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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 65.8% | 3rd 68.1% | 5th 65.8% | 2nd 69.2% | 6th 65.3% | 1st 69.4% | |
| 60.8% | 62% | 61% | 54% | 60% | 63% | 65% | |
| 75.7% | 81% | 79% | 65% | 82% | 67% | 80% | |
| 51.7% | 43% | 50% | 57% | 55% | 47% | 58% | |
| 72.0% | 78% | 81% | 78% | 73% | 56% | 66% | |
| 55.8% | 54% | 43% | 60% | 56% | 62% | 60% | |
| 61.3% | 60% | 69% | 65% | 61% | 54% | 59% | |
| 83.3% | 78% | 86% | 79% | 82% | 86% | 89% | |
| 64.0% | 66% | 65% | 58% | 67% | 67% | 61% | |
| 61.7% | 58% | 59% | 54% | 68% | 63% | 68% | |
| 86.3% | 78% | 88% | 88% | 88% | 88% | 88% |