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DTEF: Predict response distributions for China. 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 | 3rd 74.0% | 9th 70.7% | 7th 72.0% | 11th 69.3% | 13th 64.0% | 4th 73.7% | 7th 72.0% | 1st 76.7% | 10th 70.3% | 12th 64.7% | 5th 73.3% | 6th 72.7% | 2nd 75.7% | |
| 80.0% | 76% | 73% | 73% | 77% | 82% | 83% | 82% | 84% | 77% | 81% | 84% | 83% | 85% | |
| 73.5% | 78% | 77% | 81% | 74% | 66% | 74% | 72% | 79% | 70% | 52% | 73% | 78% | 82% | |
| 60.8% | 68% | 62% | 62% | 57% | 44% | 64% | 62% | 67% | 64% | 61% | 63% | 57% | 60% |