benchgap
Calibration

ScreenSpot Pro → CharXiv

CharXiv is estimated from ScreenSpot Pro with a Michaelis–Menten curve fitted on 12 models measured on both: y = 1.2249·x / (0.35656 + x), R² = 0.71, cross-validated error 3.9 pp. It is used for 6 estimates.

Estimated modelScreenSpot ProCharXivSource
GPT-6 Astra92.7%88.5%estimated ± 3.9 pp, medium confidence
Claude Opus 4.683.1%85.7%estimated ± 3.9 pp, high confidence
Holo2-235B-A22B70.6%81.4%estimated ± 3.9 pp, high confidence
Holo2-30B-A3B66.1%79.6%estimated ± 3.9 pp, high confidence
Holo2-8B58.9%76.3%estimated ± 3.9 pp, high confidence
Holo2-4B57.2%75.5%estimated ± 3.9 pp, high confidence

Fitted on

ModelScreenSpot ProCharXiv
Claude Opus 4.545.7%68.5%
Claude Opus 4.887.9%89.9%
Gemini 3.1 Pro84.4%80.2%
Gemini 3 Pro72.7%81.4%
GPT-5.485.4%82.8%
Muse Glimmer 30B75.4%78.8%
Muse Spark84.1%86.4%
Nemotron 3 Nano Omni 30B A3B57.8%76.3%
Qwen3.5 397B65.6%80.8%
Qwen3.6 Plus68.2%81.5%
Qwen3.7 Plus79.0%85.9%
Qwen3.8 Max84.5%93.5%