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DTEF: Predict response distributions for Chile. 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 | 5th 79.0% | 2nd 80.7% | 4th 79.3% | 3rd 80.4% | 6th 77.0% | 1st 82.1% | |
| 80.2% | 81% | 74% | 82% | 74% | 77% | 93% | |
| 72.0% | 73% | 74% | 59% | 79% | 74% | 73% | |
| 90.0% | 91% | 96% | 82% | 90% | 90% | 91% | |
| 79.2% | 85% | 83% | 84% | 74% | 67% | 82% | |
| 78.8% | 75% | 72% | 91% | 82% | 71% | 82% | |
| 87.2% | 87% | 90% | 86% | 87% | 81% | 92% | |
| 88.7% | 90% | 92% | 84% | 94% | 86% | 86% | |
| 74.8% | 72% | 70% | 94% | 75% | 67% | 71% | |
| 82.7% | 78% | 92% | 71% | 82% | 93% | 80% | |
| 64.0% | 58% | 64% | 60% | 67% | 64% | 71% |