MEGA-Bench Task - Chess Winner Identification: leaderboard

The "Chess Winner Identification" 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: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)86.7#123
2GPT-4o66.7#343
3Claude 3.5 Sonnet (20241022)53.3#291
4Gemini 1.5 Pro (002)53.3#349
5InternVL3-38B53.3#405
6InternVL2-8B53.3#817
7InternVL2.5-2B53.3#1249
8GPT-4o Mini46.7#599
9Claude 3.5 Sonnet (20240620)46.7#299
10MiniCPM-V-2.646.7#836
11InternVL3-14B46.7#505
12Qwen 2 VL 72B46.7#460
13Llama 4 Scout Base46.7#707
14Gemma 3 12B (IT)40#664
15Gemma 3 4B (IT)40#992

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=mega-bench-task-chess-winner-identification · How It Works · Data refreshed daily, snapshot 2026-10-20.