MBA-Bench - Specificity: leaderboard
Metric: Specificity rating (1-4; clarity and concreteness of the idea, scored by an InternVL2.5-78B MLLM judge over five business ideas for each of three questions per test image on the MBA-Bench multimodal business-ideation test set). Source: arxiv.org. Saturation forecast: Estimated already saturated. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 4 |
| 2 | GPT-5 Mini | 4 |
| 3 | Gemini 3.5 Flash | 4 |
| 4 | Gemini 3.6 Flash | 4 |
| 5 | GPT-5 | 3.99 |
| 6 | Claude Sonnet 4.6 | 3.88 |
| 7 | Qwen 2.5 VL 7B Instruct | 3.6 |
| 8 | GPT-4o | 3.51 |
| 9 | Qwen 2.5 VL 32B Instruct | 3.5 |
Interactive version: theaggregate.ai/benchmark?slug=mba-bench-specificity · How It Works · Data refreshed daily, snapshot 2026-09-26.