MEGA-Bench Task - Code Output Result: leaderboard
The "Code Output Result" 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro (Preview 03-25) | 85.7 | #123 |
| 2 | InternVL3-38B | 71.4 | #405 |
| 3 | InternVL3-78B | 71.4 | #352 |
| 4 | Claude 3.5 Sonnet (20241022) | 64.3 | #291 |
| 5 | Gemini 1.5 Pro (002) | 64.3 | #349 |
| 6 | Claude 3.5 Sonnet (20240620) | 64.3 | #299 |
| 7 | Gemma 3 27B (IT) | 57.1 | #523 |
| 8 | Gemma 3 12B (IT) | 57.1 | #664 |
| 9 | InternVL3-14B | 57.1 | #505 |
| 10 | Gemini 2.0 Flash (Preview) | 57.1 | #370 |
| 11 | InternVL3-8B | 50 | #620 |
| 12 | Gemini 1.5 Flash (002) | 50 | #583 |
| 13 | GPT-4o | 42.9 | #343 |
| 14 | Qwen 2 VL 72B | 42.9 | #460 |
| 15 | InternVL2.5-78B | 42.9 | #431 |
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-output-result · How It Works · Data refreshed daily, snapshot 2026-10-20.