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DTEF: Predict response distributions for Italy. Source: Global Dialogues GD5 (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 | 1st 73.0% | 4th 70.4% | 2nd 72.7% | 6th 68.2% | 5th 68.4% | 3rd 71.6% | |
| 75.8% | 80% | 71% | 71% | 76% | 71% | 86% | |
| 51.2% | 48% | 54% | 57% | 57% | 44% | 47% | |
| 70.8% | 74% | 75% | 68% | 67% | 65% | 76% | |
| 83.8% | 92% | 81% | 92% | 81% | 65% | 92% | |
| 62.7% | 69% | 60% | 60% | 60% | 69% | 58% | |
| 55.8% | 56% | 54% | 61% | 49% | 54% | 61% | |
| 83.0% | 85% | 88% | 92% | 74% | 81% | 78% | |
| 68.7% | 69% | 69% | 66% | 69% | 69% | 70% | |
| 67.8% | 65% | 56% | 63% | 69% | 80% | 74% | |
| 87.5% | 92% | 96% | 97% | 80% | 86% | 74% |