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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 | 4th 73.0% | 6th 67.5% | 3rd 75.5% | 2nd 78.4% | 5th 70.2% | 1st 79.2% | |
| 72.2% | 77% | 67% | 72% | 72% | 71% | 74% | |
| 79.3% | 81% | 80% | 86% | 79% | 73% | 77% | |
| 86.5% | 87% | 87% | 93% | 87% | 82% | 83% | |
| 73.0% | 73% | 75% | 72% | 80% | 61% | 77% | |
| 58.7% | 68% | 39% | 40% | 69% | 65% | 71% | |
| 81.2% | 68% | 86% | 88% | 91% | 64% | 90% | |
| 65.5% | 53% | 40% | 86% | 66% | 69% | 79% | |
| 64.2% | 59% | 49% | 70% | 73% | 64% | 70% | |
| 75.3% | 79% | 73% | 67% | 81% | 70% | 82% | |
| 83.8% | 85% | 79% | 81% | 86% | 83% | 89% |