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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 | 4th 84.7% | 1st 87.3% | 3rd 85.2% | 2nd 86.7% | 5th 84.2% | 6th 83.8% | |
| 85.0% | 88% | 86% | 97% | 83% | 80% | 76% | |
| 88.2% | 85% | 88% | 89% | 95% | 89% | 83% | |
| 86.7% | 81% | 91% | 94% | 84% | 91% | 79% | |
| 88.5% | 90% | 89% | 92% | 86% | 82% | 92% | |
| 87.8% | 92% | 88% | 75% | 92% | 91% | 89% | |
| 79.7% | 89% | 80% | 65% | 87% | 81% | 76% | |
| 85.3% | 89% | 86% | 82% | 86% | 82% | 87% | |
| 81.2% | 82% | 85% | 79% | 79% | 77% | 85% | |
| 88.5% | 77% | 93% | 96% | 88% | 89% | 88% | |
| 82.3% | 74% | 87% | 83% | 87% | 80% | 83% |