MEGA-Bench Task - Hashtag Recommendation: leaderboard

The "Hashtag Recommendation" 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
1InternVL3-14B97.6#505
2InternVL3-78B96.4#352
3Claude 3.5 Sonnet (20241022)95.8#291
4Claude 3.5 Sonnet (20240620)95.8#299
5Gemini 1.5 Pro (002)95.2#349
6Gemini 1.5 Flash (002)94#583
7InternVL3-38B94#405
8Gemini 2.5 Pro (Preview 03-25)94#123
9GPT-4o92.9#343
10Gemma 3 27B (IT)92.9#523
11Gemini 2.0 Flash (Preview)91.7#370
12GPT-4o Mini91.2#599
13Gemma 3 12B (IT)91.1#664
14InternVL2.5-78B91.1#431
15GLM-4.1V-9B (Thinking)91.1#472 (GLM-4.1V-9B)

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-hashtag-recommendation · How It Works · Data refreshed daily, snapshot 2026-10-20.