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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 | 3rd 87.2% | 1st 90.7% | 6th 80.3% | 2nd 87.4% | 5th 82.8% | 4th 87.1% | |
| 86.8% | 92% | 94% | 81% | 87% | 77% | 90% | |
| 85.0% | 92% | 89% | 70% | 90% | 87% | 82% | |
| 88.0% | 85% | 97% | 85% | 85% | 88% | 88% | |
| 88.3% | 90% | 96% | 84% | 90% | 79% | 91% | |
| 86.8% | 86% | 86% | 73% | 93% | 89% | 94% | |
| 82.2% | 86% | 86% | 73% | 87% | 83% | 78% | |
| 85.8% | 87% | 91% | 85% | 84% | 75% | 93% | |
| 82.7% | 86% | 88% | 82% | 83% | 72% | 85% | |
| 86.2% | 82% | 95% | 87% | 85% | 86% | 82% | |
| 87.3% | 86% | 85% | 83% | 90% | 92% | 88% |