benchgap
Calibration

GDPval-AA → CyberGym

CyberGym is estimated from GDPval-AA with a Michaelis–Menten curve fitted on 17 models measured on both: y = 1.9858·x / (0.70257 + x), R² = 0.81, cross-validated error 6.2 pp. It is used for 31 estimates.

Estimated modelGDPval-AACyberGymSource
A.X K223.2%49.3%estimated ± 6.2 pp, low confidence
Apodex 1.1 Mini34.8%65.8%estimated ± 6.2 pp, medium confidence
DeepSeek V3 03240.0%0.0%estimated ± 6.2 pp, low confidence
Gemma 4 12B0.0%0.0%estimated ± 6.2 pp, low confidence
Gemma 4 26B A4B3.4%9.2%estimated ± 6.2 pp, low confidence
Gemma 4 E2B0.0%0.0%estimated ± 6.2 pp, low confidence
Gemma 4 E4B0.0%0.0%estimated ± 6.2 pp, low confidence
GPT-4.1 mini0.0%0.0%estimated ± 6.2 pp, low confidence
GPT-4.1 nano0.0%0.0%estimated ± 6.2 pp, low confidence
GPT-4o0.0%0.0%estimated ± 6.2 pp, low confidence
GPT-4o mini0.0%0.0%estimated ± 6.2 pp, low confidence
GPT-5.116.5%37.8%estimated ± 6.2 pp, low confidence
GPT-5 (high)21.0%45.7%estimated ± 6.2 pp, low confidence
GPT-6 Luna46.9%79.5%estimated ± 6.2 pp, medium confidence
Granite 4.2 30B3.9%10.4%estimated ± 6.2 pp, low confidence
Granite 4.2 3B0.0%0.0%estimated ± 6.2 pp, low confidence
Grok 4.760.8%92.1%estimated ± 6.2 pp, low confidence
K-Exaone0.0%0.0%estimated ± 6.2 pp, low confidence
LFM2.5-2.6B0.0%0.0%estimated ± 6.2 pp, low confidence
Ling 2.6 Flash0.0%0.0%estimated ± 6.2 pp, low confidence
Ling 3.0 Flash VL33.2%63.7%estimated ± 6.2 pp, medium confidence
Ling 3.0 Tiny3.2%8.7%estimated ± 6.2 pp, low confidence
Mercury 2.50.0%0.0%estimated ± 6.2 pp, low confidence
MiMo-V2-Flash6.6%17.1%estimated ± 6.2 pp, low confidence
MiniCPM5-2B10.5%25.8%estimated ± 6.2 pp, low confidence
Mistral Large 446.2%78.8%estimated ± 6.2 pp, medium confidence
Nemotron 3 Nano Omni 30B A3B0.0%0.0%estimated ± 6.2 pp, low confidence
North Mini Code0.0%0.0%estimated ± 6.2 pp, low confidence
Qwen3.6 Plus24.7%51.7%estimated ± 6.2 pp, low confidence
Solar Pro 30.0%0.0%estimated ± 6.2 pp, low confidence
Ultravox v0.6 Llama 3.3 70B0.0%0.0%estimated ± 6.2 pp, low confidence