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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 | 3rd 74.8% | 6th 67.5% | 5th 72.6% | 4th 73.1% | 1st 77.1% | 2nd 76.7% | |
| 75.0% | 81% | 75% | 72% | 68% | 77% | 77% | |
| 73.5% | 75% | 78% | 66% | 75% | 79% | 68% | |
| 77.0% | 72% | 67% | 87% | 79% | 70% | 87% | |
| 78.3% | 78% | 74% | 75% | 79% | 87% | 77% | |
| 61.2% | 82% | 47% | 43% | 58% | 66% | 71% | |
| 85.2% | 71% | 88% | 85% | 89% | 89% | 89% | |
| 61.7% | 74% | 43% | 75% | 49% | 63% | 66% | |
| 64.8% | 59% | 55% | 73% | 67% | 71% | 64% | |
| 75.2% | 80% | 68% | 67% | 79% | 77% | 80% | |
| 84.5% | 76% | 80% | 83% | 88% | 92% | 88% |