MEGA-Bench Task - Dish Ingredient Match: leaderboard

The "Dish Ingredient Match" 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
2Qwen 2 VL 72B78.6#460
3Claude 3.5 Sonnet (20240620)71.4#299
4Claude 3.5 Sonnet (20241022)64.3#291
5GLM-4.1V-9B (Thinking)64.3#472 (GLM-4.1V-9B)
6Gemma 3 27B (IT)57.1#523
7Gemini 1.5 Pro (002)57.1#349
8GPT-4o50#343
9Gemma 3 12B (IT)50#664
10Gemini 1.5 Flash (002)50#583
11GPT-4o Mini42.9#599
12InternVL2.5-78B42.9#431
13Qwen 2 VL 7B28.6#750
14InternVL3-38B21.4#405
15InternVL3-14B21.4#505

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-dish-ingredient-match · How It Works · Data refreshed daily, snapshot 2026-10-20.