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DTEF: Predict response distributions for Italy. 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 | 5th 75.3% | 11th 70.5% | 10th 70.8% | 7th 71.5% | 6th 71.8% | 9th 71.3% | 12th 70.3% | 7th 71.5% | 1st 80.5% | 13th 68.0% | 2nd 79.3% | 3rd 77.8% | 4th 76.8% | |
| 68.2% | 66% | 63% | 54% | 63% | 56% | 65% | 67% | 60% | 83% | 69% | 87% | 76% | 77% | |
| 82.5% | 88% | 77% | 83% | 71% | 91% | 81% | 75% | 78% | 91% | 73% | 90% | 87% | 88% | |
| 62.6% | 70% | 65% | 69% | 65% | 63% | 56% | 62% | 65% | 65% | 47% | 57% | 65% | 65% | |
| 80.5% | 77% | 77% | 77% | 87% | 77% | 83% | 77% | 83% | 83% | 83% | 83% | 83% | 77% |