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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 | 2nd 72.1% | 6th 55.8% | 3rd 71.7% | 4th 71.1% | 5th 68.3% | 1st 72.7% | |
| 76.0% | 66% | 75% | 72% | 82% | 82% | 79% | |
| 53.3% | 55% | 55% | 65% | 54% | 44% | 47% | |
| 62.0% | 76% | 0% | 80% | 74% | 66% | 76% | |
| 66.5% | 85% | 0% | 77% | 81% | 60% | 96% | |
| 61.3% | 63% | 58% | 52% | 64% | 71% | 60% | |
| 58.8% | 58% | 61% | 63% | 61% | 55% | 55% | |
| 82.3% | 85% | 87% | 82% | 74% | 88% | 78% | |
| 71.0% | 76% | 69% | 71% | 72% | 68% | 70% | |
| 63.7% | 61% | 57% | 63% | 63% | 63% | 75% | |
| 91.2% | 96% | 96% | 92% | 86% | 86% | 91% |