MEGA-Bench Task - Code Error Line Identification: leaderboard

The "Code Error Line Identification" 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
1Gemini 2.5 Pro (Preview 03-25)57.1#123
2GPT-4o42.9#343
3Gemini 1.5 Pro (002)42.9#349
4InternVL3-78B42.9#352
5Claude 3.5 Sonnet (20241022)35.7#291
6Qwen 2 VL 72B35.7#460
7GLM-4.1V-9B (Thinking)35.7#472 (GLM-4.1V-9B)
8Gemini 2.0 Flash (Preview)35.7#370
9Claude 3.5 Sonnet (20240620)28.6#299
10InternVL3-38B28.6#405
11InternVL3-14B28.6#505
12InternVL2.5-78B28.6#431
13Gemini 1.5 Flash (002)21.4#583
14InternVL2.5-2B21.4#1249
15Gemma 3 27B (IT)14.3#523

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-code-error-line-identification · How It Works · Data refreshed daily, snapshot 2026-10-20.