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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 | 6th 79.7% | 2nd 82.3% | 3rd 82.0% | 11th 76.3% | 13th 74.0% | 10th 78.0% | 4th 81.7% | 1st 83.0% | 8th 79.0% | 11th 76.3% | 9th 78.3% | 5th 80.7% | 7th 79.3% | |
| 86.5% | 83% | 87% | 87% | 82% | 83% | 91% | 91% | 94% | 87% | 84% | 87% | 86% | 83% | |
| 61.5% | 64% | 72% | 63% | 59% | 59% | 50% | 58% | 59% | 63% | 62% | 57% | 64% | 70% | |
| 89.8% | 92% | 88% | 96% | 88% | 80% | 93% | 96% | 96% | 87% | 83% | 91% | 92% | 85% |