# ScreenSpot Pro → ERQA

Calibration · https://benchgap.net/calibration/1413 · data retrieved 2026-10-29

ERQA is estimated from ScreenSpot Pro with a Michaelis–Menten curve fitted on 10 models measured on both: y = 1.3152·x / (0.78626 + x), R² = 0.46, cross-validated error 8.7 pp. It is used for 4 estimates.

| Estimated model | ScreenSpot Pro | ERQA | Source |
|---|---|---|---|
| [Holo2-235B-A22B](https://benchgap.net/model/holo2-235b-a22b.md) | 70.6% | 62.2% | estimated ± 8.7 pp, low confidence |
| [Holo2-30B-A3B](https://benchgap.net/model/holo2-30b-a3b.md) | 66.1% | 60.1% | estimated ± 8.7 pp, low confidence |
| [Holo2-8B](https://benchgap.net/model/holo2-8b.md) | 58.9% | 56.3% | estimated ± 8.7 pp, low confidence |
| [Holo2-4B](https://benchgap.net/model/holo2-4b.md) | 57.2% | 55.4% | estimated ± 8.7 pp, low confidence |

## Fitted on

| Model | ScreenSpot Pro | ERQA |
|---|---|---|
| [Claude Opus 4.5](https://benchgap.net/model/claude-opus-4-5.md) | 45.7% | 46.8% |
| [Claude Opus 4.6](https://benchgap.net/model/claude-opus-4-6.md) | 83.1% | 51.6% |
| [Gemini 3.1 Pro](https://benchgap.net/model/gemini-3-1-pro.md) | 84.4% | 69.4% |
| [Gemini 3 Pro](https://benchgap.net/model/gemini-3-pro.md) | 72.7% | 70.5% |
| [GPT-5.4](https://benchgap.net/model/gpt-5-4.md) | 85.4% | 65.4% |
| [LFM3-VL-2B](https://benchgap.net/model/lfm3-vl-2b.md) | 55.5% | 48.2% |
| [Muse Spark](https://benchgap.net/model/muse-spark.md) | 84.1% | 64.7% |
| [Qwen3.5 397B](https://benchgap.net/model/qwen3-5-397b.md) | 65.6% | 67.5% |
| [Qwen3.7 Plus](https://benchgap.net/model/qwen3-7-plus.md) | 79.0% | 69.8% |
| [Qwen3.8 Max](https://benchgap.net/model/qwen3-8-max.md) | 84.5% | 77.8% |