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DTEF: Predict response distributions for Japan. 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 78.0% | 6th 74.8% | 9th 72.5% | 10th 71.0% | 12th 68.3% | 5th 77.8% | 11th 68.8% | 7th 74.3% | 1st 79.0% | 13th 66.8% | 3rd 78.0% | 2nd 78.3% | 8th 73.0% | |
| 71.0% | 75% | 66% | 62% | 69% | 60% | 74% | 75% | 70% | 79% | 69% | 80% | 79% | 65% | |
| 75.2% | 77% | 78% | 78% | 73% | 70% | 82% | 66% | 70% | 80% | 63% | 80% | 80% | 80% | |
| 60.9% | 66% | 68% | 56% | 64% | 53% | 63% | 56% | 60% | 63% | 41% | 56% | 76% | 70% | |
| 88.4% | 94% | 87% | 94% | 78% | 90% | 92% | 78% | 97% | 94% | 94% | 96% | 78% | 77% |