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DTEF: Predict response distributions for Italy. Source: Global Dialogues GD6 (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 67.8% | 4th 62.3% | 3rd 63.4% | 2nd 64.2% | 6th 53.9% | 5th 61.2% | |
| 59.8% | 60% | 65% | 61% | 63% | 55% | 55% | |
| 53.7% | 71% | 47% | 41% | 49% | 66% | 48% | |
| 65.0% | 72% | 63% | 64% | 70% | 51% | 70% | |
| 62.8% | 60% | 61% | 60% | 68% | 64% | 64% | |
| 59.5% | 70% | 53% | 40% | 63% | 68% | 63% | |
| 64.5% | 74% | 65% | 75% | 74% | 39% | 60% | |
| 56.2% | 62% | 61% | 54% | 58% | 44% | 58% | |
| 60.2% | 59% | 54% | 74% | 59% | 48% | 67% | |
| 70.3% | 80% | 72% | 82% | 71% | 46% | 71% | |
| 69.3% | 70% | 82% | 83% | 67% | 58% | 56% |