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DTEF: Predict response distributions for Chile. Source: Global Dialogues GD6 (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 | 1st 79.8% | 5th 75.1% | 3rd 75.9% | 2nd 76.0% | 6th 72.0% | 4th 75.9% | |
| 89.0% | 90% | 90% | 81% | 90% | 93% | 90% | |
| 67.3% | 74% | 62% | 60% | 64% | 78% | 66% | |
| 79.8% | 91% | 80% | 79% | 79% | 65% | 85% | |
| 74.3% | 74% | 68% | 79% | 77% | 69% | 79% | |
| 76.2% | 91% | 60% | 58% | 77% | 90% | 81% | |
| 75.5% | 73% | 78% | 87% | 80% | 66% | 69% | |
| 76.3% | 85% | 81% | 83% | 75% | 57% | 77% | |
| 88.3% | 88% | 95% | 85% | 91% | 81% | 90% | |
| 66.8% | 67% | 67% | 78% | 61% | 64% | 64% | |
| 64.2% | 65% | 70% | 69% | 66% | 57% | 58% |