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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 73.3% | 3rd 71.7% | 4th 70.9% | 5th 70.6% | 6th 66.1% | 2nd 71.9% | |
| 75.7% | 77% | 77% | 69% | 76% | 76% | 79% | |
| 48.3% | 51% | 51% | 59% | 55% | 26% | 48% | |
| 71.7% | 70% | 67% | 76% | 73% | 70% | 74% | |
| 85.0% | 92% | 89% | 77% | 89% | 74% | 89% | |
| 60.2% | 61% | 49% | 63% | 60% | 61% | 67% | |
| 60.0% | 56% | 64% | 61% | 62% | 61% | 56% | |
| 81.0% | 77% | 88% | 81% | 75% | 82% | 83% | |
| 70.2% | 76% | 71% | 70% | 68% | 65% | 71% | |
| 73.8% | 78% | 78% | 74% | 69% | 69% | 75% | |
| 81.7% | 95% | 83% | 79% | 79% | 77% | 77% |