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DTEF: Predict response distributions for Mexico. 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 | 5th 70.6% | 6th 70.3% | 1st 79.8% | 3rd 74.6% | 4th 71.2% | 2nd 75.9% | |
| 66.8% | 68% | 68% | 67% | 58% | 77% | 63% | |
| 72.3% | 76% | 66% | 94% | 79% | 50% | 69% | |
| 69.2% | 63% | 67% | 75% | 74% | 57% | 79% | |
| 80.3% | 83% | 86% | 76% | 91% | 65% | 81% | |
| 51.0% | 43% | 31% | 53% | 49% | 62% | 68% | |
| 79.3% | 70% | 69% | 83% | 80% | 94% | 80% | |
| 94.8% | 84% | 99% | 100% | 92% | 95% | 99% | |
| 67.2% | 66% | 65% | 81% | 69% | 58% | 64% | |
| 76.5% | 71% | 72% | 89% | 79% | 67% | 81% | |
| 79.8% | 82% | 80% | 80% | 75% | 87% | 75% |