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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 | 1st 76.4% | 5th 71.4% | 4th 72.0% | 2nd 75.6% | 6th 69.5% | 3rd 74.1% | |
| 82.2% | 86% | 88% | 79% | 85% | 85% | 70% | |
| 78.2% | 76% | 79% | 78% | 86% | 69% | 81% | |
| 68.2% | 62% | 65% | 63% | 70% | 74% | 75% | |
| 75.7% | 75% | 90% | 70% | 78% | 64% | 77% | |
| 70.5% | 86% | 81% | 57% | 73% | 58% | 68% | |
| 71.7% | 62% | 71% | 81% | 73% | 76% | 67% | |
| 73.3% | 78% | 69% | 72% | 82% | 66% | 73% | |
| 69.7% | 84% | 57% | 71% | 65% | 71% | 70% | |
| 65.0% | 80% | 38% | 67% | 72% | 61% | 72% | |
| 77.3% | 75% | 76% | 82% | 72% | 71% | 88% |