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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 | 3rd 85.0% | 1st 85.7% | 4th 83.5% | 2nd 85.1% | 5th 82.3% | 6th 82.2% | |
| 84.5% | 90% | 75% | 87% | 84% | 84% | 87% | |
| 87.7% | 94% | 93% | 72% | 93% | 90% | 84% | |
| 79.8% | 80% | 86% | 78% | 78% | 84% | 73% | |
| 89.2% | 91% | 91% | 90% | 85% | 87% | 91% | |
| 81.8% | 80% | 79% | 83% | 94% | 74% | 81% | |
| 85.7% | 91% | 90% | 79% | 86% | 82% | 86% | |
| 80.0% | 84% | 82% | 81% | 78% | 81% | 74% | |
| 76.3% | 71% | 77% | 83% | 78% | 70% | 79% | |
| 89.3% | 88% | 93% | 96% | 85% | 91% | 83% | |
| 85.3% | 81% | 91% | 86% | 90% | 80% | 84% |