benchgap
Calibration

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

AA Terminal-Bench 2.1 is estimated from Terminal-Bench 2.1 (Vals AI) with a Michaelis–Menten curve fitted on 18 models measured on both: y = 1.7007·x / (0.76559 + x), R² = 0.72, cross-validated error 5.9 pp. It is used for 40 estimates.

Estimated modelTerminal-Bench 2.1 (Vals AI)AA Terminal-Bench 2.1Source
DeepSeek V4.1 Flash 101774.5%83.9%estimated ± 5.9 pp, medium confidence
Gemini 3.5 Flash74.2%83.7%estimated ± 5.9 pp, medium confidence
Gemini 3.6 Flash73.8%83.5%estimated ± 5.9 pp, medium confidence
Muse Spark 1.372.3%82.6%estimated ± 5.9 pp, medium confidence
Gemini 3.1 Pro70.8%81.7%estimated ± 5.9 pp, medium confidence
Muse Spark 1.269.7%81.0%estimated ± 5.9 pp, medium confidence
Muse Spark 1.169.3%80.8%estimated ± 5.9 pp, medium confidence
Claude Opus 4.768.5%80.3%estimated ± 5.9 pp, medium confidence
Qwen3.8 Max67.4%79.6%estimated ± 5.9 pp, medium confidence
DeepSeek V4 Flash 073167.0%79.4%estimated ± 5.9 pp, medium confidence
Kimi K2.7 Code67.0%79.4%estimated ± 5.9 pp, medium confidence
Qwen3.7 Max61.0%75.4%estimated ± 5.9 pp, medium confidence
MiMo-V2.560.7%75.2%estimated ± 5.9 pp, medium confidence
Composer 2.558.4%73.6%estimated ± 5.9 pp, medium confidence
Claude Sonnet 4.657.3%72.8%estimated ± 5.9 pp, medium confidence
MiMo-V2.5-Pro57.3%72.8%estimated ± 5.9 pp, medium confidence
GLM-5.156.9%72.5%estimated ± 5.9 pp, medium confidence
Hy4 preview55.1%71.2%estimated ± 5.9 pp, medium confidence
Inkling-Small55.1%71.2%estimated ± 5.9 pp, medium confidence
DeepSeek V4 Pro 081354.7%70.9%estimated ± 5.9 pp, medium confidence
GPT-5.4 mini54.7%70.9%estimated ± 5.9 pp, medium confidence
Gemini 3 Flash53.9%70.3%estimated ± 5.9 pp, medium confidence
Kimi K2.653.6%70.0%estimated ± 5.9 pp, medium confidence
MiniMax M353.6%70.0%estimated ± 5.9 pp, medium confidence
Qwen3.6 Plus53.2%69.7%estimated ± 5.9 pp, medium confidence
Qwen3.7 Plus52.8%69.4%estimated ± 5.9 pp, medium confidence
Nemotron 3 Ultra50.9%67.9%estimated ± 5.9 pp, medium confidence
Gemini 3.5 Flash-Lite50.2%67.4%estimated ± 5.9 pp, medium confidence
Ling 3.0 Flash50.2%67.4%estimated ± 5.9 pp, medium confidence
MiniMax M2.748.7%66.1%estimated ± 5.9 pp, medium confidence
Grok 4.2044.2%62.2%estimated ± 5.9 pp, low confidence
Claude Haiku 4.543.8%61.9%estimated ± 5.9 pp, low confidence
Grok 4.341.9%60.2%estimated ± 5.9 pp, low confidence
GPT-5.4 nano41.6%59.9%estimated ± 5.9 pp, low confidence
Mistral Medium 3.5 128B39.0%57.4%estimated ± 5.9 pp, low confidence
Mercury 2.534.5%52.8%estimated ± 5.9 pp, low confidence
Gemini 3.1 Flash-Lite34.1%52.4%estimated ± 5.9 pp, low confidence
Laguna M.134.1%52.4%estimated ± 5.9 pp, low confidence
Laguna XS.225.8%42.9%estimated ± 5.9 pp, low confidence
Command A+17.6%31.8%estimated ± 5.9 pp, low confidence

Fitted on

ModelTerminal-Bench 2.1 (Vals AI)AA Terminal-Bench 2.1
Claude Fable 580.5%84.6%
Claude Fable 5.185.0%91.4%
Claude Opus 4.871.9%84.6%
Claude Opus 584.6%89.1%
Claude Sonnet 574.5%80.5%
Gemini 3.7 Flash77.5%85.8%
Gemini 3.8 Flash81.3%87.6%
GLM-5.371.5%83.9%
GLM-5.3-Flash62.9%84.3%
GPT-5.576.4%84.3%
GPT-5.6 Luna79.0%80.9%
GPT-5.6 Terra77.5%88.0%
GPT-6 Astra87.3%88.4%
Grok 4.567.8%81.6%
Grok 4.678.3%88.4%
Inkling47.6%55.1%
Kimi K380.9%85.0%
Qwen3.8-27B58.4%79.8%