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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 73.9% | 5th 68.7% | 2nd 73.0% | 3rd 72.0% | 6th 62.5% | 4th 70.3% | |
| 68.0% | 71% | 73% | 73% | 62% | 59% | 70% | |
| 68.3% | 74% | 59% | 71% | 72% | 67% | 67% | |
| 81.0% | 85% | 81% | 94% | 85% | 70% | 71% | |
| 69.8% | 69% | 67% | 72% | 75% | 56% | 80% | |
| 69.8% | 75% | 67% | 78% | 71% | 58% | 70% | |
| 70.8% | 77% | 69% | 78% | 71% | 61% | 69% | |
| 62.0% | 67% | 65% | 52% | 64% | 62% | 62% | |
| 75.8% | 72% | 80% | 81% | 79% | 66% | 77% | |
| 67.8% | 76% | 60% | 76% | 71% | 55% | 69% | |
| 67.2% | 73% | 66% | 55% | 70% | 71% | 68% |