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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 | 3rd 80.8% | 1st 83.0% | 5th 79.5% | 2nd 82.1% | 6th 77.3% | 4th 80.6% | |
| 84.3% | 83% | 90% | 84% | 84% | 82% | 83% | |
| 71.8% | 72% | 70% | 71% | 73% | 71% | 74% | |
| 91.5% | 90% | 94% | 89% | 91% | 94% | 91% | |
| 88.7% | 88% | 91% | 83% | 93% | 91% | 86% | |
| 80.3% | 84% | 77% | 80% | 89% | 72% | 80% | |
| 82.8% | 77% | 91% | 85% | 79% | 73% | 92% | |
| 89.8% | 90% | 92% | 89% | 92% | 82% | 94% | |
| 67.5% | 76% | 72% | 76% | 69% | 59% | 53% | |
| 75.2% | 69% | 84% | 76% | 71% | 74% | 77% | |
| 73.5% | 79% | 69% | 62% | 80% | 75% | 76% |