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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 81.1% | 1st 83.8% | 5th 80.0% | 2nd 82.8% | 6th 77.7% | 3rd 82.4% | |
| 85.0% | 84% | 89% | 85% | 84% | 85% | 83% | |
| 72.2% | 72% | 68% | 72% | 73% | 70% | 78% | |
| 89.5% | 87% | 89% | 85% | 93% | 93% | 90% | |
| 88.5% | 88% | 90% | 83% | 91% | 91% | 88% | |
| 80.7% | 83% | 76% | 82% | 87% | 72% | 84% | |
| 84.0% | 78% | 94% | 86% | 81% | 73% | 92% | |
| 89.8% | 96% | 87% | 89% | 91% | 82% | 94% | |
| 70.3% | 78% | 72% | 76% | 75% | 59% | 62% | |
| 75.7% | 69% | 89% | 75% | 70% | 74% | 77% | |
| 76.0% | 76% | 67% | 83% | 78% | 76% |