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DTEF: Predict response distributions for Italy. Source: Global Dialogues GD2 (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 70.3% | 9th 68.3% | 4th 71.3% | 2nd 73.0% | 13th 63.3% | 7th 69.3% | 10th 67.3% | 11th 67.0% | 8th 69.0% | 12th 66.0% | 6th 70.0% | 2nd 73.0% | 1st 73.3% | |
| 63.9% | 58% | 59% | 68% | 68% | 54% | 74% | 62% | 61% | 59% | 68% | 66% | 68% | 66% | |
| 56.4% | 62% | 62% | 62% | 59% | 59% | 50% | 49% | 54% | 56% | 47% | 52% | 59% | 62% | |
| 87.7% | 91% | 84% | 84% | 92% | 77% | 84% | 91% | 86% | 92% | 83% | 92% | 92% | 92% |