Cedar - Multimodal - Hindi: leaderboard
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around 2031. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Flash (Thinking) | 47.73 |
| 2 | Gemma 3 27B (IT) | 44.38 |
| 3 | Qwen 3 VL 235B A22B (Thinking) | 41.71 |
| 4 | Claude Sonnet 4.5 | 40.82 |
| 5 | GPT-4o (2024-11-20) | 39.14 |
| 6 | aya-vision-8B | 33.57 |
| 7 | Mistral Small 3.2 | 32.98 |
| 8 | Llama 3.2 11B Instruct | 32.92 |
| 9 | Pixtral-12B-2409 | 29.55 |
| 10 | Qwen 3 VL 8B (Thinking) | 27.85 |
Interactive version: theaggregate.ai/benchmark?slug=cedar-multimodal-hindi · How It Works · Data refreshed daily, snapshot 2026-09-25.