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DTEF: Predict response distributions for Chile. 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 | 6th 73.3% | 8th 71.3% | 13th 69.0% | 9th 71.0% | 2nd 75.3% | 2nd 75.3% | 10th 70.3% | 11th 69.7% | 11th 69.7% | 4th 74.3% | 7th 72.7% | 5th 74.3% | 1st 76.7% | |
| 79.7% | 73% | 73% | 73% | 75% | 85% | 90% | 76% | 87% | 73% | 75% | 87% | 88% | 81% | |
| 64.5% | 68% | 71% | 71% | 67% | 70% | 65% | 59% | 55% | 57% | 68% | 51% | 67% | 69% | |
| 73.5% | 79% | 70% | 63% | 71% | 71% | 71% | 76% | 67% | 79% | 80% | 80% | 68% | 80% |