benchgap
Calibration

Terminal-Bench 2.1 → Terminal-Bench 3.0

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 modelTerminal-Bench 2.1Terminal-Bench 3.0Source
SWE-292.8%36.4%estimated ± 9.1 pp, low confidence
MiMo-V2.6-Pro89.9%27.0%estimated ± 9.1 pp, low confidence
Claude Mythos 588.0%23.0%estimated ± 9.1 pp, low confidence
MiMo-V2.6-Flash87.6%22.2%estimated ± 9.1 pp, low confidence
Step 5 Preview85.0%18.3%estimated ± 9.1 pp, low confidence
Ultramarine 1 Flash83.2%16.3%estimated ± 9.1 pp, low confidence
Sakana Fugu-Ultra82.1%15.2%estimated ± 9.1 pp, low confidence
Ember-182.0%15.1%estimated ± 9.1 pp, low confidence
SWE-1.781.5%14.6%estimated ± 9.1 pp, low confidence
Ling 3.1 Flash81.2%14.4%estimated ± 9.1 pp, low confidence
Sakana Fugu80.2%13.6%estimated ± 9.1 pp, low confidence
Beam 1.0 501B-A23B80.1%13.5%estimated ± 9.1 pp, low confidence
Particle-179.9%13.3%estimated ± 9.1 pp, low confidence
Beam 1.0 501B-A23B FP878.9%12.6%estimated ± 9.1 pp, low confidence
Beam 1.0 501B-A23B NVFP478.4%12.3%estimated ± 9.1 pp, low confidence
Atria Dawn Preview78.3%12.2%estimated ± 9.1 pp, low confidence
Ornith-1.0-397B77.5%11.7%estimated ± 9.1 pp, low confidence
dots3-note Preview75.1%10.3%estimated ± 9.1 pp, low confidence
Jais-3-375B-A23B73.8%9.7%estimated ± 9.1 pp, low confidence
OrcaCyber-Nano-1.072.5%9.1%estimated ± 9.1 pp, low confidence
Seed 2.1 Pro71.0%8.5%estimated ± 9.1 pp, low confidence
Apodex 1.170.8%8.4%estimated ± 9.1 pp, low confidence
Laguna S 2.170.2%8.2%estimated ± 9.1 pp, low confidence
Quasar 438B69.3%7.8%estimated ± 9.1 pp, low confidence
Seed 2.1 Turbo67.6%7.3%estimated ± 9.1 pp, low confidence
Jais-3-MoVA-36B-A4B67.3%7.2%estimated ± 9.1 pp, low confidence
Nemotron 3.5 Super VL 120B A12B66.7%7.0%estimated ± 9.1 pp, low confidence
Pokee-Isaac 28B65.1%6.5%estimated ± 9.1 pp, low confidence
Ornith-1.0-35B64.2%6.3%estimated ± 9.1 pp, low confidence
Inkling63.8%6.2%estimated ± 9.1 pp, low confidence
Jais-3-32B63.7%6.2%estimated ± 9.1 pp, low confidence
MAI-Code-1.1-Flash62.9%6.0%estimated ± 9.1 pp, low confidence
Nemotron 3.5 Super VL 120B A12B NVFP460.8%5.5%estimated ± 9.1 pp, low confidence
Step 3.7 Flash59.5%5.2%estimated ± 9.1 pp, low confidence
Solar Pro 457.0%4.7%estimated ± 9.1 pp, low confidence
Flint54.9%4.3%estimated ± 9.1 pp, low confidence
Nemotron 3.5 Bolt 74B-A9B BF1653.9%4.2%estimated ± 9.1 pp, low confidence
Ternary Bonsai 2 27B52.8%4.0%estimated ± 9.1 pp, low confidence
Muse Glimmer 30B51.7%3.8%estimated ± 9.1 pp, low confidence
Nemotron 3.5 Bolt 74B-A9B51.0%3.7%estimated ± 9.1 pp, low confidence
Jais-3-7B46.4%3.1%estimated ± 9.1 pp, low confidence
Ornith-1.5-9B46.2%3.1%estimated ± 9.1 pp, low confidence
K-EXAONE 2.043.8%2.8%estimated ± 9.1 pp, low confidence

Fitted on

ModelTerminal-Bench 2.1Terminal-Bench 3.0
Claude Fable 584.3%34.1%
Claude Opus 4.874.6%21.1%
Claude Sonnet 580.4%14.6%
Gemini 3.7 Flash85.8%14.9%
GLM-5.281.0%4.6%
GPT-5.6 Luna84.7%14.3%
GPT-5.6 Sol91.9%34.6%
GPT-5.6 Terra87.4%20.8%
Grok 4.583.3%15.7%
Ornith-1.5-35B-A3B67.8%5.1%
Ornith-1.5-397B86.1%13.5%