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DTEF: Predict response distributions for Spain. 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 73.2% | 2nd 73.7% | - - | 5th 64.2% | 4th 67.5% | 1st 74.7% | |
| 85.8% | 86% | 75% | 88% | 86% | 94% | ||
| 85.4% | 83% | 99% | 81% | 77% | 87% | ||
| 72.4% | 83% | 65% | 71% | 63% | 80% | ||
| 90.4% | 100% | 96% | 75% | 100% | 81% | ||
| 45.4% | 51% | 30% | 48% | 46% | 52% | ||
| 75.8% | 75% | 75% | 78% | 75% | 76% | ||
| 59.0% | 61% | 61% | 48% | 52% | 73% | ||
| 70.6% | 69% | 76% | 70% | 61% | 77% | ||
| 47.4% | 47% | 75% | 10% | 56% | 49% | ||
| 74.4% | 77% | 85% | 73% | 59% | 78% |