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DTEF: Predict response distributions for Japan. 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 | 6th 72.3% | 11th 69.0% | 9th 71.0% | 2nd 76.3% | 13th 64.3% | 8th 72.0% | 6th 72.3% | 12th 68.7% | 2nd 76.3% | 10th 70.0% | 1st 79.0% | 5th 72.7% | 4th 75.7% | |
| 84.2% | 85% | 80% | 80% | 96% | 80% | 87% | 84% | 89% | 84% | 89% | 87% | 84% | 70% | |
| 75.8% | 72% | 78% | 79% | 78% | 69% | 71% | 76% | 68% | 78% | 64% | 83% | 78% | 91% | |
| 56.8% | 60% | 49% | 54% | 55% | 44% | 58% | 57% | 49% | 67% | 57% | 67% | 56% | 66% |