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DTEF: Predict response distributions for Mexico. 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 | 1st 62.4% | 4th 56.7% | - - | 2nd 62.3% | 5th 53.7% | 3rd 60.9% | |
| 65.0% | 64% | 71% | 65% | 63% | 62% | ||
| 68.6% | 79% | 63% | 65% | 76% | 60% | ||
| 61.0% | 69% | 54% | 69% | 44% | 69% | ||
| 57.8% | 55% | 55% | 66% | 54% | 59% | ||
| 59.2% | 66% | 45% | 55% | 69% | 61% | ||
| 50.0% | 54% | 50% | 62% | 32% | 52% | ||
| 45.4% | 51% | 49% | 46% | 31% | 50% | ||
| 71.6% | 69% | 68% | 77% | 63% | 81% | ||
| 41.8% | 44% | 34% | 46% | 42% | 43% | ||
| 71.6% | 73% | 78% | 72% | 63% | 72% |