MEGA-Bench Task - Emotion Recognition: leaderboard

The "Emotion 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: Around January 2027. 44 models tracked.

Top models

#ModelScoreOverall rank
1Claude 3.5 Sonnet (20240620)71.4#299
2GPT-4o Mini64.3#599
3Gemini 1.5 Flash (002)64.3#583
4Gemini 2.5 Pro (Preview 03-25)64.3#123
5GLM-4.1V-9B (Thinking)64.3#472 (GLM-4.1V-9B)
6Gemini 2.0 Flash (Preview)64.3#370
7GPT-4o57.1#343
8InternVL3-8B57.1#620
9Gemini 1.5 Pro (002)57.1#349
10InternVL3-78B57.1#352
11Qwen 2 VL 7B57.1#750
12Qwen 2 VL 72B57.1#460
13InternVL2.5-78B57.1#431
14Gemma 3 4B (IT)50#992
15Claude 3.5 Sonnet (20241022)50#291

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-emotion-recognition · How It Works · Data refreshed daily, snapshot 2026-10-20.