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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 | 4th 74.4% | 2nd 75.8% | 6th 71.7% | 3rd 75.4% | 1st 76.1% | 5th 73.7% | |
| 77.5% | 78% | 66% | 83% | 82% | 76% | 80% | |
| 70.3% | 73% | 75% | 54% | 73% | 72% | 75% | |
| 78.8% | 79% | 82% | 71% | 79% | 79% | 83% | |
| 78.3% | 81% | 84% | 77% | 75% | 84% | 69% | |
| 78.0% | 82% | 86% | 65% | 77% | 80% | 78% | |
| 75.0% | 79% | 84% | 66% | 79% | 76% | 66% | |
| 64.0% | 61% | 48% | 74% | 63% | 66% | 72% | |
| 72.2% | 62% | 76% | 74% | 78% | 72% | 71% | |
| 76.8% | 69% | 86% | 82% | 74% | 82% | 68% | |
| 74.2% | 80% | 71% | 71% | 74% | 74% | 75% |