HoloCount - Linguistic Prior Conflict: leaderboard
Images that contradict a strong language prior, such as an animal with an unusual number of limbs: a subset of HoloCount (Meituan, 2026), a visual counting benchmark for multimodal LLMs. Models answer with a single integer, zero-shot; exact-match accuracy in percent, higher is better.
Metric: Accuracy (%; exact-match accuracy of the single integer count a multimodal model returns zero-shot for an image and a counting question, with a strict integer-only system prompt; images that contradict a strong language prior, such as a lobster with other than two claws (163 questions); higher is better). Source: arxiv.org. Saturation forecast: Around March 2027. 30 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 73.6 | #94 |
| 2 | Gemini 3 Flash (Preview) | 69.9 | #144 |
| 3 | Claude Opus 4.8 | 52.1 | #56 |
| 4 | Qwen 3.5 27B | 52.1 | #359 |
| 5 | Qwen 3.5 397B A17B | 50.3 | #246 |
| 6 | Claude Opus 4.7 | 49.1 | #79 |
| 7 | GPT-5.5 | 48.5 | #49 |
| 8 | Kimi K2.6 | 48.5 | #178 |
| 9 | Qwen 3.5 122B A10B | 47.9 | #331 |
| 10 | GPT-5.4 | 46.6 | #123 |
| 11 | GPT-4.1 | 46.6 | #495 |
| 12 | Qwen 3.5 35B A3B | 46.6 | #482 |
| 13 | Kimi K2.5 | 44.8 | #256 |
| 14 | Gemini 2.5 Pro | 44.2 | #266 |
| 15 | Qwen 3.5 4B | 44.2 | #1175 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=holocount-linguistic-prior-conflict · How It Works · Data refreshed daily, snapshot 2026-11-13.