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DTEF: Predict response distributions for China. 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 77.0% | 4th 72.1% | 6th 66.0% | 3rd 73.9% | 2nd 76.0% | 5th 71.7% | |
| 67.7% | 73% | 64% | 55% | 64% | 78% | 72% | |
| 68.3% | 74% | 70% | 55% | 75% | 69% | 67% | |
| 81.0% | 93% | 89% | 70% | 80% | 79% | 75% | |
| 75.8% | 74% | 64% | 83% | 78% | 82% | 74% | |
| 81.7% | 89% | 89% | 59% | 88% | 88% | 77% | |
| 74.0% | 84% | 70% | 67% | 71% | 78% | ||
| 65.8% | 71% | 49% | 74% | 59% | 73% | 69% | |
| 69.3% | 68% | 62% | 76% | 65% | 75% | 70% | |
| 77.2% | 76% | 87% | 65% | 82% | 86% | 67% | |
| 67.3% | 68% | 77% | 56% | 77% | 52% | 74% |