# Terminal-Bench 3.0 → AA Terminal-Bench 2.1

Calibration · https://benchgap.net/calibration/1500 · data retrieved 2026-10-29

AA Terminal-Bench 2.1 is estimated from Terminal-Bench 3.0 with a Michaelis–Menten curve fitted on 9 models measured on both: y = 0.9217·x / (0.01724 + x), R² = 0.54, cross-validated error 2.7 pp. It is used for 4 estimates.

| Estimated model | Terminal-Bench 3.0 | AA Terminal-Bench 2.1 | Source |
|---|---|---|---|
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 34.6% | 87.8% | estimated ± 2.7 pp, high confidence |
| [Ornith-1.5-397B](https://benchgap.net/model/ornith-1-5-397b.md) | 13.5% | 81.7% | estimated ± 2.7 pp, medium confidence |
| [Ornith-1.5-35B-A3B](https://benchgap.net/model/ornith-1-5-35b-a3b.md) | 5.1% | 68.9% | estimated ± 2.7 pp, medium confidence |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 4.6% | 67.0% | estimated ± 2.7 pp, medium confidence |

## Fitted on

| Model | Terminal-Bench 3.0 | AA Terminal-Bench 2.1 |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 34.1% | 84.6% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 21.1% | 84.6% |
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 42.7% | 89.1% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 14.6% | 80.5% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 14.9% | 85.8% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 14.3% | 80.9% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 20.8% | 88.0% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 15.7% | 81.6% |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 26.5% | 88.4% |
