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DTEF: Predict response distributions for Germany. Source: Global Dialogues GD4 (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 61.7% | 1st 65.7% | 4th 61.6% | 2nd 63.9% | 6th 59.0% | 5th 59.7% | |
| 61.3% | 61% | 67% | 59% | 65% | 60% | 56% | |
| 70.2% | 70% | 70% | 60% | 81% | 69% | 71% | |
| 83.8% | 86% | 81% | 92% | 85% | 74% | 85% | |
| 66.3% | 66% | 73% | 68% | 62% | 71% | 58% | |
| 72.8% | 69% | 77% | 69% | 76% | 78% | 68% | |
| 59.2% | 66% | 64% | 71% | 62% | 38% | 54% | |
| 25.2% | 16% | 35% | 22% | 25% | 24% | 29% | |
| 59.7% | 63% | 62% | 57% | 60% | 62% | 54% | |
| 59.5% | 54% | 67% | 52% | 60% | 62% | 62% | |
| 61.3% | 66% | 61% | 66% | 63% | 52% | 60% |