader Index; it is shown for reference (BenchLeader methodology).
The previous Terminal-Bench release, kept because far more models have been run on it than on 4.0.
- Published by
- Artificial Analysis
- Category
- Coding
- Index weight
- Reference only
- Models
- 240
- Data as of
- 9 Nov 2026
Source: Artificial Analysis (artificialanalysis.ai). Data taken from the public leaderboard.
- 1Claude Fable 5.1 (max)91.4%
- 2Claude Fable 5.1 (xhigh)91.0%
- 3GPT-6 Astra (high)89.9%
- 4Claude Fable 5.1 (high)89.9%
- 5GPT-6 Astra (medium)89.5%
- 6GPT-5.6 Sol (xhigh)89.5%
- 7GPT-6 Astra (xhigh)89.1%
- 8Claude Opus 5 (max)89.1%
- 9Qwen3.8 Max (max)88.8%
- 10GPT-6 Astra (max)88.4%
- 11Grok 4.6 (high)88.4%
- 12GPT-5.6 Sol (max)88.0%
- 13GPT-6 Astra (low)88.0%
- 14Claude Fable 5.1 (medium)88.0%
- 15GPT-5.6 Terra (max)88.0%
| # | ||||
|---|---|---|---|---|
| 1 | 91.4% | 66.9 | 2026-09-01 | |
| 2 | 91.0% | 64.6 | 2026-09-01 | |
| 3 | 89.9% | 66.5 | 2026-09-03 | |
| 4 | 89.9% | 63.3 | 2026-09-01 | |
| 5 | 89.5% | 64.5 | 2026-09-03 | |
| 6 | 89.5% | 64.2 | 2026-07-09 | |
| 7 | 89.1% | 66.2 | 2026-09-03 | |
| 8 | 89.1% | 65.1 | 2026-07-24 | |
| 9 | 88.8% | 58.9 | 2026-09-02 | |
| 10 | 88.4% | 67.4 | 2026-09-03 | |
| 11 | 88.4% | 60.5 | 2026-08-12 | |
| 12 | 88.0% | 65.4 | 2026-07-09 | |
| 13 | 88.0% | 62.2 | 2026-09-03 | |
| 14 | 88.0% | 61.7 | 2026-09-01 | |
| 15 | 88.0% | 60.5 | 2026-07-09 | |
| 16 | 88.0% | 60.1 | 2026-07-24 | |
| 17 | 88.0% | 57.6 | 2026-08-12 | |
| 18 | 87.6% | 64.2 | 2026-07-24 | |
| 19 | 87.6% | 61.8 | 2026-09-02 | |
| 20 | 87.3% | 63.5 | 2026-07-09 | |
| 21 | 86.1% | 61.4 | 2026-07-09 | |
| 22 | 86.1% | 57.4 | 2026-07-24 | |
| 23 | 86.1% | 54.4 | 2026-08-26 | |
| 24 | 85.8% | 62.2 | 2026-08-13 | |
| 25 | 85.4% | 58.1 | 2026-09-02 | |
| 26 | 85.0% | 62.0 | 2026-07-16 | |
| 27 | 85.0% | 58.7 | 2026-09-01 | |
| 28 | 84.6% | 65.3 | 2026-06-09 | |
| 29 | 84.6% | 60.2 | 2026-05-28 | |
| 30 | 84.3% | 64.3 | 2026-04-23 | |
| 31 | 84.3% | 61.7 | 2026-09-02 | |
| 32 | 84.3% | 59.5 | 2026-08-12 | |
| 33 | 84.3% | 56.8 | 2026-08-26 | |
| 34 | 83.9% | 60.3 | 2026-09-02 | |
| 35 | 83.9% | 58.9 | 2026-08-18 | |
| 36 | 83.2% | 59.5 | 2026-04-16 | |
| 37 | 83.2% | 55.9 | 2026-09-02 | |
| 38 | 82.4% | 53.7 | 2026-07-16 | |
| 39 | 82.0% | 51.6 | 2026-08-12 | |
| 40 | 81.7% | 56.8 | 2026-07-08 | |
| 41 | New | 81.3% | 58.3 | 2026-11-05 |
| 42 | 80.9% | 56.2 | 2026-07-09 | |
| 43 | 80.5% | 60.9 | 2026-04-23 | |
| 44 | 80.5% | 53.6 | 2026-06-30 | |
| 45 | 80.2% | 61.7 | 2026-08-05 | |
| 46 | 80.2% | 60.3 | 2026-07-09 | |
| 47 | 79.8% | 57.4 | 2026-08-13 | |
| 48 | 79.8% | 52.4 | 2026-08-14 | |
| 49 | 79.4% | 63.7 | 2026-04-23 | |
| 50 | 78.7% | 62.5 | 2026-05-19 | |
| 51 | 78.7% | 57.0 | 2026-07-31 | |
| 52 | 78.7% | 56.9 | 2026-08-13 | |
| 53 | 78.3% | 63.2 | 2026-03-05 | |
| 54 | 78.3% | 60.2 | 2026-08-13 | |
| 55 | 77.9% | 59.6 | 2026-07-09 | |
| 56 | 77.9% | 59.4 | 2026-06-16 | |
| 57 | 77.9% | 58.4 | 2026-07-09 | |
| 58 | 77.5% | 61.2 | 2026-07-21 | |
| 59 | 76.8% | 60.3 | 2026-07-09 | |
| 60 | 76.4% | 57.0 | 2026-07-24 |
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Top head-to-heads on Terminal-Bench 2.1 (AA)
Cite as: BenchLeader, “Terminal-Bench 2.1 (AA) leaderboard”, data as of 9 Nov 2026, https://www.benchleader.com/benchmarks/aa_terminalbench_21.
Terminal-Bench 2.1 (AA): questions
- What does Terminal-Bench 2.1 (AA) measure?
- The previous Terminal-Bench release, kept because far more models have been run on it than on 4.0. Scores are reported in percent of tasks solved; higher is better.
- What is the top score on Terminal-Bench 2.1 (AA)?
- As of 9 Nov 2026, the highest score on Terminal-Bench 2.1 (AA) is 91.4% by Claude Fable 5.1 (result dated 1 Sep 2026), ahead of GPT-6 Astra at 89.9%. Scores come from Artificial Analysis and are re-read daily.
- Which AI model leads Terminal-Bench 2.1 (AA)?
- Claude Fable 5.1 leads Terminal-Bench 2.1 (AA) with 91.4% as of 9 Nov 2026 (result dated 1 Sep 2026), ahead of GPT-6 Astra at 89.9%.
- How many models have Terminal-Bench 2.1 (AA) results?
- 240 model configurations have a Terminal-Bench 2.1 (AA) result on BenchLeader, all taken from Artificial Analysis.
- Who runs Terminal-Bench 2.1 (AA) and how often is it updated?
- Terminal-Bench 2.1 (AA) is published by Artificial Analysis. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does Terminal-Bench 2.1 (AA) count toward the BenchLeader Index?
- No. Terminal-Bench 2.1 (AA) is shown for reference but left out of the composite index.