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DTEF: Predict response distributions for China. Source: Global Dialogues GD5 (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 75.5% | 1st 76.2% | 5th 69.9% | 2nd 76.0% | 6th 67.1% | 4th 74.2% | |
| 73.8% | 86% | 73% | 56% | 80% | 69% | 79% | |
| 72.7% | 77% | 61% | 86% | 78% | 56% | 78% | |
| 69.8% | 66% | 74% | 70% | 75% | 69% | 65% | |
| 72.3% | 79% | 82% | 67% | 74% | 60% | 72% | |
| 69.8% | 66% | 77% | 66% | 69% | 65% | 76% | |
| 68.5% | 70% | 70% | 61% | 71% | 71% | 68% | |
| 81.8% | 81% | 93% | 63% | 84% | 84% | 86% | |
| 73.3% | 68% | 74% | 85% | 73% | 79% | 61% | |
| 76.3% | 80% | 89% | 73% | 79% | 51% | 86% | |
| 73.0% | 82% | 69% | 72% | 77% | 67% | 71% |