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DTEF: Predict response distributions for Urban. Source: Global Dialogues GD6 (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 87.1% | 1st 91.2% | 5th 83.9% | 3rd 86.8% | 6th 79.7% | 4th 84.6% | |
| 82.8% | 78% | 97% | 69% | 86% | 84% | 83% | |
| 88.2% | 88% | 96% | 96% | 83% | 90% | 76% | |
| 91.5% | 90% | 96% | 91% | 93% | 88% | 91% | |
| 80.0% | 79% | 79% | 75% | 91% | 67% | 89% | |
| 78.2% | 82% | 89% | 65% | 74% | 80% | 79% | |
| 91.0% | 98% | 90% | 93% | 88% | 84% | 93% | |
| 89.0% | 90% | 93% | 91% | 91% | 83% | 86% | |
| 78.7% | 85% | 81% | 78% | 82% | 72% | 74% | |
| 88.0% | 90% | 96% | 88% | 87% | 79% | 88% | |
| 88.2% | 91% | 95% | 93% | 93% | 70% | 87% |