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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 | 4th 72.9% | 5th 70.8% | 2nd 73.7% | 3rd 73.1% | 6th 70.0% | 1st 74.2% | |
| 75.2% | 78% | 80% | 73% | 74% | 77% | 69% | |
| 75.7% | 78% | 80% | 75% | 79% | 65% | 77% | |
| 49.7% | 42% | 45% | 58% | 55% | 42% | 56% | |
| 78.0% | 79% | 91% | 77% | 82% | 62% | 77% | |
| 67.3% | 71% | 55% | 63% | 71% | 73% | 71% | |
| 83.2% | 82% | 84% | 82% | 78% | 88% | 85% | |
| 78.5% | 72% | 74% | 69% | 74% | 100% | 82% | |
| 64.7% | 68% | 57% | 68% | 68% | 59% | 68% | |
| 65.8% | 69% | 54% | 87% | 63% | 46% | 76% | |
| 86.5% | 90% | 88% | 85% | 87% | 88% | 81% |