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DTEF: Predict response distributions for Japan. Source: Global Dialogues GD7 (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 76.0% | 2nd 75.5% | 5th 73.2% | 3rd 75.2% | 4th 74.4% | 6th 69.3% | |
| 63.3% | 66% | 60% | 59% | 70% | 52% | 73% | |
| 82.0% | 89% | 85% | 75% | 89% | 77% | 77% | |
| 75.5% | 76% | 76% | 88% | 67% | 83% | 63% | |
| 63.0% | 58% | 70% | 69% | 53% | 69% | 59% | |
| 64.5% | 74% | 70% | 59% | 63% | 58% | 63% | |
| 69.2% | 66% | 73% | 77% | 68% | 67% | 64% | |
| 75.7% | 74% | 77% | 76% | 78% | 73% | 76% | |
| 79.0% | 90% | 76% | 68% | 91% | 92% | 57% | |
| 84.2% | 75% | 88% | 88% | 88% | 88% | 78% | |
| 83.0% | 92% | 80% | 73% | 85% | 85% | 83% |