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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% | 8th 71.0% | 16th 68.0% | 10th 71.0% | 6th 72.8% | 18th 65.8% | 5th 74.3% | 20th 61.3% | 17th 67.8% | 21st 61.2% | 2nd 76.8% | 19th 65.0% | 7th 72.0% | 4th 74.8% | 13th 70.0% | 11th 70.7% | 8th 71.0% | 14th 69.5% | 3rd 76.8% | 1st 77.8% | 15th 68.5% | |
| 75.6% | 73% | 77% | 73% | 81% | 79% | 68% | 73% | 69% | 73% | 62% | 81% | 61% | 79% | 81% | 76% | 70% | 79% | 90% | 89% | 89% | 64% | |
| 70.4% | 71% | 73% | 65% | 65% | 66% | 73% | 77% | 50% | 61% | 61% | 81% | 64% | 71% | 68% | 70% | 77% | 76% | 61% | 80% | 90% | 78% | |
| 67.1% | 73% | 74% | 78% | 73% | 70% | 62% | 67% | 52% | 61% | 57% | 77% | 67% | 67% | 70% | 73% | 71% | 61% | 62% | 73% | 61% | 61% | |
| 68.1% | 65% | 60% | 56% | 65% | 76% | 60% | 80% | 74% | 76% | 65% | 68% | 68% | 71% | 80% | 61% | 65% | 68% | 65% | 65% | 71% | 71% |