YapBench: leaderboard
Measures LLM verbosity on brevity-ideal prompts. Models are scored on excess length beyond a minimal baseline answer using YapScore and YapIndex metrics.
Metric: YapIndex (lower is better). Source: huggingface.co. Status: years away from saturation. 108 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.6 Sol | 18.5 |
| 2 | GPT-3.5 Turbo | 22.7 |
| 3 | GPT-5.6 Luna | 27.8 |
| 4 | GPT-5.4 | 40.7 |
| 5 | Kimi K2 0905 | 44.7 |
| 6 | GPT-4 | 51.2 |
| 7 | GPT-5.3 Codex | 64.8 |
| 8 | GLM-4.7 Flash | 65 |
| 9 | GLM-4.7 | 68.7 |
| 10 | Grok 4 Fast | 70.2 |
| 11 | Kimi K2.7 Code | 72 |
| 12 | GPT-4.1 Mini | 75.7 |
| 13 | GLM-5.2 | 76.5 |
| 14 | Grok 4.5 | 83.8 |
| 15 | GPT-5.1 Codex | 85.3 |
Interactive version: theaggregate.ai/benchmark?slug=yapbench · How It Works · Data refreshed daily, snapshot 2026-09-05.