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DTEF: Predict response distributions for China. 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 90.0% | 7th 88.8% | 1st 93.3% | 8th 88.0% | 13th 80.8% | 10th 85.8% | 11th 83.5% | 3rd 91.3% | 2nd 92.3% | 12th 81.0% | 9th 86.8% | 6th 89.5% | 4th 91.3% | |
| 85.9% | 90% | 87% | 94% | 94% | 63% | 81% | 79% | 89% | 96% | 71% | 95% | 88% | 90% | |
| 88.0% | 90% | 91% | 91% | 88% | 86% | 87% | 77% | 91% | 93% | 88% | 83% | 89% | 90% | |
| 86.3% | 89% | 89% | 91% | 84% | 86% | 85% | 83% | 88% | 86% | 79% | 82% | 91% | 89% | |
| 91.2% | 91% | 88% | 97% | 86% | 88% | 90% | 95% | 97% | 94% | 86% | 87% | 90% | 96% |