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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 | 2nd 75.0% | 4th 71.5% | - - | 3rd 74.9% | 5th 63.1% | 1st 75.7% | |
| 72.8% | 72% | 69% | 72% | 74% | 77% | ||
| 70.8% | 78% | 78% | 77% | 52% | 69% | ||
| 48.0% | 48% | 39% | 53% | 36% | 64% | ||
| 71.8% | 79% | 83% | 83% | 42% | 72% | ||
| 68.0% | 71% | 59% | 73% | 64% | 73% | ||
| 85.2% | 86% | 92% | 85% | 78% | 85% | ||
| 88.6% | 81% | 82% | 90% | 90% | 100% | ||
| 67.0% | 72% | 72% | 68% | 55% | 68% | ||
| 72.6% | 76% | 63% | 73% | 78% | 73% | ||
| 75.6% | 87% | 78% | 75% | 62% | 76% |