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DTEF: Predict response distributions for China. Source: Global Dialogues GD6 (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 | 5th 71.4% | 4th 72.5% | 3rd 75.5% | 2nd 75.6% | 6th 70.8% | 1st 79.5% | |
| 71.5% | 67% | 74% | 72% | 72% | 70% | 74% | |
| 79.5% | 79% | 80% | 86% | 75% | 78% | 79% | |
| 86.8% | 87% | 95% | 93% | 82% | 82% | 82% | |
| 74.2% | 73% | 78% | 72% | 82% | 61% | 79% | |
| 58.7% | 68% | 39% | 40% | 70% | 65% | 70% | |
| 80.8% | 68% | 86% | 88% | 89% | 62% | 92% | |
| 63.2% | 53% | 40% | 86% | 54% | 69% | 77% | |
| 68.0% | 61% | 73% | 70% | 69% | 64% | 71% | |
| 74.3% | 73% | 73% | 67% | 76% | 75% | 82% | |
| 85.2% | 85% | 87% | 81% | 87% | 82% | 89% |