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DTEF: Predict response distributions for Morocco. 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 | 11th 81.0% | 3rd 83.7% | 2nd 84.3% | 15th 78.3% | 20th 72.5% | 17th 74.3% | 6th 82.3% | 18th 72.8% | 19th 72.5% | 16th 75.0% | 4th 83.0% | 10th 81.5% | 8th 82.0% | 21st 67.3% | 12th 80.3% | 5th 82.8% | 14th 79.5% | 13th 79.8% | 9th 81.7% | 6th 82.3% | 1st 85.2% | |
| 74.8% | 76% | 89% | 78% | 62% | 71% | 52% | 75% | 65% | 74% | 68% | 85% | 75% | 86% | 49% | 80% | 92% | 86% | 77% | 80% | 77% | ||
| 80.1% | 84% | 82% | 82% | 84% | 82% | 77% | 83% | 82% | 72% | 67% | 73% | 81% | 84% | 84% | 82% | 77% | 76% | 83% | 81% | 82% | 84% | |
| 86.0% | 89% | 92% | 97% | 89% | 87% | 91% | 90% | 67% | 78% | 88% | 93% | 91% | 80% | 67% | 81% | 93% | 78% | 78% | 86% | 97% | 94% | |
| 75.2% | 75% | 72% | 80% | 78% | 50% | 77% | 81% | 77% | 66% | 77% | 81% | 79% | 78% | 69% | 78% | 69% | 78% | 81% | 78% | 70% | 86% |