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

Calibration · https://benchgap.net/calibration/1510 · data retrieved 2026-10-29

Terminal-Bench 2.1 (Vals AI) is estimated from Terminal-Bench 2.1 with a linear curve fitted on 29 models measured on both: y = 0.7724·x + 0.0597, R² = 0.59, cross-validated error 7.4 pp. It is used for 44 estimates.

| Estimated model | Terminal-Bench 2.1 | Terminal-Bench 2.1 (Vals AI) | Source |
|---|---|---|---|
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 88.0% | 73.9% | estimated ± 7.4 pp, medium confidence |
| [Ultramarine 1 Flash](https://benchgap.net/model/ultramarine-1-flash.md) | 83.2% | 70.2% | estimated ± 7.4 pp, medium confidence |
| [Sakana Fugu-Ultra](https://benchgap.net/model/sakana-fugu-ultra.md) | 82.1% | 69.4% | estimated ± 7.4 pp, medium confidence |
| [Ember-1](https://benchgap.net/model/ember-1.md) | 82.0% | 69.3% | estimated ± 7.4 pp, medium confidence |
| [SWE-1.7](https://benchgap.net/model/swe-1-7.md) | 81.5% | 68.9% | estimated ± 7.4 pp, medium confidence |
| [Sakana Fugu](https://benchgap.net/model/sakana-fugu.md) | 80.2% | 67.9% | estimated ± 7.4 pp, medium confidence |
| [Beam 1.0 501B-A23B](https://benchgap.net/model/reflection-beam.md) | 80.1% | 67.8% | estimated ± 7.4 pp, medium confidence |
| [Particle-1](https://benchgap.net/model/particle-1.md) | 79.9% | 67.7% | estimated ± 7.4 pp, medium confidence |
| [Beam 1.0 501B-A23B FP8](https://benchgap.net/model/reflection-beam-fp8.md) | 78.9% | 66.9% | estimated ± 7.4 pp, medium confidence |
| [Beam 1.0 501B-A23B NVFP4](https://benchgap.net/model/reflection-beam-nvfp4.md) | 78.4% | 66.5% | estimated ± 7.4 pp, medium confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 78.3% | 66.4% | estimated ± 7.4 pp, medium confidence |
| [Ornith-1.0-397B](https://benchgap.net/model/ornith-1-0-397b.md) | 77.5% | 65.8% | estimated ± 7.4 pp, medium confidence |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 75.1% | 64.0% | estimated ± 7.4 pp, medium confidence |
| [Jais-3-375B-A23B](https://benchgap.net/model/jais-3-375b-a23b.md) | 73.8% | 63.0% | estimated ± 7.4 pp, medium confidence |
| [OrcaCyber-Nano-1.0](https://benchgap.net/model/orcacyber-nano-1-0.md) | 72.5% | 62.0% | estimated ± 7.4 pp, medium confidence |
| [Seed 2.1 Pro](https://benchgap.net/model/seed-2-1-pro.md) | 71.0% | 60.8% | estimated ± 7.4 pp, medium confidence |
| [Apodex 1.1](https://benchgap.net/model/apodex-1-1.md) | 70.8% | 60.6% | estimated ± 7.4 pp, medium confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 70.2% | 60.2% | estimated ± 7.4 pp, medium confidence |
| [Quasar 438B](https://benchgap.net/model/quasar-438b.md) | 69.3% | 59.5% | estimated ± 7.4 pp, medium confidence |
| [Seed 2.1 Turbo](https://benchgap.net/model/seed-2-1-turbo.md) | 67.6% | 58.2% | estimated ± 7.4 pp, medium confidence |
| [Jais-3-MoVA-36B-A4B](https://benchgap.net/model/jais-3-mova-36b-a4b.md) | 67.3% | 57.9% | estimated ± 7.4 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b.md) | 66.7% | 57.5% | estimated ± 7.4 pp, medium confidence |
| [Pokee-Isaac 28B](https://benchgap.net/model/pokee-isaac-28b.md) | 65.1% | 56.2% | estimated ± 7.4 pp, medium confidence |
| [Ornith-1.0-35B](https://benchgap.net/model/ornith-1-0-35b.md) | 64.2% | 55.6% | estimated ± 7.4 pp, medium confidence |
| [Jais-3-32B](https://benchgap.net/model/jais-3-32b.md) | 63.7% | 55.2% | estimated ± 7.4 pp, medium confidence |
| [MAI-Code-1.1-Flash](https://benchgap.net/model/mai-code-1-1-flash.md) | 62.9% | 54.5% | estimated ± 7.4 pp, medium confidence |
| [Nemotron 3.5 Super VL 120B A12B NVFP4](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b-nvfp4.md) | 60.8% | 52.9% | estimated ± 7.4 pp, medium confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 59.5% | 51.9% | estimated ± 7.4 pp, medium confidence |
| [Solar Pro 4](https://benchgap.net/model/solar-pro-4.md) | 57.0% | 50.0% | estimated ± 7.4 pp, medium confidence |
| [Flint](https://benchgap.net/model/flint-40b-a2-5b.md) | 54.9% | 48.4% | estimated ± 7.4 pp, medium confidence |
| [Nemotron 3.5 Bolt 74B-A9B BF16](https://benchgap.net/model/nemotron-3-5-bolt-74b-a9b-bf16.md) | 53.9% | 47.6% | estimated ± 7.4 pp, low confidence |
| [Ternary Bonsai 2 27B](https://benchgap.net/model/ternary-bonsai-2-27b.md) | 52.8% | 46.7% | estimated ± 7.4 pp, low confidence |
| [Muse Glimmer 30B](https://benchgap.net/model/muse-glimmer-30b.md) | 51.7% | 45.9% | estimated ± 7.4 pp, low confidence |
| [Nemotron 3.5 Bolt 74B-A9B](https://benchgap.net/model/nemotron-3-5-bolt-74b-a9b.md) | 51.0% | 45.3% | estimated ± 7.4 pp, low confidence |
| [Jais-3-7B](https://benchgap.net/model/jais-3-7b.md) | 46.4% | 41.8% | estimated ± 7.4 pp, low confidence |
| [Ornith-1.5-9B](https://benchgap.net/model/ornith-1-5-9b.md) | 46.2% | 41.6% | estimated ± 7.4 pp, low confidence |
| [K-EXAONE 2.0](https://benchgap.net/model/k-exaone-2-0.md) | 43.8% | 39.8% | estimated ± 7.4 pp, low confidence |
| [Ornith-1.0-9B](https://benchgap.net/model/ornith-1-0-9b.md) | 43.1% | 39.3% | estimated ± 7.4 pp, low confidence |
| [Jais-3-3.7B](https://benchgap.net/model/jais-3-3-7b.md) | 41.2% | 37.8% | estimated ± 7.4 pp, low confidence |
| [A.X K2](https://benchgap.net/model/a-x-k2.md) | 36.0% | 33.8% | estimated ± 7.4 pp, low confidence |
| [Granite 4.2 30B](https://benchgap.net/model/granite-4-2-30b.md) | 29.2% | 28.5% | estimated ± 7.4 pp, low confidence |
| [Nemotron 3.5 Lightning 30B A3B NVFP4](https://benchgap.net/model/nemotron-3-5-lightning-30b-a3b-nvfp4.md) | 23.5% | 24.1% | estimated ± 7.4 pp, low confidence |
| [Granite 4.2 8B](https://benchgap.net/model/granite-4-2-8b.md) | 20.6% | 21.8% | estimated ± 7.4 pp, low confidence |
| [Mellum2.1-12B-A2.5B-Thinking](https://benchgap.net/model/mellum2-1-12b-a2-5b-thinking.md) | 17.4% | 19.4% | estimated ± 7.4 pp, low confidence |

