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DTEF: Predict response distributions for Non-binary. Source: Global Dialogues GD1 (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 76.5% | 5th 73.0% | 6th 65.5% | 3rd 76.0% | 4th 73.8% | 1st 77.0% | |
| 80.7% | 79% | 79% | 62% | 89% | 86% | 89% | |
| 74.8% | 81% | 71% | 74% | 73% | 77% | 73% | |
| 73.0% | 83% | 77% | 52% | 77% | 76% | 73% | |
| 66.0% | 63% | 65% | 74% | 65% | 56% | 73% |