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DTEF: Predict response distributions for Suburban. 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 | 2nd 85.1% | 1st 86.1% | 6th 81.6% | 3rd 84.0% | 5th 82.7% | 4th 83.5% | |
| 84.5% | 82% | 91% | 78% | 80% | 84% | 92% | |
| 85.7% | 94% | 92% | 70% | 90% | 90% | 78% | |
| 81.2% | 72% | 83% | 78% | 82% | 91% | 81% | |
| 89.2% | 95% | 93% | 85% | 90% | 86% | 86% | |
| 85.0% | 88% | 78% | 85% | 83% | 86% | 90% | |
| 91.0% | 95% | 94% | 86% | 91% | 94% | 86% | |
| 79.5% | 83% | 83% | 81% | 76% | 74% | 80% | |
| 68.7% | 74% | 70% | 78% | 70% | 55% | 65% | |
| 88.8% | 88% | 91% | 86% | 90% | 87% | 91% | |
| 84.8% | 80% | 86% | 89% | 88% | 80% | 86% |