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DTEF: Predict response distributions for Suburban. 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 | 4th 80.3% | 12th 76.7% | 5th 80.0% | 11th 77.7% | 1st 84.0% | 8th 78.3% | 3rd 82.0% | 10th 78.0% | 6th 79.3% | 8th 78.3% | 13th 76.0% | 7th 78.7% | 2nd 83.0% | |
| 88.5% | 91% | 82% | 88% | 85% | 91% | 85% | 92% | 84% | 92% | 86% | 88% | 88% | 98% | |
| 70.5% | 70% | 71% | 76% | 73% | 82% | 68% | 71% | 70% | 66% | 68% | 59% | 70% | 73% | |
| 79.2% | 80% | 77% | 76% | 75% | 79% | 82% | 83% | 80% | 80% | 81% | 81% | 78% | 78% |