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DTEF: Predict response distributions for Germany. Source: Global Dialogues GD6 (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 72.4% | 5th 69.9% | 2nd 72.8% | 4th 72.2% | 6th 66.7% | 1st 73.0% | |
| 62.8% | 58% | 57% | 53% | 58% | 75% | 76% | |
| 80.5% | 76% | 78% | 80% | 81% | 87% | 81% | |
| 73.2% | 71% | 78% | 71% | 70% | 80% | 69% | |
| 72.2% | 66% | 60% | 86% | 73% | 68% | 80% | |
| 49.0% | 67% | 50% | 29% | 49% | 47% | 52% | |
| 75.7% | 81% | 72% | 79% | 88% | 59% | 75% | |
| 72.5% | 64% | 72% | 77% | 81% | 64% | 77% | |
| 73.7% | 74% | 71% | 92% | 74% | 60% | 71% | |
| 71.3% | 82% | 68% | 72% | 73% | 59% | 74% | |
| 80.8% | 85% | 93% | 89% | 75% | 68% | 75% |