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DTEF: Predict response distributions for Urban. Source: Global Dialogues GD5 (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 84.8% | 3rd 82.1% | 5th 78.5% | 2nd 82.2% | 6th 77.1% | 4th 80.5% | |
| 79.2% | 81% | 78% | 75% | 76% | 82% | 83% | |
| 85.2% | 91% | 87% | 90% | 86% | 71% | 86% | |
| 79.7% | 82% | 84% | 75% | 83% | 70% | 84% | |
| 62.3% | 68% | 59% | 56% | 81% | 55% | 55% | |
| 89.3% | 95% | 81% | 93% | 92% | 83% | 92% | |
| 79.7% | 78% | 91% | 77% | 75% | 78% | 79% | |
| 86.8% | 83% | 89% | 86% | 85% | 88% | 90% | |
| 85.8% | 95% | 85% | 83% | 88% | 76% | 88% | |
| 80.8% | 86% | 82% | 81% | 76% | 82% | 78% | |
| 79.8% | 89% | 85% | 69% | 80% | 86% | 70% |