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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 | 2nd 84.3% | 8th 80.3% | 5th 81.7% | 13th 71.3% | 9th 80.0% | 3rd 84.0% | 1st 86.7% | 9th 80.0% | 4th 83.0% | 11th 78.3% | 7th 81.7% | 5th 81.7% | 12th 77.0% | |
| 91.2% | 93% | 92% | 93% | 74% | 87% | 97% | 96% | 93% | 96% | 85% | 95% | 93% | ||
| 71.4% | 77% | 72% | 75% | 60% | 77% | 71% | 72% | 68% | 72% | 69% | 66% | 72% | 77% | |
| 81.2% | 83% | 77% | 77% | 80% | 76% | 84% | 92% | 79% | 81% | 81% | 84% | 80% |