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DTEF: Predict response distributions for Chile. 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 3.7 Sonnet | Claude 3.5 Haiku | Claude Haiku 4.5 | Claude Sonnet 4 | Gemini 2.5 Flash | Gemma 3 12b It | Llama 3 70b Instruct | Llama 4 Maverick | Mistral Large 2411 | Mistral Medium 3 | Mistral Nemo | GPT 4.1 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o | GPT 4o Mini | GPT OSS 120b | GPT OSS 20b | GLM 4.5 | Qwen3 30b A3B Instruct 2507 | Qwen3 32b | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score | 16th 78.8% | 1st 85.8% | 10th 80.3% | 18th 77.0% | 8th 81.7% | 19th 76.3% | 7th 81.8% | 4th 82.3% | 16th 78.8% | 20th 76.0% | 6th 82.0% | 15th 79.5% | 3rd 83.8% | 14th 79.8% | 9th 80.5% | 4th 82.3% | 10th 80.3% | 13th 80.0% | 21st 44.0% | 2nd 84.7% | 10th 80.3% | |
| 82.2% | 82% | 91% | 78% | 76% | 76% | 67% | 87% | 75% | 84% | 77% | 83% | 80% | 90% | 76% | 87% | 94% | 84% | 87% | 84% | 84% | 84% | |
| 81.5% | 77% | 89% | 85% | 77% | 79% | 89% | 78% | 93% | 72% | 70% | 82% | 79% | 85% | 82% | 85% | 74% | 82% | 89% | 82% | 84% | 79% | |
| 71.3% | 74% | 81% | 84% | 82% | 75% | 72% | 79% | 75% | 69% | 70% | 83% | 76% | 75% | 72% | 69% | 70% | 70% | 68% | 0% | 79% | 75% | |
| 80.3% | 82% | 82% | 74% | 73% | 97% | 77% | 83% | 86% | 90% | 87% | 80% | 83% | 85% | 89% | 81% | 91% | 85% | 76% | 10% | 92% | 83% |