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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 | 1st 74.8% | 5th 71.6% | 2nd 74.7% | 3rd 74.4% | 6th 65.8% | 4th 72.6% | |
| 68.2% | 67% | 77% | 71% | 59% | 71% | 64% | |
| 74.5% | 81% | 78% | 76% | 74% | 63% | 75% | |
| 83.8% | 84% | 81% | 94% | 88% | 78% | 78% | |
| 71.2% | 73% | 78% | 72% | 68% | 63% | 73% | |
| 75.5% | 83% | 75% | 80% | 71% | 60% | 84% | |
| 79.2% | 78% | 78% | 82% | 92% | 67% | 78% | |
| 52.3% | 56% | 49% | 50% | 55% | 52% | 52% | |
| 70.7% | 77% | 60% | 79% | 77% | 64% | 67% | |
| 76.2% | 77% | 72% | 75% | 85% | 70% | 78% | |
| 71.7% | 72% | 68% | 68% | 75% | 70% | 77% |