AGC-Bench - data_narrative: leaderboard
The "data_narrative" 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: Around November 2026. 83 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.1 | 1.45 | #135 |
| 2 | Kimi K2.5 | 1.42 | #144 |
| 3 | Claude Opus 4.7 | 1.4 | #49 |
| 4 | Mistral Medium 3.1 | 1.37 | #408 |
| 5 | Claude Opus 4.6 | 1.24 | #63 |
| 6 | GLM-5-Turbo | 1.21 | #119 |
| 7 | GLM-5.1 | 1.19 | #97 |
| 8 | Claude Opus 4.5 | 1.17 | #83 |
| 9 | Claude Sonnet 4.6 | 1.16 | #90 |
| 10 | Claude Sonnet 4 | 1.1 | #199 |
| 11 | Mistral Large 3 | 1.06 | #401 |
| 12 | GPT-5.4 | 1.06 | #79 |
| 13 | Kimi K2.6 | 1.02 | #104 |
| 14 | Claude Sonnet 4.5 | 1 | #142 |
| 15 | GPT-5.5 | 1 | #31 |
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-data-narrative · How It Works · Data refreshed daily, snapshot 2026-10-20.