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DTEF: Predict response distributions for Spain. 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 | 2nd 69.8% | 4th 67.9% | 5th 67.6% | 1st 70.8% | 6th 64.1% | 3rd 69.0% | |
| 45.5% | 41% | 49% | 33% | 50% | 50% | 50% | |
| 70.5% | 78% | 72% | 61% | 67% | 79% | 66% | |
| 84.2% | 83% | 88% | 80% | 89% | 81% | 84% | |
| 80.2% | 78% | 78% | 75% | 83% | 84% | 83% | |
| 78.7% | 83% | 64% | 67% | 81% | 85% | 92% | |
| 58.5% | 61% | 59% | 72% | 66% | 37% | 56% | |
| 41.7% | 42% | 43% | 44% | 45% | 33% | 43% | |
| 75.2% | 75% | 77% | 78% | 77% | 67% | 77% | |
| 62.7% | 71% | 58% | 80% | 64% | 42% | 61% | |
| 85.0% | 86% | 91% | 86% | 86% | 83% | 78% |