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DTEF: Predict response distributions for Chile. 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 | 3rd 77.0% | 1st 79.4% | 5th 74.4% | 2nd 77.9% | 6th 70.2% | 4th 75.5% | |
| 79.7% | 83% | 74% | 72% | 88% | 85% | 76% | |
| 71.3% | 78% | 73% | 73% | 78% | 59% | 67% | |
| 74.2% | 72% | 76% | 75% | 77% | 72% | 73% | |
| 82.3% | 85% | 90% | 81% | 87% | 74% | 77% | |
| 65.2% | 71% | 73% | 71% | 60% | 50% | 66% | |
| 75.8% | 72% | 82% | 76% | 67% | 76% | 82% | |
| 81.7% | 93% | 74% | 69% | 85% | 89% | 80% | |
| 80.5% | 75% | 81% | 87% | 80% | 77% | 83% | |
| 58.8% | 55% | 79% | 52% | 68% | 31% | 68% | |
| 87.8% | 86% | 92% | 88% | 89% | 89% | 83% |