## Fitted on

| Model | Terminal-Bench 2.1 | Terminal-Bench 2.1 (Vals AI) |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 84.3% | 80.5% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 74.6% | 71.9% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 80.4% | 74.5% |
| [DeepSeek V4.1 Flash 1017](https://benchgap.net/model/deepseek-v4-1-flash.md) | 90.6% | 74.5% |
| [DeepSeek V4 Flash 0731](https://benchgap.net/model/deepseek-v4-flash-0731.md) | 82.7% | 67.0% |
| [DeepSeek V4 Pro 0813](https://benchgap.net/model/deepseek-v4-pro-0813.md) | 87.9% | 54.7% |
| [Gemini 3.5 Flash](https://benchgap.net/model/gemini-3-5-flash.md) | 76.2% | 74.2% |
| [Gemini 3.5 Flash-Lite](https://benchgap.net/model/gemini-3-5-flash-lite.md) | 54.0% | 50.2% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 85.8% | 77.5% |
| [Gemini 3.8 Flash](https://benchgap.net/model/gemini-3-8-flash.md) | 89.4% | 81.3% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 81.0% | 67.8% |
| [GLM-5.3](https://benchgap.net/model/glm-5-3.md) | 88.2% | 71.5% |
| [GLM-5.3-Flash](https://benchgap.net/model/glm-5-3-flash.md) | 84.3% | 62.9% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 84.7% | 79.0% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 91.9% | 85.8% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 87.4% | 77.5% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 83.3% | 67.8% |
| [Hy4 preview](https://benchgap.net/model/hy4-preview.md) | 85.4% | 55.1% |
| [Inkling](https://benchgap.net/model/inkling.md) | 63.8% | 47.6% |
| [Inkling-Small](https://benchgap.net/model/inkling-small.md) | 64.7% | 55.1% |
| [Kimi K3](https://benchgap.net/model/kimi-k3.md) | 88.3% | 80.9% |
| [Ling 3.0 Flash](https://benchgap.net/model/ling-3-0-flash.md) | 57.0% | 50.2% |
| [MiniMax M3](https://benchgap.net/model/minimax-m3.md) | 66.0% | 53.6% |
| [Muse Spark 1.1](https://benchgap.net/model/muse-spark-1-1.md) | 80.0% | 69.3% |
| [Muse Spark 1.2](https://benchgap.net/model/muse-spark-1-2.md) | 82.9% | 69.7% |
| [Muse Spark 1.3](https://benchgap.net/model/muse-spark-1-3.md) | 88.8% | 72.3% |
| [Nemotron 3 Ultra](https://benchgap.net/model/nemotron-3-ultra.md) | 56.4% | 50.9% |
| [Qwen3.8-27B](https://benchgap.net/model/qwen3-8-27b.md) | 73.0% | 58.4% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 86.6% | 67.4% |