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DTEF: Predict response distributions for Mexico. 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 70.0% | 8th 72.5% | 13th 68.3% | 4th 74.0% | 12th 69.0% | 5th 73.8% | 1st 75.0% | 3rd 74.3% | 9th 71.0% | 2nd 74.8% | 10th 70.8% | 7th 73.3% | 6th 73.5% | |
| 64.6% | 65% | 60% | 60% | 64% | 57% | 66% | 67% | 65% | 65% | 74% | 66% | 66% | 65% | |
| 71.2% | 69% | 67% | 67% | 80% | 71% | 75% | 78% | 72% | 73% | 67% | 69% | 67% | 71% | |
| 64.2% | 64% | 72% | 72% | 64% | 56% | 64% | 64% | 68% | 59% | 64% | 55% | 64% | 68% | |
| 89.2% | 82% | 91% | 74% | 88% | 92% | 90% | 91% | 92% | 87% | 94% | 93% | 96% | 90% |