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DTEF: Predict response distributions for Suburban. 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 | 1st 88.0% | 10th 81.0% | 10th 81.0% | 12th 80.5% | 13th 79.3% | 5th 84.5% | 8th 82.5% | 3rd 86.0% | 4th 85.2% | 7th 83.5% | 9th 81.5% | 2nd 87.5% | 6th 83.7% | |
| 76.2% | 78% | 65% | 65% | 75% | 72% | 73% | 78% | 82% | 80% | 82% | 86% | 82% | 73% | |
| 84.4% | 90% | 78% | 82% | 72% | 81% | 91% | 82% | 88% | 87% | 86% | 83% | 87% | 90% | |
| 78.1% | 85% | 86% | 82% | 83% | 74% | 76% | 76% | 80% | 76% | 69% | 69% | 83% | 76% | |
| 94.9% | 99% | 95% | 95% | 92% | 90% | 98% | 94% | 94% | 98% | 97% | 88% | 98% | 96% |