benchgap
Calibration

Terminal-Bench Hard → Terminal-Bench 2.0

Terminal-Bench 2.0 is estimated from Terminal-Bench Hard with a Hill curve fitted on 12 models measured on both: y = 0.5905 + (1.2000 − 0.5905)·x^6.00 / (0.68474^6.00 + x^6.00), R² = 0.57, cross-validated error 5.4 pp. It is used for 11 estimates.

Estimated modelTerminal-Bench HardTerminal-Bench 2.0Source
GPT-5.6 Sol65.9%86.0%estimated ± 5.4 pp, low confidence
Claude Fable 562.9%81.9%estimated ± 5.4 pp, low confidence
Claude Opus 4.858.3%75.9%estimated ± 5.4 pp, medium confidence
Claude Opus 4.754.5%71.4%estimated ± 5.4 pp, medium confidence
Gemini 3.1 Pro53.8%70.7%estimated ± 5.4 pp, medium confidence
GLM-5.250.8%67.8%estimated ± 5.4 pp, medium confidence
Claude Opus 4.5 Thinking47.0%64.8%estimated ± 5.4 pp, medium confidence
GPT-5.247.0%64.8%estimated ± 5.4 pp, medium confidence
GPT-5.145.5%63.9%estimated ± 5.4 pp, medium confidence
Kimi K2.7 Code44.7%63.4%estimated ± 5.4 pp, medium confidence
Solar Open 228.3%59.3%estimated ± 5.4 pp, low confidence

Fitted on

ModelTerminal-Bench HardTerminal-Bench 2.0
Claude Opus 4.648.5%65.4%
GLM-543.2%56.2%
GPT-5.457.6%75.1%
GPT-5.4 mini52.3%60.0%
GPT-5.560.6%82.0%
Kimi K2.643.9%66.7%
MiMo-V2.5-Pro43.2%68.4%
Muse Spark45.5%59.0%
Qwen 3.6 Max (preview)43.9%65.4%
Qwen3.6 Plus43.9%61.6%
Qwen3.7 Max50.8%69.7%
Qwen3.7 Plus47.0%70.3%