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DTEF: Predict response distributions for Chile. Source: Global Dialogues GD4 (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 74.0% | 5th 70.7% | 1st 77.0% | 4th 73.3% | 6th 70.0% | 2nd 75.7% | |
| 78.8% | 82% | 76% | 71% | 84% | 80% | 80% | |
| 87.7% | 94% | 81% | 83% | 95% | 86% | 87% | |
| 77.5% | 73% | 77% | 84% | 77% | 70% | 84% | |
| 73.3% | 83% | 53% | 73% | 70% | 83% | 78% | |
| 83.2% | 85% | 82% | 80% | 86% | 73% | 93% | |
| 73.8% | 75% | 79% | 84% | 77% | 58% | 70% | |
| 17.3% | 13% | 8% | 31% | 9% | 22% | 21% | |
| 75.5% | 78% | 73% | 75% | 72% | 74% | 81% | |
| 88.7% | 82% | 97% | 98% | 85% | 86% | 84% | |
| 78.7% | 75% | 81% | 91% | 78% | 68% | 79% |