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DTEF: Predict response distributions for Germany. Source: Global Dialogues GD7 (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 71.7% | 1st 74.6% | 4th 71.0% | 2nd 71.9% | 6th 66.8% | 5th 70.4% | |
| 71.3% | 74% | 78% | 65% | 73% | 75% | 63% | |
| 65.2% | 66% | 65% | 65% | 67% | 63% | 65% | |
| 92.2% | 91% | 96% | 96% | 94% | 92% | 84% | |
| 71.0% | 69% | 72% | 71% | 72% | 67% | 75% | |
| 71.2% | 71% | 69% | 77% | 70% | 62% | 78% | |
| 71.3% | 67% | 75% | 72% | 73% | 69% | 72% | |
| 63.7% | 67% | 70% | 60% | 65% | 62% | 58% | |
| 73.7% | 75% | 74% | 73% | 75% | 69% | 76% | |
| 68.5% | 72% | 72% | 67% | 66% | 65% | 69% | |
| 62.7% | 65% | 75% | 64% | 64% | 44% | 64% |