MEGA-Bench Task - Movie Info Parsing: leaderboard

The "Movie 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)76.8#123
2Claude 3.5 Sonnet (20241022)75.9#291
3Qwen 2 VL 72B74.1#460
4Claude 3.5 Sonnet (20240620)73.2#299
5Qwen 2 VL 7B72.3#750
6Gemini 2.0 Flash (Preview)71.4#370
7GPT-4o Mini69.6#599
8Pixtral-12B69.6#808
9GPT-4o68.8#343
10Gemma 3 27B (IT)67#523
11InternVL3-8B67#620
12Qwen 2 VL 2B67#1220
13InternVL3-78B66.1#352
14GLM-4.1V-9B (Thinking)66.1#472 (GLM-4.1V-9B)
15Gemma 3 12B (IT)65.2#664

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-movie-info-parsing · How It Works · Data refreshed daily, snapshot 2026-10-20.