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DTEF: Predict response distributions for Australia. 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 | 8th 79.7% | 1st 84.7% | 2nd 84.3% | 10th 79.5% | 11th 76.8% | 4th 83.5% | 12th 76.3% | 7th 80.8% | 13th 75.3% | 9th 79.5% | 5th 81.8% | 6th 81.0% | 3rd 84.0% | |
| 74.8% | 75% | 74% | 74% | 82% | 71% | 76% | 72% | 74% | 75% | 75% | 75% | 75% | 75% | |
| 86.8% | 84% | 100% | 89% | 89% | 81% | 90% | 82% | 81% | 90% | 81% | 90% | 81% | 90% | |
| 79.2% | 84% | 91% | 100% | 75% | 80% | 75% | 73% | 75% | 58% | 75% | 75% | 75% | 93% | |
| 81.4% | 76% | 74% | 74% | 72% | 75% | 93% | 78% | 93% | 78% | 87% | 87% | 93% | 78% |