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DTEF: Predict response distributions for Japan. 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 | 2nd 71.8% | 5th 64.8% | - - | 3rd 70.5% | 4th 67.8% | 1st 72.4% | |
| 88.4% | 82% | 92% | 87% | 82% | 99% | ||
| 76.0% | 74% | 78% | 80% | 67% | 81% | ||
| 69.2% | 79% | 50% | 72% | 71% | 74% | ||
| 64.6% | 64% | 53% | 77% | 67% | 62% | ||
| 61.0% | 62% | 27% | 71% | 71% | 74% | ||
| 74.0% | 74% | 74% | 74% | 74% | 74% | ||
| 72.0% | 76% | 82% | 64% | 64% | 74% | ||
| 62.6% | 65% | 64% | 63% | 51% | 70% | ||
| 67.0% | 70% | 64% | 60% | 78% | 63% | ||
| 59.8% | 72% | 64% | 57% | 53% | 53% |