benchgap
Calibration

ScreenSpot Pro → RealWorldQA

RealWorldQA is estimated from ScreenSpot Pro with a linear curve fitted on 6 models measured on both: y = 0.2850·x + 0.6393, R² = 0.96, cross-validated error 1.0 pp. It is used for 13 estimates.

Estimated modelScreenSpot ProRealWorldQASource
GPT-6 Astra92.7%90.3%estimated ± 1.0 pp, low confidence
Claude Opus 4.887.9%89.0%estimated ± 1.0 pp, low confidence
GPT-5.485.4%88.3%estimated ± 1.0 pp, low confidence
Gemini 3.1 Pro84.4%88.0%estimated ± 1.0 pp, medium confidence
Muse Spark84.1%87.9%estimated ± 1.0 pp, medium confidence
Claude Opus 4.683.1%87.6%estimated ± 1.0 pp, medium confidence
Muse Glimmer 30B75.4%85.4%estimated ± 1.0 pp, medium confidence
Holo2-235B-A22B70.6%84.0%estimated ± 1.0 pp, medium confidence
Qwen3.6 Plus68.2%83.4%estimated ± 1.0 pp, medium confidence
Holo2-30B-A3B66.1%82.8%estimated ± 1.0 pp, medium confidence
Holo2-8B58.9%80.7%estimated ± 1.0 pp, medium confidence
Nemotron 3 Nano Omni 30B A3B57.8%80.4%estimated ± 1.0 pp, medium confidence
Holo2-4B57.2%80.2%estimated ± 1.0 pp, medium confidence

Fitted on

ModelScreenSpot ProRealWorldQA
Claude Opus 4.545.7%77.0%
Gemini 3 Pro72.7%83.3%
LFM3-VL-2B55.5%79.3%
Qwen3.5 397B65.6%83.9%
Qwen3.7 Plus79.0%86.9%
Qwen3.8 Max84.5%88.0%