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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 73.1% | 6th 61.4% | 5th 65.0% | 3rd 68.4% | 4th 67.9% | 2nd 71.2% | |
| 63.4% | 77% | 0% | 76% | 85% | 79% | ||
| 45.8% | 52% | 44% | 55% | 30% | 48% | ||
| 70.0% | 69% | 67% | 70% | 70% | 74% | ||
| 84.6% | 92% | 84% | 81% | 77% | 89% | ||
| 59.5% | 61% | 51% | 65% | 58% | 62% | 60% | |
| 58.6% | 57% | 57% | 62% | 61% | 56% | ||
| 78.8% | 77% | 81% | 74% | 77% | 85% | ||
| 71.0% | 77% | 71% | 68% | 65% | 74% | ||
| 73.0% | 76% | 78% | 66% | 75% | 70% | ||
| 80.4% | 93% | 81% | 74% | 77% | 77% |