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DTEF: Predict response distributions for Spain. Source: Global Dialogues GD3 (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 62.9% | 1st 66.9% | 5th 61.9% | 4th 62.3% | 6th 58.1% | 2nd 66.7% | |
| 51.5% | 47% | 56% | 60% | 49% | 50% | 47% | |
| 57.7% | 56% | 43% | 59% | 59% | 59% | 70% | |
| 66.7% | 62% | 67% | 70% | 69% | 59% | 73% | |
| 53.3% | 49% | 47% | 49% | 55% | 65% | 55% | |
| 34.2% | 28% | 100% | 22% | 20% | 5% | 30% | |
| 61.3% | 65% | 67% | 70% | 47% | 56% | 63% | |
| 83.0% | 75% | 87% | 80% | 87% | 82% | 87% | |
| 86.5% | 100% | 74% | 80% | 100% | 75% | 90% | |
| 53.0% | 57% | 47% | 50% | 47% | 47% | 70% | |
| 84.2% | 90% | 81% | 79% | 90% | 83% | 82% |