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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 | 3rd 71.9% | 2nd 72.6% | 1st 73.8% | 5th 69.5% | 6th 60.8% | 4th 70.8% | |
| 72.7% | 69% | 71% | 80% | 79% | 66% | 71% | |
| 48.7% | 52% | 51% | 55% | 54% | 33% | 47% | |
| 74.2% | 76% | 79% | 82% | 69% | 61% | 78% | |
| 86.5% | 96% | 89% | 92% | 81% | 65% | 96% | |
| 63.5% | 66% | 60% | 70% | 64% | 63% | 58% | |
| 55.3% | 57% | 54% | 54% | 49% | 56% | 62% | |
| 78.3% | 70% | 83% | 86% | 76% | 83% | 72% | |
| 68.3% | 71% | 69% | 63% | 69% | 68% | 70% | |
| 63.5% | 68% | 74% | 64% | 68% | 36% | 71% | |
| 88.0% | 94% | 96% | 92% | 86% | 77% | 83% |