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DTEF: Predict response distributions for Urban. 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 | 2nd 82.7% | 7th 79.0% | 4th 80.3% | 6th 79.7% | 3rd 81.3% | 13th 75.0% | 8th 78.3% | 10th 77.3% | 10th 77.3% | 5th 80.3% | 8th 78.3% | 12th 77.0% | 1st 84.0% | |
| 88.5% | 92% | 84% | 89% | 86% | 92% | 86% | 89% | 85% | 91% | 86% | 89% | 84% | 98% | |
| 70.8% | 75% | 75% | 77% | 77% | 77% | 59% | 67% | 66% | 63% | 73% | 63% | 72% | 77% | |
| 78.5% | 81% | 78% | 75% | 76% | 75% | 80% | 79% | 81% | 78% | 82% | 83% | 75% | 77% |