benchgap
Calibration

Terminal-Bench 2.0 → Terminal-Bench Hard

Terminal-Bench Hard is estimated from Terminal-Bench 2.0 with a Hill curve fitted on 12 models measured on both: y = 0.4107 + (1.2000 − 0.4107)·x^6.00 / (0.99545^6.00 + x^6.00), R² = 0.62, cross-validated error 4.0 pp. It is used for 18 estimates.

Estimated modelTerminal-Bench 2.0Terminal-Bench HardSource
GPT-5.3 Codex77.3%55.3%estimated ± 4.0 pp, high confidence
Claude Opus 4.7 (Adaptive)69.4%49.2%estimated ± 4.0 pp, high confidence
Composer 261.7%45.3%estimated ± 4.0 pp, high confidence
Claude Opus 4.559.3%44.4%estimated ± 4.0 pp, high confidence
Qwen3.6-27B59.3%44.4%estimated ± 4.0 pp, high confidence
Hy3 Preview54.4%43.1%estimated ± 4.0 pp, medium confidence
Qwen3.5 397B52.5%42.7%estimated ± 4.0 pp, medium confidence
Qwen3.6-35B-A3B51.5%42.6%estimated ± 4.0 pp, medium confidence
Kimi K2.550.8%42.4%estimated ± 4.0 pp, medium confidence
Kimi K2.5 (Reasoning)50.8%42.4%estimated ± 4.0 pp, medium confidence
Claude Sonnet 4.550.0%42.3%estimated ± 4.0 pp, medium confidence
Qwen3.5-122B-A10B49.4%42.2%estimated ± 4.0 pp, medium confidence
MAI-Thinking-146.0%41.8%estimated ± 4.0 pp, medium confidence
Qwen3.5-27B41.6%41.5%estimated ± 4.0 pp, medium confidence
GLM-4.741.0%41.5%estimated ± 4.0 pp, medium confidence
Qwen3.5-35B-A3B40.5%41.4%estimated ± 4.0 pp, medium confidence
Laguna XS 2.137.5%41.3%estimated ± 4.0 pp, medium confidence
LongCat-Flash-Lite-Sparse33.7%41.2%estimated ± 4.0 pp, medium confidence

Fitted on

ModelTerminal-Bench 2.0Terminal-Bench Hard
Claude Opus 4.665.4%48.5%
GLM-556.2%43.2%
GPT-5.475.1%57.6%
GPT-5.4 mini60.0%52.3%
GPT-5.582.0%60.6%
Kimi K2.666.7%43.9%
MiMo-V2.5-Pro68.4%43.2%
Muse Spark59.0%45.5%
Qwen 3.6 Max (preview)65.4%43.9%
Qwen3.6 Plus61.6%43.9%
Qwen3.7 Max69.7%50.8%
Qwen3.7 Plus70.3%47.0%