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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 | 18th 71.3% | 5th 76.5% | 14th 73.0% | 1st 80.8% | 17th 71.8% | 20th 65.5% | 9th 74.8% | 16th 72.0% | 19th 70.3% | 15th 72.5% | 7th 76.0% | 9th 74.8% | 11th 74.5% | 3rd 77.0% | 21st 51.5% | 12th 74.5% | 2nd 79.5% | 8th 75.8% | 6th 76.5% | 3rd 77.0% | 13th 74.3% | |
| 80.1% | 83% | 79% | 77% | 83% | 79% | 62% | 79% | 89% | 81% | 75% | 89% | 86% | 79% | 89% | 61% | 74% | 86% | 79% | 89% | 87% | 77% | |
| 77.2% | 77% | 81% | 81% | 81% | 71% | 74% | 83% | 64% | 71% | 76% | 73% | 80% | 77% | 73% | 72% | 86% | 86% | 82% | 80% | 78% | 76% | |
| 69.8% | 71% | 83% | 74% | 83% | 77% | 52% | 63% | 55% | 58% | 61% | 77% | 77% | 66% | 73% | 73% | 75% | 70% | 73% | 63% | 71% | 70% | |
| 66.1% | 54% | 63% | 60% | 76% | 60% | 74% | 74% | 80% | 71% | 78% | 65% | 56% | 76% | 73% | 0% | 63% | 76% | 69% | 74% | 72% | 74% |