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DTEF: Predict response distributions for Japan. Source: Global Dialogues GD4 (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 74.3% | 5th 71.0% | 4th 72.5% | 1st 74.9% | 6th 66.7% | 2nd 74.6% | |
| 66.3% | 63% | 66% | 74% | 66% | 59% | 70% | |
| 66.3% | 66% | 65% | 55% | 72% | 70% | 70% | |
| 78.3% | 84% | 75% | 77% | 87% | 63% | 84% | |
| 79.1% | 76% | 80% | 75% | 80% | 76% | 88% | |
| 79.3% | 84% | 62% | 86% | 80% | 83% | 82% | |
| 64.7% | 71% | 68% | 71% | 68% | 45% | 66% | |
| 61.6% | 60% | 74% | 60% | 62% | 57% | 56% | |
| 69.6% | 73% | 73% | 70% | 75% | 64% | 63% | |
| 84.2% | 85% | 75% | 75% | 87% | 85% | 98% | |
| 74.3% | 81% | 72% | 83% | 73% | 66% | 71% |