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DTEF: Predict response distributions for Japan. Source: Global Dialogues GD3 (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 73.9% | 4th 70.1% | 5th 69.0% | 3rd 73.5% | 6th 68.1% | 1st 73.9% | |
| 83.2% | 88% | 76% | 82% | 83% | 90% | 80% | |
| 68.5% | 72% | 80% | 70% | 78% | 44% | 67% | |
| 71.2% | 75% | 67% | 73% | 68% | 74% | 70% | |
| 72.2% | 72% | 74% | 75% | 75% | 66% | 71% | |
| 39.3% | 39% | 55% | 34% | 33% | 35% | 40% | |
| 72.7% | 66% | 74% | 73% | 71% | 76% | 76% | |
| 83.0% | 81% | 83% | 78% | 83% | 84% | 89% | |
| 75.7% | 76% | 78% | 77% | 81% | 67% | 75% | |
| 67.3% | 80% | 34% | 72% | 72% | 67% | 79% | |
| 81.2% | 90% | 80% | 56% | 91% | 78% | 92% |