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DTEF: Predict response distributions for Malaysia. 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 | 4th 66.6% | 2nd 67.5% | 6th 64.7% | 3rd 67.4% | 5th 65.5% | 1st 70.0% | |
| 61.8% | 62% | 59% | 60% | 63% | 65% | ||
| 79.0% | 81% | 82% | 79% | 82% | 68% | 82% | |
| 51.0% | 45% | 47% | 57% | 55% | 44% | 58% | |
| 70.8% | 78% | 78% | 73% | 56% | 69% | ||
| 54.0% | 54% | 43% | 51% | 61% | 61% | ||
| 63.0% | 60% | 71% | 65% | 60% | 59% | ||
| 83.4% | 78% | 89% | 82% | 86% | 82% | ||
| 63.0% | 67% | 65% | 58% | 58% | 66% | 64% | |
| 60.4% | 58% | 53% | 60% | 63% | 68% | ||
| 87.8% | 83% | 88% | 88% | 88% | 92% |