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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 | 3rd 72.0% | 4th 71.5% | 6th 66.8% | 1st 75.8% | 5th 67.0% | 2nd 74.3% | |
| 73.8% | 77% | 79% | 68% | 85% | 61% | 73% | |
| 71.0% | 73% | 61% | 77% | 80% | 64% | 71% | |
| 71.2% | 78% | 70% | 62% | 77% | 67% | 73% | |
| 68.8% | 60% | 76% | 60% | 61% | 76% | 80% |