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DTEF: Predict response distributions for India. 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 | 3rd 77.0% | 5th 76.0% | 4th 76.5% | 1st 79.8% | 13th 65.3% | 9th 70.0% | 12th 67.8% | 6th 73.5% | 8th 71.0% | 11th 68.3% | 10th 69.5% | 7th 73.0% | 2nd 77.5% | |
| 69.1% | 73% | 69% | 69% | 69% | 57% | 72% | 65% | 73% | 69% | 72% | 75% | 65% | 70% | |
| 84.5% | 85% | 84% | 86% | 94% | 82% | 82% | 80% | 85% | 87% | 83% | 82% | 84% | 85% | |
| 64.2% | 70% | 71% | 71% | 74% | 55% | 66% | 62% | 66% | 52% | 53% | 54% | 68% | 72% | |
| 73.0% | 80% | 80% | 80% | 82% | 67% | 60% | 64% | 70% | 76% | 65% | 67% | 75% | 83% |