# Terminal-Bench 2.1 (Vals AI) → AA Terminal-Bench 4.0

Calibration · https://benchgap.net/calibration/1570 · data retrieved 2026-10-29

AA Terminal-Bench 4.0 is estimated from Terminal-Bench 2.1 (Vals AI) with a linear curve fitted on 7 models measured on both: y = 1.3076·x + -0.6494, R² = 0.72, cross-validated error 14.0 pp. It is used for 29 estimates.

| Estimated model | Terminal-Bench 2.1 (Vals AI) | AA Terminal-Bench 4.0 | Source |
|---|---|---|---|
| [Claude Opus 5](https://benchgap.net/model/claude-opus-5.md) | 84.6% | 45.7% | estimated ± 14.0 pp, low confidence |
| [Grok 4.6](https://benchgap.net/model/grok-4-6.md) | 78.3% | 37.4% | estimated ± 14.0 pp, low confidence |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 76.4% | 35.0% | estimated ± 14.0 pp, low confidence |
| [Gemini 3.6 Flash](https://benchgap.net/model/gemini-3-6-flash.md) | 73.8% | 31.6% | estimated ± 14.0 pp, low confidence |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 70.8% | 27.6% | estimated ± 14.0 pp, low confidence |
| [Claude Opus 4.7](https://benchgap.net/model/claude-opus-4-7.md) | 68.5% | 24.6% | estimated ± 14.0 pp, low confidence |
| [Kimi K2.7 Code](https://benchgap.net/model/kimi-k2-7-code.md) | 67.0% | 22.7% | estimated ± 14.0 pp, low confidence |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 61.0% | 14.8% | estimated ± 14.0 pp, low confidence |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 60.7% | 14.4% | estimated ± 14.0 pp, low confidence |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 58.4% | 11.4% | estimated ± 14.0 pp, low confidence |
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 57.3% | 10.0% | estimated ± 14.0 pp, low confidence |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 57.3% | 10.0% | estimated ± 14.0 pp, low confidence |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 56.9% | 9.5% | estimated ± 14.0 pp, low confidence |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 54.7% | 6.6% | estimated ± 14.0 pp, low confidence |
| [Gemini 3 Flash](https://benchgap.net/model/gemini-3-flash.md) | 53.9% | 5.5% | estimated ± 14.0 pp, low confidence |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 53.6% | 5.1% | estimated ± 14.0 pp, low confidence |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 53.2% | 4.6% | estimated ± 14.0 pp, low confidence |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 52.8% | 4.1% | estimated ± 14.0 pp, low confidence |
| [Claude Haiku 4.5](https://benchgap.net/model/claude-haiku-4-5.md) | 43.8% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Command A+](https://benchgap.net/model/command-a-plus.md) | 17.6% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Gemini 3.1 Flash-Lite](https://benchgap.net/model/gemini-3-1-flash-lite.md) | 34.1% | 0.0% | estimated ± 14.0 pp, low confidence |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 41.6% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 44.2% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Grok 4.3](https://benchgap.net/model/grok-4-3.md) | 41.9% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 34.1% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 25.8% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Mercury 2.5](https://benchgap.net/model/mercury-2-5.md) | 34.5% | 0.0% | estimated ± 14.0 pp, low confidence |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 48.7% | 0.0% | estimated ± 14.0 pp, low confidence |
| [Mistral Medium 3.5 128B](https://benchgap.net/model/mistral-medium-3-5-128b.md) | 39.0% | 0.0% | estimated ± 14.0 pp, low confidence |

## Fitted on

| Model | Terminal-Bench 2.1 (Vals AI) | AA Terminal-Bench 4.0 |
|---|---|---|
| [Claude Fable 5.1](https://benchgap.net/model/claude-fable-5-1.md) | 85.0% | 52.0% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 81.3% | 19.7% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 71.5% | 41.9% |
| [GPT-6 Astra](https://benchgap.net/model/gpt-6-astra.md) | 87.3% | 59.1% |
| [Grok 4.7](https://benchgap.net/model/grok-4-7.md) | 73.4% | 25.8% |
| [Inkling](https://benchgap.net/model/inkling.md) | 47.6% | 1.0% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 58.4% | 5.6% |