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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 | 3rd 85.0% | 4th 84.5% | 2nd 85.8% | 6th 82.8% | 13th 70.5% | 7th 81.5% | 11th 75.5% | 5th 84.5% | 8th 81.0% | 12th 73.0% | 10th 79.0% | 9th 80.8% | 1st 86.0% | |
| 83.8% | 87% | 87% | 87% | 85% | 61% | 86% | 85% | 93% | 86% | 85% | 85% | 80% | 83% | |
| 82.2% | 84% | 85% | 85% | 83% | 82% | 82% | 71% | 87% | 83% | 78% | 81% | 84% | 84% | |
| 72.1% | 82% | 81% | 86% | 77% | 57% | 77% | 63% | 78% | 63% | 48% | 63% | 78% | 84% | |
| 84.8% | 87% | 85% | 85% | 86% | 82% | 81% | 83% | 80% | 92% | 81% | 87% | 81% | 93% |