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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 78.8% | 5th 70.7% | 2nd 75.6% | 4th 74.2% | 6th 65.9% | 3rd 74.3% | |
| 83.5% | 86% | 83% | 83% | 85% | 85% | 79% | |
| 75.0% | 80% | 80% | 84% | 79% | 53% | 74% | |
| 70.2% | 71% | 63% | 74% | 70% | 73% | 70% | |
| 75.3% | 81% | 88% | 66% | 78% | 64% | 75% | |
| 75.5% | 81% | 83% | 71% | 76% | 68% | 74% | |
| 69.7% | 64% | 71% | 79% | 66% | 74% | 64% | |
| 75.0% | 86% | 68% | 64% | 81% | 74% | 77% | |
| 69.2% | 80% | 51% | 90% | 63% | 58% | 73% | |
| 65.8% | 84% | 49% | 73% | 72% | 39% | 78% | |
| 73.3% | 75% | 71% | 72% | 72% | 71% | 79% |