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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 | 6th 72.0% | 9th 70.3% | 8th 70.5% | 7th 70.8% | 13th 65.8% | 4th 74.0% | 12th 66.5% | 9th 70.3% | 1st 78.5% | 11th 66.8% | 3rd 76.3% | 5th 73.0% | 2nd 77.5% | |
| 76.2% | 77% | 73% | 79% | 76% | 68% | 72% | 73% | 72% | 88% | 64% | 81% | 79% | 89% | |
| 70.5% | 73% | 65% | 65% | 61% | 73% | 77% | 61% | 71% | 81% | 68% | 71% | 73% | 77% | |
| 70.8% | 78% | 78% | 73% | 70% | 62% | 67% | 61% | 67% | 77% | 67% | 73% | 75% | 73% | |
| 69.2% | 60% | 65% | 65% | 76% | 60% | 80% | 71% | 71% | 68% | 68% | 80% | 65% | 71% |