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DTEF: Predict response distributions for Chile. 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 | 11th 78.5% | 1st 83.0% | 12th 77.5% | 3rd 82.3% | 9th 79.8% | 7th 81.3% | 6th 81.5% | 10th 79.0% | 13th 76.8% | 5th 82.0% | 4th 82.0% | 7th 81.3% | 2nd 82.5% | |
| 78.3% | 76% | 76% | 70% | 81% | 73% | 75% | 82% | 69% | 81% | 86% | 87% | 79% | 83% | |
| 80.0% | 78% | 84% | 83% | 78% | 76% | 81% | 70% | 84% | 85% | 83% | 79% | 79% | 80% | |
| 72.9% | 77% | 77% | 76% | 72% | 78% | 74% | 76% | 67% | 58% | 74% | 65% | 75% | 79% | |
| 91.0% | 83% | 95% | 81% | 98% | 92% | 95% | 98% | 96% | 83% | 85% | 97% | 92% | 88% |