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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 | 10th 69.7% | 3rd 75.0% | 4th 74.3% | 1st 76.3% | 9th 70.0% | 11th 67.3% | 7th 73.3% | 13th 60.0% | 5th 73.7% | 12th 67.0% | 8th 73.0% | 5th 73.7% | 2nd 76.0% | |
| 89.0% | 82% | 94% | 94% | 97% | 79% | 81% | 97% | 88% | 84% | 90% | 93% | 94% | 84% | |
| 69.3% | 72% | 80% | 80% | 72% | 61% | 65% | 72% | 49% | 72% | 63% | 64% | 72% | 79% | |
| 55.0% | 55% | 51% | 49% | 60% | 56% | 51% | 43% | 65% | 48% | 62% | 55% | 65% |