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DTEF: Predict response distributions for Urban. Source: Global Dialogues GD1 (https://github.com/collect-intel/global-dialogues)
Average key point coverage extent for each model across all prompts.
| Prompts vs. Models | Claude Haiku 4.5 | Gemini 2.5 Flash | Gemma 3 12b It | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o Mini | |
|---|---|---|---|---|---|---|---|
| Score | 1st 80.3% | 4th 77.3% | 2nd 79.5% | 5th 76.3% | 3rd 77.5% | 6th 74.8% | |
| 77.0% | 79% | 74% | 72% | 76% | 80% | 81% | |
| 78.7% | 77% | 78% | 77% | 82% | 81% | 77% | |
| 69.8% | 73% | 76% | 77% | 61% | 71% | 61% | |
| 84.8% | 92% | 81% | 92% | 86% | 78% | 80% |