MEGA-Bench Task - Tweets Captioning: leaderboard

The "Tweets Captioning" 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
1Claude 3.5 Sonnet (20241022)70.7#291
2Claude 3.5 Sonnet (20240620)65#299
3GPT-4o Mini61.4#599
4GPT-4o60#343
5Gemini 2.5 Pro (Preview 03-25)60#123
6InternVL2.5-78B57.9#431
7Gemini 1.5 Pro (002)57.1#349
8InternVL3-78B56.4#352
9Qwen 2 VL 72B56.4#460
10Qwen 2 VL 7B55#750
11Gemini 2.0 Flash (Preview)55#370
12GLM-4.1V-9B (Thinking)54.3#472 (GLM-4.1V-9B)
13Gemini 1.5 Flash (002)52.1#583
14Pixtral-12B50.7#808
15InternVL3-14B49.3#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-tweets-captioning · How It Works · Data refreshed daily, snapshot 2026-10-20.