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DTEF: Predict response distributions for Hinduism. Source: Global Dialogues GD7 (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 85.8% | 2nd 84.9% | 6th 76.0% | 3rd 82.5% | 4th 82.4% | 5th 81.2% | |
| 87.8% | 93% | 85% | 86% | 90% | 83% | 90% | |
| 78.0% | 80% | 87% | 63% | 79% | 82% | 77% | |
| 88.7% | 98% | 87% | 67% | 86% | 98% | 96% | |
| 87.8% | 94% | 86% | 88% | 89% | 82% | 88% | |
| 77.5% | 83% | 83% | 68% | 76% | 83% | 72% | |
| 77.3% | 86% | 86% | 59% | 85% | 83% | 65% | |
| 79.5% | 84% | 83% | 79% | 81% | 77% | 73% | |
| 75.0% | 72% | 79% | 74% | 80% | 68% | 77% | |
| 85.3% | 80% | 89% | 92% | 81% | 82% | 88% | |
| 84.3% | 88% | 84% | 84% | 78% | 86% | 86% |