benchgap
Calibration

JobBench → GDP.pdf

GDP.pdf is estimated from JobBench with a offset logistic curve fitted on 5 models measured on both: y = 0.1780 + (0.2675 − 0.1780) / (1 + exp(−200.00·(x − 0.6285))), R² = 0.68, cross-validated error 5.2 pp. It is used for 15 estimates.

Estimated modelJobBenchGDP.pdfSource
Atria Dawn Preview50.3%17.8%estimated ± 5.2 pp, low confidence
Claude 4.1 Opus21.9%17.8%estimated ± 5.2 pp, low confidence
Claude 4 Sonnet18.4%17.8%estimated ± 5.2 pp, low confidence
Claude Haiku 4.516.0%17.8%estimated ± 5.2 pp, low confidence
Claude Opus 4.532.3%17.8%estimated ± 5.2 pp, low confidence
Claude Sonnet 4.527.7%17.8%estimated ± 5.2 pp, low confidence
Gemini 3 Flash11.4%17.8%estimated ± 5.2 pp, low confidence
Gemini 3 Pro11.4%17.8%estimated ± 5.2 pp, low confidence
GPT-5.1-Codex26.2%17.8%estimated ± 5.2 pp, low confidence
GPT-5.234.3%17.8%estimated ± 5.2 pp, low confidence
GPT-5.2-Codex26.0%17.8%estimated ± 5.2 pp, low confidence
GPT-5.3 Codex33.7%17.8%estimated ± 5.2 pp, low confidence
GPT-5 (high)8.5%17.8%estimated ± 5.2 pp, low confidence
Kimi K2.58.7%17.8%estimated ± 5.2 pp, low confidence
Qwen3.5 Plus18.5%17.8%estimated ± 5.2 pp, low confidence