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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 | 5th 70.5% | 2nd 72.0% | 1st 72.5% | 6th 67.4% | 4th 71.2% | 2nd 72.0% | |
| 71.7% | 63% | 76% | 63% | 79% | 82% | 67% | |
| 52.5% | 54% | 52% | 51% | 59% | 51% | 48% | |
| 74.3% | 76% | 73% | 80% | 71% | 70% | 76% | |
| 84.0% | 96% | 81% | 89% | 81% | 64% | 93% | |
| 65.8% | 62% | 60% | 80% | 58% | 63% | 72% | |
| 54.2% | 47% | 64% | 55% | 47% | 56% | 56% | |
| 78.0% | 78% | 83% | 85% | 71% | 78% | 73% | |
| 69.2% | 74% | 69% | 64% | 70% | 68% | 70% | |
| 69.2% | 63% | 66% | 63% | 64% | 83% | 76% | |
| 90.5% | 92% | 96% | 95% | 74% | 97% | 89% |