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DTEF: Predict response distributions for China. 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 | 6th 73.5% | 3rd 77.5% | 5th 74.5% | 2nd 77.8% | 4th 74.8% | 1st 79.1% | |
| 65.3% | 56% | 48% | 82% | 55% | 75% | 76% | |
| 81.1% | 93% | 87% | 61% | 87% | 74% | 86% | |
| 79.7% | 80% | 78% | 81% | 80% | 75% | 85% | |
| 77.2% | 70% | 69% | 82% | 81% | 85% | 77% | |
| 76.1% | 69% | 86% | 76% | 81% | 80% | 66% | |
| 80.5% | 67% | 84% | 89% | 89% | 63% | 92% | |
| 67.4% | 68% | 78% | 61% | 63% | 60% | 76% | |
| 74.2% | 73% | 76% | 73% | 78% | 74% | 72% | |
| 78.8% | 80% | 81% | 75% | 79% | 78% | 80% | |
| 81.9% | 80% | 92% | 65% | 88% | 85% | 83% |