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DTEF: Predict response distributions for Urban. Source: Global Dialogues GD7 (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 | 2nd 86.0% | 1st 87.4% | 4th 85.7% | 3rd 85.9% | 6th 80.8% | 5th 85.3% | |
| 86.0% | 88% | 88% | 90% | 79% | 85% | 86% | |
| 89.7% | 87% | 90% | 94% | 95% | 89% | 83% | |
| 87.7% | 79% | 94% | 94% | 79% | 89% | 91% | |
| 85.7% | 94% | 87% | 87% | 88% | 76% | 82% | |
| 85.5% | 87% | 84% | 77% | 90% | 86% | 89% | |
| 81.2% | 87% | 80% | 76% | 91% | 75% | 78% | |
| 85.0% | 88% | 88% | 82% | 82% | 83% | 87% | |
| 80.2% | 87% | 85% | 80% | 79% | 66% | 84% | |
| 87.8% | 77% | 90% | 96% | 89% | 86% | 89% | |
| 83.2% | 86% | 88% | 81% | 87% | 73% | 84% |