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DTEF: Predict response distributions for Australia. Source: Global Dialogues GD4 (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 67.1% | 4th 64.0% | 2nd 66.1% | 6th 60.9% | 3rd 65.2% | 5th 63.0% | |
| 74.2% | 75% | 76% | 78% | 65% | 74% | 77% | |
| 88.3% | 95% | 91% | 91% | 78% | 94% | 81% | |
| 57.8% | 57% | 64% | 63% | 49% | 52% | 62% | |
| 50.5% | 55% | 46% | 47% | 48% | 60% | 47% | |
| 59.8% | 63% | 60% | 56% | 65% | 55% | ||
| 61.3% | 59% | 65% | 74% | 65% | 40% | 65% | |
| 36.0% | 41% | 9% | 34% | 25% | 71% | 36% | |
| 70.2% | 72% | 73% | 69% | 72% | 65% | 70% | |
| 74.5% | 80% | 76% | 81% | 77% | 60% | 73% | |
| 70.5% | 74% | 76% | 64% | 74% | 71% | 64% |