benchgap
Calibration

Terminal-Bench 2.1 (Vals AI) → Terminal-Bench 3.0

Terminal-Bench 3.0 is estimated from Terminal-Bench 2.1 (Vals AI) with a Hill curve fitted on 11 models measured on both: y = 0.0000 + (1.2000 − 0.0000)·x^6.00 / (0.98911^6.00 + x^6.00), R² = 0.67, cross-validated error 6.9 pp. It is used for 38 estimates.

Estimated modelTerminal-Bench 2.1 (Vals AI)Terminal-Bench 3.0Source
GPT-6 Astra87.3%38.5%estimated ± 6.9 pp, low confidence
Claude Fable 5.185.0%34.5%estimated ± 6.9 pp, medium confidence
Gemini 3.8 Flash81.3%28.3%estimated ± 6.9 pp, medium confidence
Kimi K380.9%27.6%estimated ± 6.9 pp, medium confidence
GPT-5.576.4%21.0%estimated ± 6.9 pp, medium confidence
DeepSeek V4.1 Flash 101774.5%18.5%estimated ± 6.9 pp, medium confidence
Gemini 3.5 Flash74.2%18.2%estimated ± 6.9 pp, medium confidence
Gemini 3.6 Flash73.8%17.7%estimated ± 6.9 pp, medium confidence
Grok 4.773.4%17.2%estimated ± 6.9 pp, medium confidence
Muse Spark 1.372.3%15.9%estimated ± 6.9 pp, medium confidence
GLM-5.371.5%15.0%estimated ± 6.9 pp, medium confidence
Gemini 3.1 Pro70.8%14.2%estimated ± 6.9 pp, medium confidence
Muse Spark 1.269.7%13.1%estimated ± 6.9 pp, medium confidence
Muse Spark 1.169.3%12.7%estimated ± 6.9 pp, medium confidence
Claude Opus 4.768.5%11.9%estimated ± 6.9 pp, medium confidence
Qwen3.8 Max67.4%10.9%estimated ± 6.9 pp, low confidence
DeepSeek V4 Flash 073167.0%10.6%estimated ± 6.9 pp, low confidence
Kimi K2.7 Code67.0%10.6%estimated ± 6.9 pp, low confidence
GLM-5.3-Flash62.9%7.4%estimated ± 6.9 pp, low confidence
Qwen3.7 Max61.0%6.3%estimated ± 6.9 pp, low confidence
MiMo-V2.560.7%6.1%estimated ± 6.9 pp, low confidence
Composer 2.558.4%4.9%estimated ± 6.9 pp, low confidence
Qwen3.8-27B58.4%4.9%estimated ± 6.9 pp, low confidence
Claude Sonnet 4.657.3%4.4%estimated ± 6.9 pp, low confidence
MiMo-V2.5-Pro57.3%4.4%estimated ± 6.9 pp, low confidence
GLM-5.156.9%4.2%estimated ± 6.9 pp, low confidence
Hy4 preview55.1%3.5%estimated ± 6.9 pp, low confidence
Inkling-Small55.1%3.5%estimated ± 6.9 pp, low confidence
DeepSeek V4 Pro 081354.7%3.3%estimated ± 6.9 pp, low confidence
GPT-5.4 mini54.7%3.3%estimated ± 6.9 pp, low confidence
Gemini 3 Flash53.9%3.1%estimated ± 6.9 pp, low confidence
Kimi K2.653.6%3.0%estimated ± 6.9 pp, low confidence
MiniMax M353.6%3.0%estimated ± 6.9 pp, low confidence
Qwen3.6 Plus53.2%2.8%estimated ± 6.9 pp, low confidence
Qwen3.7 Plus52.8%2.7%estimated ± 6.9 pp, low confidence
Nemotron 3 Ultra50.9%2.2%estimated ± 6.9 pp, low confidence
Gemini 3.5 Flash-Lite50.2%2.0%estimated ± 6.9 pp, low confidence
Ling 3.0 Flash50.2%2.0%estimated ± 6.9 pp, low confidence

Fitted on

ModelTerminal-Bench 2.1 (Vals AI)Terminal-Bench 3.0
Claude Fable 580.5%34.1%
Claude Opus 4.871.9%21.1%
Claude Opus 584.6%42.7%
Claude Sonnet 574.5%14.6%
Gemini 3.7 Flash77.5%14.9%
GLM-5.267.8%4.6%
GPT-5.6 Luna79.0%14.3%
GPT-5.6 Sol85.8%34.6%
GPT-5.6 Terra77.5%20.8%
Grok 4.567.8%15.7%
Grok 4.678.3%26.5%