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DTEF: Predict response distributions for Mexico. 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 80.0% | 1st 82.0% | 1st 82.0% | 9th 77.0% | 13th 67.7% | 12th 72.7% | 8th 77.3% | 3rd 80.7% | 11th 74.7% | 7th 77.7% | 6th 79.3% | 10th 76.7% | 4th 80.3% | |
| 84.2% | 86% | 84% | 84% | 78% | 78% | 79% | 88% | 85% | 84% | 82% | 94% | 81% | 91% | |
| 60.9% | 62% | 72% | 72% | 64% | 45% | 55% | 61% | 67% | 53% | 60% | 53% | 63% | 65% | |
| 87.5% | 92% | 90% | 90% | 89% | 80% | 84% | 83% | 90% | 87% | 91% | 91% | 86% | 85% |