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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 3.7 Sonnet | Claude Haiku 4.5 | Claude Sonnet 4 | Claude Sonnet 4.5 | Gemini 2.5 Flash | Gemma 3 12b It | Llama 4 Maverick | Mistral Large 2411 | Mistral Medium 3 | GPT 4.1 | GPT 4.1 Mini | GPT 4.1 Nano | GPT 4o | GPT 4o Mini | GPT 5 | GPT 5.1 | GPT OSS 120b | GPT OSS 20b | Qwen3 30b A3B Instruct 2507 | Qwen3 32b | Grok 4 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Score | 12th 70.5% | 9th 71.0% | 13th 70.3% | 10th 71.0% | 5th 73.8% | 20th 64.8% | 3rd 75.0% | 21st 62.5% | 16th 69.2% | 17th 68.8% | 1st 78.5% | 19th 65.0% | 7th 72.0% | 4th 74.5% | 13th 70.3% | 15th 69.5% | 2nd 76.3% | 8th 71.8% | 6th 72.5% | 11th 70.8% | 18th 66.0% | |
| 77.2% | 73% | 77% | 73% | 81% | 79% | 68% | 73% | 69% | 73% | 72% | 88% | 61% | 79% | 77% | 74% | 76% | 90% | 90% | 79% | 89% | 81% | |
| 70.6% | 71% | 73% | 65% | 65% | 66% | 69% | 77% | 52% | 61% | 71% | 81% | 64% | 71% | 71% | 69% | 73% | 82% | 80% | 73% | 71% | 78% | |
| 67.8% | 73% | 74% | 78% | 73% | 70% | 62% | 70% | 55% | 63% | 67% | 77% | 67% | 67% | 73% | 65% | 73% | 60% | 61% | 73% | 62% | 61% | |
| 67.0% | 65% | 60% | 65% | 65% | 80% | 60% | 80% | 74% | 80% | 65% | 68% | 68% | 71% | 77% | 73% | 56% | 73% | 56% | 65% | 61% | 44% |