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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 3.7 Sonnet | Claude Haiku 4.5 | Claude Sonnet 4 | Claude Sonnet 4.5 | Gemini 2.5 Flash | Gemma 3 12b It | Llama 4 Maverick | Mistral Large 2411 | Mistral Medium 3 | GPT 4.1 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o | GPT 4o Mini | GPT 5 | GPT 5.1 | GPT OSS 120b | GPT OSS 20b | Qwen3 30b A3B Instruct 2507 | Qwen3 32b | Grok 4 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score | 5th 84.5% | 3rd 85.0% | 7th 84.3% | 2nd 85.8% | 10th 82.3% | 21st 69.8% | 8th 83.5% | 15th 79.3% | 17th 76.5% | 4th 84.7% | 9th 82.5% | 18th 74.5% | 16th 78.3% | 14th 79.8% | 1st 86.3% | 5th 84.5% | 12th 80.8% | 20th 70.8% | 10th 82.3% | 19th 74.3% | 13th 80.5% | |
| 85.2% | 88% | 87% | 87% | 87% | 79% | 61% | 86% | 91% | 85% | 94% | 87% | 73% | 93% | 86% | 92% | 88% | 85% | 86% | 84% | 80% | 90% | |
| 81.9% | 87% | 84% | 84% | 85% | 92% | 82% | 84% | 71% | 71% | 85% | 84% | 84% | 78% | 83% | 87% | 82% | 77% | 73% | 84% | 81% | 82% | |
| 71.6% | 81% | 82% | 81% | 86% | 73% | 54% | 77% | 69% | 63% | 80% | 67% | 60% | 63% | 65% | 79% | 84% | 77% | 48% | 77% | 68% | 69% | |
| 83.2% | 82% | 87% | 85% | 85% | 85% | 82% | 87% | 86% | 87% | 80% | 92% | 81% | 79% | 85% | 87% | 84% | 84% | 76% | 84% | 68% | 81% |