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DTEF: Predict response distributions for Mexico. Source: Global Dialogues GD5 (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 | 4th 70.7% | 5th 68.7% | 1st 79.8% | 3rd 73.4% | 6th 66.9% | 2nd 74.7% | |
| 67.0% | 68% | 68% | 67% | 59% | 77% | 63% | |
| 72.7% | 76% | 63% | 94% | 84% | 50% | 69% | |
| 68.2% | 63% | 63% | 73% | 74% | 60% | 76% | |
| 74.8% | 83% | 82% | 76% | 87% | 40% | 81% | |
| 53.3% | 47% | 39% | 55% | 49% | 62% | 68% | |
| 75.5% | 67% | 69% | 83% | 80% | 83% | 71% | |
| 92.0% | 84% | 90% | 100% | 84% | 95% | 99% | |
| 64.2% | 66% | 61% | 81% | 70% | 43% | 64% | |
| 76.8% | 71% | 72% | 89% | 72% | 76% | 81% | |
| 79.2% | 82% | 80% | 80% | 75% | 83% | 75% |