MEGA-Bench - Application: Coding: leaderboard

The "Application: Coding" subtask of MEGA-Bench. TIGER-Lab multimodal evaluation with 500+ tasks across vision-language understanding, generation, and reasoning with 44 models.

Metric: Average Score (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 44 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)53.5#123
2Claude 3.5 Sonnet (20240620)51.9#299
3Claude 3.5 Sonnet (20241022)51.7#291
4GPT-4o50.3#343
5Gemini 2.0 Flash (Preview)49.5#370
6InternVL3-78B46.7#352
7InternVL3-38B44.1#405
8Gemini 1.5 Pro (002)43.5#349
9Qwen 2 VL 72B41.2#460
10InternVL3-14B40.9#505
11Gemma 3 27B (IT)40.2#523
12InternVL2.5-78B39.3#431
13Gemini 1.5 Flash (002)36.8#583
14GLM-4.1V-9B (Thinking)35.1#472 (GLM-4.1V-9B)
15GPT-4o Mini34.6#599

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-application-coding · How It Works · Data refreshed daily, snapshot 2026-10-20.