# Terminal-Bench 2.1 → Terminal-Bench 3.0

Calibration · https://benchgap.net/calibration/1509 · data retrieved 2026-10-29

Terminal-Bench 3.0 is estimated from Terminal-Bench 2.1 with a inverse Michaelis–Menten curve fitted on 11 models measured on both: y = 0.03742·(x − 0.0000) / (0.0000 + 1.0234 − x), R² = 0.40, cross-validated error 9.1 pp. It is used for 43 estimates.

| Estimated model | Terminal-Bench 2.1 | Terminal-Bench 3.0 | Source |
|---|---|---|---|
| [SWE-2](https://benchgap.net/model/swe-2.md) | 92.8% | 36.4% | estimated ± 9.1 pp, low confidence |
| [MiMo-V2.6-Pro](https://benchgap.net/model/mimo-v2-6-pro.md) | 89.9% | 27.0% | estimated ± 9.1 pp, low confidence |
| [Claude Mythos 5](https://benchgap.net/model/claude-mythos-5.md) | 88.0% | 23.0% | estimated ± 9.1 pp, low confidence |
| [MiMo-V2.6-Flash](https://benchgap.net/model/mimo-v2-6-flash.md) | 87.6% | 22.2% | estimated ± 9.1 pp, low confidence |
| [Step 5 Preview](https://benchgap.net/model/step-5-preview.md) | 85.0% | 18.3% | estimated ± 9.1 pp, low confidence |
| [Ultramarine 1 Flash](https://benchgap.net/model/ultramarine-1-flash.md) | 83.2% | 16.3% | estimated ± 9.1 pp, low confidence |
| [Sakana Fugu-Ultra](https://benchgap.net/model/sakana-fugu-ultra.md) | 82.1% | 15.2% | estimated ± 9.1 pp, low confidence |
| [Ember-1](https://benchgap.net/model/ember-1.md) | 82.0% | 15.1% | estimated ± 9.1 pp, low confidence |
| [SWE-1.7](https://benchgap.net/model/swe-1-7.md) | 81.5% | 14.6% | estimated ± 9.1 pp, low confidence |
| [Ling 3.1 Flash](https://benchgap.net/model/ling-3-1-flash.md) | 81.2% | 14.4% | estimated ± 9.1 pp, low confidence |
| [Sakana Fugu](https://benchgap.net/model/sakana-fugu.md) | 80.2% | 13.6% | estimated ± 9.1 pp, low confidence |
| [Beam 1.0 501B-A23B](https://benchgap.net/model/reflection-beam.md) | 80.1% | 13.5% | estimated ± 9.1 pp, low confidence |
| [Particle-1](https://benchgap.net/model/particle-1.md) | 79.9% | 13.3% | estimated ± 9.1 pp, low confidence |
| [Beam 1.0 501B-A23B FP8](https://benchgap.net/model/reflection-beam-fp8.md) | 78.9% | 12.6% | estimated ± 9.1 pp, low confidence |
| [Beam 1.0 501B-A23B NVFP4](https://benchgap.net/model/reflection-beam-nvfp4.md) | 78.4% | 12.3% | estimated ± 9.1 pp, low confidence |
| [Atria Dawn Preview](https://benchgap.net/model/atria-dawn-preview.md) | 78.3% | 12.2% | estimated ± 9.1 pp, low confidence |
| [Ornith-1.0-397B](https://benchgap.net/model/ornith-1-0-397b.md) | 77.5% | 11.7% | estimated ± 9.1 pp, low confidence |
| [dots3-note Preview](https://benchgap.net/model/dots3-note-preview.md) | 75.1% | 10.3% | estimated ± 9.1 pp, low confidence |
| [Jais-3-375B-A23B](https://benchgap.net/model/jais-3-375b-a23b.md) | 73.8% | 9.7% | estimated ± 9.1 pp, low confidence |
| [OrcaCyber-Nano-1.0](https://benchgap.net/model/orcacyber-nano-1-0.md) | 72.5% | 9.1% | estimated ± 9.1 pp, low confidence |
| [Seed 2.1 Pro](https://benchgap.net/model/seed-2-1-pro.md) | 71.0% | 8.5% | estimated ± 9.1 pp, low confidence |
| [Apodex 1.1](https://benchgap.net/model/apodex-1-1.md) | 70.8% | 8.4% | estimated ± 9.1 pp, low confidence |
| [Laguna S 2.1](https://benchgap.net/model/laguna-s-2-1.md) | 70.2% | 8.2% | estimated ± 9.1 pp, low confidence |
| [Quasar 438B](https://benchgap.net/model/quasar-438b.md) | 69.3% | 7.8% | estimated ± 9.1 pp, low confidence |
| [Seed 2.1 Turbo](https://benchgap.net/model/seed-2-1-turbo.md) | 67.6% | 7.3% | estimated ± 9.1 pp, low confidence |
| [Jais-3-MoVA-36B-A4B](https://benchgap.net/model/jais-3-mova-36b-a4b.md) | 67.3% | 7.2% | estimated ± 9.1 pp, low confidence |
| [Nemotron 3.5 Super VL 120B A12B](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b.md) | 66.7% | 7.0% | estimated ± 9.1 pp, low confidence |
| [Pokee-Isaac 28B](https://benchgap.net/model/pokee-isaac-28b.md) | 65.1% | 6.5% | estimated ± 9.1 pp, low confidence |
| [Ornith-1.0-35B](https://benchgap.net/model/ornith-1-0-35b.md) | 64.2% | 6.3% | estimated ± 9.1 pp, low confidence |
| [Inkling](https://benchgap.net/model/inkling.md) | 63.8% | 6.2% | estimated ± 9.1 pp, low confidence |
| [Jais-3-32B](https://benchgap.net/model/jais-3-32b.md) | 63.7% | 6.2% | estimated ± 9.1 pp, low confidence |
| [MAI-Code-1.1-Flash](https://benchgap.net/model/mai-code-1-1-flash.md) | 62.9% | 6.0% | estimated ± 9.1 pp, low confidence |
| [Nemotron 3.5 Super VL 120B A12B NVFP4](https://benchgap.net/model/nemotron-3-5-super-vl-120b-a12b-nvfp4.md) | 60.8% | 5.5% | estimated ± 9.1 pp, low confidence |
| [Step 3.7 Flash](https://benchgap.net/model/step-3-7-flash.md) | 59.5% | 5.2% | estimated ± 9.1 pp, low confidence |
| [Solar Pro 4](https://benchgap.net/model/solar-pro-4.md) | 57.0% | 4.7% | estimated ± 9.1 pp, low confidence |
| [Flint](https://benchgap.net/model/flint-40b-a2-5b.md) | 54.9% | 4.3% | estimated ± 9.1 pp, low confidence |
| [Nemotron 3.5 Bolt 74B-A9B BF16](https://benchgap.net/model/nemotron-3-5-bolt-74b-a9b-bf16.md) | 53.9% | 4.2% | estimated ± 9.1 pp, low confidence |
| [Ternary Bonsai 2 27B](https://benchgap.net/model/ternary-bonsai-2-27b.md) | 52.8% | 4.0% | estimated ± 9.1 pp, low confidence |
| [Muse Glimmer 30B](https://benchgap.net/model/muse-glimmer-30b.md) | 51.7% | 3.8% | estimated ± 9.1 pp, low confidence |
| [Nemotron 3.5 Bolt 74B-A9B](https://benchgap.net/model/nemotron-3-5-bolt-74b-a9b.md) | 51.0% | 3.7% | estimated ± 9.1 pp, low confidence |
| [Jais-3-7B](https://benchgap.net/model/jais-3-7b.md) | 46.4% | 3.1% | estimated ± 9.1 pp, low confidence |
| [Ornith-1.5-9B](https://benchgap.net/model/ornith-1-5-9b.md) | 46.2% | 3.1% | estimated ± 9.1 pp, low confidence |
| [K-EXAONE 2.0](https://benchgap.net/model/k-exaone-2-0.md) | 43.8% | 2.8% | estimated ± 9.1 pp, low confidence |

