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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 | 5th 82.0% | 11th 77.0% | 9th 79.5% | 8th 79.8% | 13th 75.5% | 7th 80.0% | 11th 77.0% | 6th 80.3% | 2nd 84.3% | 10th 78.8% | 4th 82.5% | 2nd 84.3% | 1st 85.3% | |
| 79.4% | 78% | 76% | 76% | 72% | 67% | 75% | 81% | 79% | 90% | 76% | 92% | 82% | 88% | |
| 81.2% | 85% | 77% | 84% | 73% | 86% | 90% | 71% | 81% | 85% | 80% | 72% | 84% | 88% | |
| 74.5% | 83% | 82% | 77% | 79% | 72% | 69% | 69% | 75% | 75% | 62% | 69% | 79% | 77% | |
| 86.8% | 82% | 73% | 81% | 95% | 77% | 86% | 87% | 86% | 87% | 97% | 97% | 92% | 88% |