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DTEF: Predict response distributions for Non-binary. 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 | 4th 76.8% | 9th 73.0% | 1st 80.0% | 10th 70.8% | 13th 65.5% | 7th 74.8% | 12th 68.8% | 11th 70.5% | 5th 75.0% | 2nd 78.5% | 5th 75.0% | 7th 74.8% | 3rd 77.5% | |
| 80.5% | 79% | 77% | 80% | 79% | 62% | 79% | 81% | 75% | 89% | 86% | 81% | 89% | 89% | |
| 75.7% | 82% | 81% | 81% | 71% | 74% | 83% | 71% | 69% | 73% | 80% | 73% | 73% | 73% | |
| 70.6% | 83% | 74% | 83% | 73% | 52% | 63% | 58% | 63% | 73% | 77% | 73% | 63% | 83% | |
| 68.8% | 63% | 60% | 76% | 60% | 74% | 74% | 65% | 75% | 65% | 71% | 73% | 74% | 65% |