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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 | 2nd 82.5% | 1st 83.9% | 5th 80.9% | 4th 81.2% | 6th 72.0% | 3rd 82.0% | |
| 83.2% | 89% | 84% | 81% | 83% | 76% | 86% | |
| 75.5% | 78% | 76% | 69% | 77% | 76% | 77% | |
| 87.5% | 87% | 91% | 82% | 87% | 91% | 87% | |
| 81.8% | 89% | 85% | 78% | 86% | 71% | 82% | |
| 72.2% | 75% | 76% | 87% | 71% | 52% | 72% | |
| 87.2% | 87% | 93% | 90% | 88% | 71% | 94% | |
| 83.8% | 94% | 92% | 86% | 78% | 65% | 88% | |
| 77.8% | 80% | 80% | 82% | 83% | 64% | 78% | |
| 84.7% | 78% | 91% | 85% | 88% | 83% | 83% | |
| 70.5% | 68% | 71% | 69% | 71% | 71% | 73% |