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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 | 2nd 80.8% | 1st 82.3% | 6th 76.0% | 3rd 79.5% | 5th 78.3% | 4th 78.8% | |
| 76.8% | 81% | 74% | 76% | 69% | 86% | 75% | |
| 77.8% | 91% | 76% | 58% | 92% | 60% | 90% | |
| 84.8% | 87% | 87% | 79% | 82% | 83% | 91% | |
| 74.0% | 80% | 66% | 76% | 71% | 83% | 68% | |
| 72.5% | 67% | 76% | 71% | 76% | 74% | 71% | |
| 80.8% | 86% | 82% | 84% | 84% | 69% | 80% | |
| 82.0% | 91% | 91% | 80% | 87% | 66% | 77% | |
| 78.0% | 69% | 85% | 76% | 75% | 84% | 79% | |
| 85.5% | 80% | 96% | 77% | 85% | 94% | 81% | |
| 80.5% | 76% | 90% | 83% | 74% | 84% | 76% |