AGC-Bench - thenextchapter: leaderboard
The "thenextchapter" subtask of AGC-Bench. A task from AGC-Bench, evaluating models on open-ended creative and figurative-language generation — humor, metaphor, analogy, storytelling and brainstorming — typically graded by LLM-as-judge.
Metric: Dataset z-score. Source: huggingface.co. Saturation forecast: Not forecast. 83 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Kimi K2 0905 | 2.77 | #288 |
| 2 | Qwen 3 Next 80B A3B Instruct | 2.37 | #368 |
| 3 | Mistral Medium 3.1 | 2.08 | #408 |
| 4 | Ministral 3 8B | 1.72 | #687 |
| 5 | Kimi K2.6 | 1.38 | #104 |
| 6 | GPT-5.1 | 1.25 | #135 |
| 7 | Kimi K2.5 | 1.24 | #144 |
| 8 | nemotron-3-nano-30B-a3B | 1.19 | #662 |
| 9 | Mistral Large 3 | 1.13 | #401 |
| 10 | DeepSeek V3.1 Terminus | 0.94 | #220 |
| 11 | DeepSeek V3.1 | 0.94 | #264 |
| 12 | GPT-5.4 Nano | 0.93 | #328 |
| 13 | DeepSeek V3.2 Exp | 0.84 | #234 |
| 14 | Gemma 3 27B (IT) | 0.77 | #523 |
| 15 | Nemotron 3 Super | 0.76 | #335 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=agc-bench-thenextchapter · How It Works · Data refreshed daily, snapshot 2026-10-20.