MEGA-Bench Task - Pokemon 3D Recognition: leaderboard

The "Pokemon 3D Recognition" 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
1Gemini 2.5 Pro (Preview 03-25)100#123
2Claude 3.5 Sonnet (20241022)93.3#291
3GPT-4o90#343
4Gemini 1.5 Flash (002)83.3#583
5Claude 3.5 Sonnet (20240620)80#299
6InternVL2.5-78B75#431
7Gemini 2.0 Flash (Preview)73.3#370
8GLM-4.1V-9B (Thinking)70#472 (GLM-4.1V-9B)
9Gemini 1.5 Pro (002)66.7#349
10Qwen 2 VL 72B61.7#460
11InternVL3-38B56.7#405
12InternVL3-78B45#352
13GPT-4o Mini43.3#599
14InternVL3-14B36.7#505
15Qwen 2 VL 7B35#750

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-pokemon-3d-recognition · How It Works · Data refreshed daily, snapshot 2026-10-20.