NRITYAM: leaderboard
Language models have become essential tools in shaping modern workflows. However, their global effectiveness hinges on a nuanced understanding of local socio-cultural contexts. To address this gap, we present NRITYAM, a comprehensive benchmark for evaluating the cultural comprehension capabilities of language models in the context of global dance traditions. NRITYAM comprises 9,260 carefully curat
Metric: Score (self-reported). Source: benchmarklist.com. Saturation forecast: Around February 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 61.73 | #98 |
| 2 | Claude Opus 4.5 | 61.32 | #83 |
| 3 | GPT-4 | 53.08 | #438 |
| 4 | Qwen 3 32B | 43.76 | #443 |
| 5 | Phi-4 | 40.36 | #706 |
| 6 | Llama 3.1 8B | 36.99 | #1151 |
| 7 | gemma-7B | 35.32 | #1384 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=nrityam · How It Works · Data refreshed daily, snapshot 2026-10-20.