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DTEF: Predict response distributions for Philippines. 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 79.0% | 8th 74.5% | 6th 77.0% | 2nd 78.8% | 11th 72.5% | 2nd 78.8% | 4th 77.5% | 5th 77.3% | 7th 74.8% | 13th 64.3% | 12th 70.8% | 10th 74.0% | 9th 74.3% | |
| 54.1% | 57% | 51% | 55% | 54% | 48% | 62% | 61% | 61% | 53% | 46% | 53% | 55% | 47% | |
| 80.0% | 84% | 78% | 84% | 99% | 81% | 85% | 71% | 85% | 84% | 52% | 78% | 74% | 85% | |
| 82.2% | 90% | 86% | 86% | 85% | 76% | 83% | 83% | 81% | 77% | 76% | 75% | 89% | 81% | |
| 83.2% | 85% | 83% | 83% | 77% | 85% | 85% | 95% | 82% | 85% | 83% | 77% | 78% | 84% |