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DTEF: Predict response distributions for Chile. 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 | 4th 80.6% | 2nd 81.8% | 3rd 80.7% | 5th 78.7% | 6th 75.6% | 1st 83.0% | |
| 86.7% | 84% | 90% | 86% | 90% | 81% | 89% | |
| 71.3% | 72% | 68% | 70% | 72% | 68% | 78% | |
| 89.5% | 90% | 90% | 89% | 90% | 86% | 92% | |
| 82.3% | 88% | 88% | 83% | 56% | 91% | 88% | |
| 80.2% | 84% | 72% | 82% | 86% | 72% | 85% | |
| 83.5% | 79% | 90% | 85% | 83% | 73% | 91% | |
| 89.2% | 87% | 92% | 89% | 91% | 82% | 94% | |
| 69.2% | 76% | 72% | 76% | 72% | 59% | 60% | |
| 75.5% | 69% | 87% | 77% | 69% | 74% | 77% | |
| 73.3% | 77% | 69% | 70% | 78% | 70% | 76% |