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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 | 6th 72.0% | 3rd 76.8% | 5th 74.5% | 2nd 77.5% | 4th 75.4% | 1st 79.4% | |
| 63.6% | 55% | 48% | 82% | 56% | 66% | 76% | |
| 80.9% | 93% | 82% | 61% | 88% | 76% | 86% | |
| 79.6% | 80% | 72% | 82% | 82% | 77% | 85% | |
| 74.6% | 59% | 63% | 82% | 82% | 83% | 79% | |
| 75.7% | 69% | 85% | 76% | 77% | 82% | 65% | |
| 80.6% | 67% | 84% | 89% | 89% | 63% | 92% | |
| 70.0% | 63% | 89% | 61% | 62% | 68% | 77% | |
| 73.7% | 74% | 75% | 73% | 75% | 75% | 71% | |
| 79.3% | 80% | 84% | 75% | 79% | 78% | 80% | |
| 81.1% | 80% | 87% | 65% | 85% | 87% | 83% |