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DTEF: Predict response distributions for Russian Federation. 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 | 3rd 74.7% | 6th 50.5% | 4th 71.7% | 1st 76.1% | 5th 65.6% | 2nd 74.8% | |
| 70.7% | 65% | 70% | 58% | 80% | 74% | 77% | |
| 76.5% | 81% | 79% | 74% | 77% | 71% | 77% | |
| 54.7% | 52% | 57% | 61% | 55% | 38% | 65% | |
| 63.8% | 84% | 0% | 71% | 84% | 67% | 77% | |
| 64.3% | 74% | 63% | 47% | 70% | 64% | 68% | |
| 66.5% | 84% | 0% | 83% | 78% | 82% | 72% | |
| 80.8% | 77% | 74% | 76% | 94% | 82% | 82% | |
| 68.5% | 66% | 69% | 80% | 70% | 58% | 68% | |
| 54.2% | 69% | 0% | 71% | 72% | 38% | 75% | |
| 89.0% | 95% | 93% | 96% | 81% | 82% | 87% |