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DTEF: Predict response distributions for Australia. 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 70.1% | 2nd 66.3% | 6th 61.9% | 3rd 66.1% | 5th 63.5% | 4th 65.5% | |
| 70.0% | 72% | 76% | 74% | 74% | 62% | 62% | |
| 75.2% | 88% | 75% | 62% | 70% | 88% | 68% | |
| 81.3% | 86% | 78% | 84% | 80% | 80% | 80% | |
| 61.7% | 59% | 67% | 60% | 62% | 61% | 61% | |
| 56.3% | 74% | 43% | 43% | 56% | 66% | 56% | |
| 49.0% | 51% | 49% | 53% | 51% | 35% | 55% | |
| 57.7% | 64% | 52% | 48% | 61% | 60% | 61% | |
| 71.2% | 70% | 77% | 64% | 77% | 63% | 76% | |
| 65.0% | 70% | 66% | 63% | 66% | 59% | 66% | |
| 68.3% | 67% | 80% | 68% | 64% | 61% | 70% |