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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 | 2nd 84.4% | 1st 86.4% | 6th 78.7% | 3rd 82.8% | 5th 79.0% | 4th 80.0% | |
| 82.3% | 81% | 81% | 84% | 84% | 82% | 82% | |
| 85.0% | 87% | 92% | 78% | 85% | 84% | 84% | |
| 79.2% | 81% | 79% | 77% | 78% | 78% | 82% | |
| 72.3% | 76% | 86% | 65% | 84% | 58% | 65% | |
| 90.2% | 95% | 95% | 82% | 89% | 92% | 88% | |
| 77.7% | 82% | 78% | 72% | 83% | 69% | 82% | |
| 86.0% | 87% | 87% | 92% | 80% | 88% | 82% | |
| 86.5% | 85% | 93% | 79% | 90% | 87% | 85% | |
| 76.2% | 74% | 85% | 73% | 77% | 71% | 77% | |
| 83.5% | 96% | 88% | 85% | 78% | 81% | 73% |