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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% | 3rd 77.8% | 2nd 79.5% | 5th 76.0% | 4th 77.0% | 6th 75.0% | |
| 77.3% | 79% | 74% | 72% | 77% | 80% | 82% | |
| 78.8% | 77% | 79% | 77% | 82% | 81% | 77% | |
| 69.5% | 73% | 76% | 77% | 61% | 69% | 61% | |
| 84.7% | 92% | 82% | 92% | 84% | 78% | 80% |