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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 72.7% | 12th 69.0% | 11th 69.3% | 9th 70.3% | 13th 68.0% | 6th 72.7% | 8th 71.7% | 5th 73.3% | 9th 70.3% | 3rd 76.3% | 2nd 79.0% | 1st 81.3% | 4th 75.7% | |
| 84.4% | 85% | 80% | 80% | 96% | 80% | 89% | 84% | 89% | 70% | 94% | 87% | 93% | 70% | |
| 78.2% | 73% | 78% | 79% | 72% | 76% | 71% | 74% | 72% | 78% | 78% | 83% | 91% | 91% | |
| 56.6% | 60% | 49% | 49% | 43% | 48% | 58% | 57% | 59% | 63% | 57% | 67% | 60% | 66% |