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DTEF: Predict response distributions for Mexico. Source: Global Dialogues GD7 (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 67.0% | 5th 66.1% | 1st 73.5% | 6th 65.7% | 4th 66.8% | 2nd 69.9% | |
| 76.2% | 75% | 75% | 84% | 64% | 82% | 77% | |
| 65.8% | 61% | 62% | 67% | 73% | 63% | 69% | |
| 72.0% | 82% | 78% | 67% | 70% | 72% | 63% | |
| 71.8% | 72% | 74% | 69% | 67% | 71% | 78% | |
| 52.3% | 48% | 47% | 60% | 50% | 52% | 57% | |
| 81.3% | 78% | 74% | 91% | 80% | 80% | 85% | |
| 62.7% | 61% | 61% | 71% | 64% | 58% | 61% | |
| 73.3% | 70% | 67% | 85% | 64% | 72% | 82% | |
| 67.7% | 69% | 66% | 83% | 64% | 58% | 66% | |
| 58.5% | 54% | 57% | 58% | 61% | 60% | 61% |