MEGA-Bench Task - SNLI-VE Visual Entailment: leaderboard
The "SNLI-VE Visual Entailment" 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 | InternVL3-38B | 93.3 | #405 |
| 2 | Qwen 2 VL 72B | 93.3 | #460 |
| 3 | GPT-4o | 86.7 | #343 |
| 4 | InternVL3-78B | 86.7 | #352 |
| 5 | Gemini 2.5 Pro (Preview 03-25) | 86.7 | #123 |
| 6 | Gemini 2.0 Flash (Preview) | 86.7 | #370 |
| 7 | InternVL2.5-2B | 86.7 | #1249 |
| 8 | Gemma 3 27B (IT) | 80 | #523 |
| 9 | Gemma 3 12B (IT) | 80 | #664 |
| 10 | GPT-4o Mini | 80 | #599 |
| 11 | Claude 3.5 Sonnet (20241022) | 80 | #291 |
| 12 | InternVL3-8B | 80 | #620 |
| 13 | Claude 3.5 Sonnet (20240620) | 80 | #299 |
| 14 | Qwen 2 VL 7B | 80 | #750 |
| 15 | InternVL3-14B | 80 | #505 |
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-snli-ve-visual-entailment · How It Works · Data refreshed daily, snapshot 2026-10-20.