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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 | 10th 70.3% | 12th 68.8% | 9th 70.3% | 1st 76.3% | 13th 67.5% | 3rd 75.3% | 6th 71.5% | 5th 71.8% | 11th 69.8% | 2nd 75.5% | 8th 70.8% | 7th 71.3% | 3rd 75.3% | |
| 63.0% | 64% | 60% | 60% | 64% | 57% | 66% | 59% | 64% | 61% | 74% | 66% | 59% | 65% | |
| 71.7% | 69% | 69% | 75% | 77% | 65% | 75% | 72% | 71% | 75% | 70% | 69% | 67% | 78% | |
| 64.1% | 66% | 72% | 72% | 68% | 56% | 64% | 64% | 60% | 56% | 64% | 55% | 68% | 68% | |
| 88.6% | 82% | 74% | 74% | 96% | 92% | 96% | 91% | 92% | 87% | 94% | 93% | 91% | 90% |