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DTEF: Predict response distributions for Urban. Source: Global Dialogues GD4 (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 81.3% | 1st 86.5% | 6th 77.2% | 3rd 82.5% | 5th 77.9% | 2nd 83.5% | |
| 85.7% | 89% | 92% | 84% | 84% | 76% | 89% | |
| 78.0% | 80% | 76% | 73% | 80% | 78% | 81% | |
| 89.3% | 89% | 96% | 84% | 90% | 81% | 96% | |
| 85.3% | 86% | 84% | 80% | 87% | 88% | 87% | |
| 84.0% | 82% | 93% | 82% | 83% | 88% | 76% | |
| 87.5% | 96% | 94% | 90% | 87% | 67% | 91% | |
| 47.8% | 31% | 63% | 45% | 50% | 47% | 51% | |
| 83.8% | 86% | 89% | 75% | 90% | 82% | 81% | |
| 85.3% | 85% | 85% | 84% | 84% | 87% | 87% | |
| 88.0% | 89% | 93% | 75% | 90% | 85% | 96% |