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DTEF: Predict response distributions for Urban. 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 86.9% | 1st 88.6% | 5th 82.7% | 3rd 86.0% | 6th 81.1% | 4th 85.8% | |
| 87.3% | 84% | 97% | 84% | 84% | 88% | 87% | |
| 85.7% | 96% | 94% | 70% | 84% | 95% | 75% | |
| 89.7% | 92% | 93% | 89% | 92% | 82% | 90% | |
| 79.3% | 73% | 72% | 84% | 89% | 69% | 89% | |
| 81.0% | 90% | 76% | 66% | 85% | 89% | 80% | |
| 89.0% | 95% | 94% | 93% | 87% | 77% | 88% | |
| 84.3% | 87% | 88% | 86% | 83% | 72% | 90% | |
| 82.8% | 83% | 88% | 82% | 83% | 76% | 85% | |
| 88.0% | 91% | 92% | 77% | 91% | 84% | 93% | |
| 84.7% | 78% | 92% | 96% | 82% | 79% | 81% |