StatFormBench - Coarse-Grained Classification: leaderboard
Metric: Accuracy (%). Source: arxiv.org. 14 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 79 |
| 2 | Claude Opus 4.6 | 77.7 |
| 3 | Gemini 3 Flash | 77 |
| 4 | GPT-5.4 | 75.2 |
| 5 | GPT-5.5 | 72.9 |
| 6 | Claude Sonnet 4.6 | 71.9 |
| 7 | Kimi K2.5 | 71.5 |
| 8 | DeepSeek V4 Flash | 71.2 |
| 9 | Qwen 3.5 397B A17B | 70.6 |
| 10 | DeepSeek V4 Pro | 66.2 |
| 11 | Qwen 3.5 4B | 37.7 |
| 12 | Qwen 3.5 9B | 29.1 |
| 13 | Qwen 3.5 0.8B | 7.9 |
| 14 | Qwen 3.5 2B | 7.7 |
Interactive version: theaggregate.ai/benchmark?slug=statformbench-coarse-grained-classification · How It Works · Data refreshed daily, snapshot 2026-09-19.