## Fitted on

| Model | Terminal-Bench 2.1 | Terminal-Bench 3.0 |
|---|---|---|
| [Claude Fable 5](https://benchgap.net/model/claude-fable.md) | 84.3% | 34.1% |
| [Claude Opus 4.8](https://benchgap.net/model/claude-opus-4-8.md) | 74.6% | 21.1% |
| [Claude Sonnet 5](https://benchgap.net/model/claude-sonnet-5.md) | 80.4% | 14.6% |
| [Gemini 3.7 Flash](https://benchgap.net/model/gemini-3-7-flash.md) | 85.8% | 14.9% |
| [GLM-5.2](https://benchgap.net/model/glm-5-2.md) | 81.0% | 4.6% |
| [GPT-5.6 Luna](https://benchgap.net/model/gpt-5-6-luna.md) | 84.7% | 14.3% |
| [GPT-5.6 Sol](https://benchgap.net/model/gpt-5-6-sol.md) | 91.9% | 34.6% |
| [GPT-5.6 Terra](https://benchgap.net/model/gpt-5-6-terra.md) | 87.4% | 20.8% |
| [Grok 4.5](https://benchgap.net/model/grok-4-5.md) | 83.3% | 15.7% |
| [Ornith-1.5-35B-A3B](https://benchgap.net/model/ornith-1-5-35b-a3b.md) | 67.8% | 5.1% |
| [Ornith-1.5-397B](https://benchgap.net/model/ornith-1-5-397b.md) | 86.1% | 13.5% |