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DTEF: Predict response distributions for Germany. 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 76.3% | 1st 83.5% | 10th 80.3% | 15th 77.3% | 19th 74.3% | 17th 75.8% | 6th 82.0% | 20th 73.8% | 21st 72.5% | 14th 77.5% | 2nd 83.0% | 12th 79.3% | 4th 82.8% | 18th 75.3% | 11th 80.0% | 8th 81.0% | 13th 79.0% | 9th 80.8% | 7th 81.3% | 3rd 82.8% | 5th 82.5% | |
| 79.7% | 74% | 91% | 75% | 71% | 78% | 61% | 80% | 78% | 81% | 74% | 89% | 73% | 86% | 75% | 85% | 89% | 83% | 75% | 87% | 86% | 83% | |
| 73.1% | 62% | 76% | 78% | 63% | 66% | 79% | 76% | 74% | 64% | 64% | 77% | 69% | 78% | 72% | 76% | 75% | 84% | 78% | 72% | 76% | 77% | |
| 86.6% | 91% | 83% | 91% | 91% | 83% | 86% | 92% | 72% | 77% | 97% | 89% | 97% | 83% | 83% | 82% | 86% | 71% | 93% | 88% | 91% | 93% | |
| 76.8% | 78% | 84% | 77% | 84% | 70% | 77% | 80% | 71% | 68% | 75% | 77% | 78% | 84% | 71% | 77% | 74% | 78% | 77% | 78% | 78% | 77% |