# Terminal-Bench 2.0 → Terminal-Bench 2.1 (Vals AI)

Calibration · https://benchgap.net/calibration/1499 · data retrieved 2026-10-29

Terminal-Bench 2.1 (Vals AI) is estimated from Terminal-Bench 2.0 with a linear curve fitted on 18 models measured on both: y = 0.8891·x + -0.0075, R² = 0.75, cross-validated error 6.3 pp. It is used for 17 estimates.

| Estimated model | Terminal-Bench 2.0 | Terminal-Bench 2.1 (Vals AI) | Source |
|---|---|---|---|
| [GPT-5.3 Codex](https://benchgap.net/model/gpt-5-3-codex.md) | 77.3% | 68.0% | estimated ± 6.3 pp, medium confidence |
| [Composer 2](https://benchgap.net/model/composer-2.md) | 61.7% | 54.1% | estimated ± 6.3 pp, medium confidence |
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 59.3% | 52.0% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.6-27B](https://benchgap.net/model/qwen3-6-27b.md) | 59.3% | 52.0% | estimated ± 6.3 pp, medium confidence |
| [Hy3 Preview](https://benchgap.net/model/hy3-preview.md) | 54.4% | 47.6% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 52.5% | 45.9% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.6-35B-A3B](https://benchgap.net/model/qwen3-6-35b-a3b.md) | 51.5% | 45.0% | estimated ± 6.3 pp, medium confidence |
| [Kimi K2.5](https://benchgap.net/model/kimi-k2-5.md) | 50.8% | 44.4% | estimated ± 6.3 pp, medium confidence |
| [Kimi K2.5 (Reasoning)](https://benchgap.net/model/kimi-k2-5-reasoning.md) | 50.8% | 44.4% | estimated ± 6.3 pp, medium confidence |
| [Claude Sonnet 4.5](https://benchgap.net/model/claude-sonnet-4-5.md) | 50.0% | 43.7% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.5-122B-A10B](https://benchgap.net/model/qwen3-5-122b-a10b.md) | 49.4% | 43.2% | estimated ± 6.3 pp, medium confidence |
| [MAI-Thinking-1](https://benchgap.net/model/mai-thinking-1.md) | 46.0% | 40.2% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.5-27B](https://benchgap.net/model/qwen3-5-27b.md) | 41.6% | 36.2% | estimated ± 6.3 pp, medium confidence |
| [GLM-4.7](https://benchgap.net/model/glm-4-7.md) | 41.0% | 35.7% | estimated ± 6.3 pp, medium confidence |
| [Qwen3.5-35B-A3B](https://benchgap.net/model/qwen3-5-35b-a3b.md) | 40.5% | 35.3% | estimated ± 6.3 pp, medium confidence |
| [Laguna XS 2.1](https://benchgap.net/model/laguna-xs-2-1.md) | 37.5% | 32.6% | estimated ± 6.3 pp, medium confidence |
| [LongCat-Flash-Lite-Sparse](https://benchgap.net/model/longcat-flash-lite-sparse.md) | 33.7% | 29.2% | estimated ± 6.3 pp, low confidence |

## Fitted on

| Model | Terminal-Bench 2.0 | Terminal-Bench 2.1 (Vals AI) |
|---|---|---|
| [Claude Sonnet 4.6](https://benchgap.net/model/claude-sonnet-4-6.md) | 59.1% | 57.3% |
| [Composer 2.5](https://benchgap.net/model/composer-2-5.md) | 69.3% | 58.4% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 56.9% | 67.0% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 67.9% | 54.7% |
| [GLM-5.1](https://benchgap.net/model/glm-5-1.md) | 63.5% | 56.9% |
| [GPT-5.4 mini](https://benchgap.net/model/gpt-5-4-mini.md) | 60.0% | 54.7% |
| [GPT-5.4 nano](https://benchgap.net/model/gpt-5-4-nano.md) | 46.3% | 41.6% |
| [GPT-5.5](https://benchgap.net/model/gpt-5-5.md) | 82.0% | 76.4% |
| [Grok 4.20](https://benchgap.net/model/grok-4-20-beta.md) | 47.1% | 44.2% |
| [Kimi K2.6](https://benchgap.net/model/kimi-2-6.md) | 66.7% | 53.6% |
| [Laguna M.1](https://benchgap.net/model/laguna-m-1.md) | 45.8% | 34.1% |
| [Laguna XS.2](https://benchgap.net/model/laguna-xs-2.md) | 35.7% | 25.8% |
| [MiMo-V2.5](https://benchgap.net/model/mimo-v2-5.md) | 65.8% | 60.7% |
| [MiMo-V2.5-Pro](https://benchgap.net/model/mimo-v2-5-pro.md) | 68.4% | 57.3% |
| [MiniMax M2.7](https://benchgap.net/model/minimax-m2-7.md) | 57.0% | 48.7% |
| [Qwen3.6 Plus](https://benchgap.net/model/qwen3-6-plus.md) | 61.6% | 53.2% |
| [Qwen3.7 Max](https://benchgap.net/model/qwen3-7-max.md) | 69.7% | 61.0% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 70.3% | 52.8% |