benchgap
Calibration

Terminal-Bench 4.0 → Terminal-Bench 2.1 (Vals AI)

Terminal-Bench 2.1 (Vals AI) is estimated from Terminal-Bench 4.0 with a Hill curve fitted on 5 models measured on both: y = 0.7576 + (1.2000 − 0.7576)·x^6.00 / (0.70190^6.00 + x^6.00), R² = 0.65, cross-validated error 5.4 pp. It is used for 15 estimates.

Estimated modelTerminal-Bench 4.0Terminal-Bench 2.1 (Vals AI)Source
Claude Sonnet 5.570.6%98.3%estimated ± 5.4 pp, low confidence
Claude Opus 5.566.4%94.2%estimated ± 5.4 pp, low confidence
Kimi K3.1 Pro65.7%93.5%estimated ± 5.4 pp, low confidence
Claude Mythos 5.160.9%89.0%estimated ± 5.4 pp, low confidence
Gemini 4 Argon57.4%85.9%estimated ± 5.4 pp, low confidence
Pareto 26.951.0%81.4%estimated ± 5.4 pp, low confidence
Pareto 26.10 Preview50.8%81.3%estimated ± 5.4 pp, low confidence
GPT-6.1 Terra50.3%81.0%estimated ± 5.4 pp, low confidence
Ling 3.1 Flash46.0%79.0%estimated ± 5.4 pp, low confidence
Claude Haiku 5.539.2%77.1%estimated ± 5.4 pp, low confidence
MiniMax M3.1 Flash38.1%76.9%estimated ± 5.4 pp, low confidence
MiMo-V2.6-Pro34.9%76.4%estimated ± 5.4 pp, low confidence
Step 5 Preview33.3%76.3%estimated ± 5.4 pp, low confidence
MiMo-V2.6-Flash28.8%76.0%estimated ± 5.4 pp, low confidence
SWE-227.3%75.9%estimated ± 5.4 pp, low confidence

Fitted on

ModelTerminal-Bench 4.0Terminal-Bench 2.1 (Vals AI)
Claude Fable 5.155.8%85.0%
DeepSeek V4.1 Flash 101742.3%74.5%
Gemini 3.8 Flash19.1%81.3%
GPT-6 Astra57.9%87.3%
Grok 4.738.0%73.4%