MEGA-Bench Task - Web Action Grounding: leaderboard

The "Web Action Grounding" subtask of MEGA-Bench Task. A single task from MEGA-Bench, a large-scale multimodal evaluation suite that scores vision-language models across 500+ real-world tasks spanning perception, reasoning, OCR, charts, documents, and multi-image understanding.

Metric: Task Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 3 27B (IT)85.7#523
2Claude 3.5 Sonnet (20241022)78.6#291
3Claude 3.5 Sonnet (20240620)78.6#298
4InternVL3-78B78.6#353
5Gemini 2.5 Pro (Preview 03-25)78.6#123
6Qwen 2 VL 7B78.6#750
7Qwen 2 VL 72B78.6#461
8GLM-4.1V-9B (Thinking)78.6#470 (GLM-4.1V-9B)
9InternVL3-38B71.4#405
10GPT-4o64.3#343
11GPT-4o Mini64.3#599
12Gemini 1.5 Pro (002)64.3#350
13Gemini 2.0 Flash (Preview)64.3#370
14Llama 4 Scout Base64.3#707
15InternVL3-14B57.1#506

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-web-action-grounding · How It Works · Data refreshed daily, snapshot 2026-10-21.