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DTEF: Predict response distributions for Germany. 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 | Claude Sonnet 4 | Claude Sonnet 4.5 | Gemini 2.5 Flash | Gemma 3 12b It | Llama 4 Maverick | Mistral Medium 3 | GPT 4.1 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o Mini | Qwen3 30b A3B Instruct 2507 | Qwen3 Next 80b A3B Instruct | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score | 4th 75.5% | 11th 71.5% | 8th 72.5% | 5th 75.5% | 7th 73.3% | 9th 72.0% | 10th 71.5% | 12th 67.5% | 2nd 76.3% | 6th 74.0% | 2nd 76.3% | 13th 52.5% | 1st 81.8% | |
| 74.2% | 75% | 71% | 67% | 75% | 68% | 74% | 77% | 66% | 80% | 80% | 83% | 69% | 80% | |
| 67.4% | 68% | 61% | 63% | 75% | 67% | 69% | 61% | 61% | 68% | 68% | 71% | 68% | 76% | |
| 74.5% | 82% | 82% | 88% | 82% | 83% | 77% | 75% | 73% | 79% | 78% | 76% | 0% | 93% | |
| 73.2% | 77% | 72% | 72% | 70% | 75% | 68% | 73% | 70% | 78% | 70% | 75% | 73% | 78% |