MEGA-Bench Task - TV Show Info Parsing: leaderboard

The "TV Show Info Parsing" 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)92.1#123
2Qwen 2 VL 72B90.5#460
3Claude 3.5 Sonnet (20241022)86.5#291
4GPT-4o82.5#343
5InternVL2.5-78B82.5#431
6InternVL3-78B81#352
7Gemini 2.0 Flash (Preview)80.2#370
8Llama 4 Scout Base80.2#707
9Claude 3.5 Sonnet (20240620)77#299
10InternVL3-38B77#405
11Gemma 3 27B (IT)76.2#523
12Gemma 3 12B (IT)75.4#664
13GPT-4o Mini75.4#599
14Gemini 1.5 Flash (002)75.4#583
15GLM-4.1V-9B (Thinking)75.4#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-tv-show-info-parsing · How It Works · Data refreshed daily, snapshot 2026-10-20.