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Analysis: Gd7 C10 Dtef Global Dialogues Gd7 AiConcern%3Aequally Concerned And Excited C10 - Run 2551664...

Global Dialogues GD7 - Equally concerned and excited (10 context Qs)

DTEF: Predict response distributions for Equally concerned and excited. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Factual Accuracy & Hallucination

General Knowledge

Efficiency & Succinctness

AI Safety & Robustness

Social interaction

Problem solving

Best Models (Coverage)

1.Claude Sonnet 4.5
84.2%
2.Claude Sonnet 4
82.6%
3.Claude Haiku 4.5
80.8%
4.Mistral Medium 3
80.3%
5.GPT 4.1 Mini
80.2%

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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Not Met

	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	3rd 80.8%	2nd 82.6%	1st 84.2%	7th 80.0%	11th 76.4%	9th 79.5%	4th 80.3%	8th 79.5%	5th 80.2%	13th 70.9%	12th 74.1%	10th 78.7%	6th 80.1%
65.5%	79%	62%	62%	59%	80%	59%	62%	44%	65%	91%	65%	62%	62%
84.2%	78%	93%	96%	88%	68%	92%	91%	94%	81%	65%	64%	90%	95%
87.4%	87%	92%	94%	73%	95%	92%	87%	99%	84%	72%	85%	96%	80%
79.5%	79%	94%	85%	79%	73%	80%	86%	81%	74%	80%	87%	67%	69%
73.5%	89%	86%	81%	51%	61%	67%	58%	61%	64%	75%	81%	96%	86%
54.0%	54%	54%	54%	54%	54%	54%	54%	54%	54%	54%	54%	54%	54%
83.2%	70%	92%	96%	78%	83%	88%	88%	91%	82%	88%	53%	82%	90%
73.7%	73%	96%	96%	96%	56%	63%	96%	15%	41%	96%	41%	96%	93%
75.0%	70%	75%	75%	76%	71%	74%	89%	72%	79%	69%	83%	72%	70%
78.0%	86%	85%	92%	79%	89%	87%	80%	85%	85%	28%	62%	78%	78%
82.5%	83%	86%	81%	94%	68%	84%	87%	87%	86%	84%	75%	80%	78%
83.8%	84%	90%	91%	76%	80%	76%	85%	86%	91%	87%	75%	78%	91%
68.5%	70%	70%	74%	86%	59%	66%	59%	74%	74%	55%	63%	66%	74%
82.0%	86%	90%	93%	94%	93%	86%	86%	92%	93%	6%	81%	79%	87%
86.2%	85%	89%	89%	87%	91%	87%	85%	85%	87%	82%	83%	85%	86%
84.9%	79%	92%	92%	84%	79%	86%	93%	95%	95%	67%	67%	87%	88%
76.7%	80%	83%	85%	73%	61%	86%	77%	87%	73%	71%	72%	76%	73%
85.2%	91%	84%	85%	68%	87%	90%	88%	76%	92%	73%	91%	92%	91%
83.0%	91%	86%	92%	87%	71%	78%	77%	72%	83%	87%	82%	87%	86%
83.5%	89%	88%	90%	80%	81%	88%	86%	86%	85%	84%	80%	73%	76%
84.8%	83%	78%	78%	79%	95%	84%	85%	89%	93%	77%	83%	85%	94%
82.2%	88%	90%	93%	92%	93%	80%	91%	97%	90%	21%	68%	79%	86%
65.9%	68%	60%	70%	56%	66%	59%	58%	59%	55%	78%	77%	73%	78%
83.8%	82%	93%	89%	71%	89%	83%	88%	90%	82%	83%	79%	81%	80%
77.9%	82%	87%	80%	82%	81%	81%	83%	83%	89%	6%	84%	83%	92%
83.0%	82%	82%	91%	79%	80%	73%	77%	83%	92%	74%	84%	89%	93%
88.4%	87%	88%	87%	88%	80%	86%	90%	97%	97%	97%	85%	77%	90%
77.6%	90%	74%	82%	92%	69%	81%	86%	74%	88%	49%	82%	71%	71%
81.6%	93%	71%	90%	87%	69%	92%	81%	84%	88%	81%	82%	68%	75%
89.6%	84%	91%	94%	90%	93%	83%	85%	94%	90%	91%	90%	90%	90%
58.8%	48%	61%	59%	79%	44%	55%	68%	73%	65%	52%	54%	46%	60%
85.9%	91%	89%	91%	95%	88%	83%	92%	87%	77%	85%	80%	85%	74%
80.4%	89%	83%	92%	91%	79%	90%	83%	85%	91%	40%	59%	82%	81%
71.8%	73%	75%	78%	73%	71%	63%	70%	76%	72%	73%	57%	76%	77%
72.2%	73%	68%	79%	93%	79%	57%	88%	78%	79%	54%	65%	64%	62%
81.6%	87%	84%	91%	95%	74%	91%	74%	94%	73%	73%	74%	75%	76%
81.7%	82%	90%	95%	82%	81%	79%	81%	82%	81%	80%	62%	80%	87%
83.5%	83%	68%	81%	92%	82%	89%	79%	79%	89%	77%	86%	90%	90%
81.9%	73%	87%	75%	79%	74%	82%	85%	86%	91%	85%	84%	87%	77%
88.8%	88%	86%	89%	85%	92%	86%	93%	87%	94%	91%	91%	83%	89%
76.9%	76%	87%	87%	77%	70%	74%	82%	82%	76%	73%	73%	72%	71%
78.0%	79%	84%	88%	78%	70%	76%	75%	81%	77%	78%	69%	82%	77%
77.8%	80%	86%	94%	59%	76%	73%	82%	77%	82%	74%	61%	84%	83%
84.3%	95%	91%	94%	83%	70%	91%	86%	74%	79%	81%	81%	87%	84%
44.5%	41%	44%	39%	39%	51%	72%	33%	53%	37%	51%	41%	41%	36%
87.5%	75%	93%	88%	90%	80%	90%	92%	92%	92%	90%	82%	92%	82%
68.2%	89%	83%	84%	81%	57%	75%	60%	60%	54%	73%	55%	57%	58%
74.3%	84%	76%	82%	83%	61%	70%	73%	70%	72%	73%	70%	83%	69%
87.5%	88%	83%	88%	91%	95%	88%	89%	82%	93%	77%	96%	78%	89%
75.8%	68%	77%	76%	89%	80%	82%	71%	74%	67%	63%	76%	79%	83%
84.3%	97%	94%	94%	82%	85%	72%	87%	91%	90%	65%	70%	80%	89%
86.9%	91%	91%	92%	84%	88%	81%	86%	83%	91%	91%	86%	87%	79%
87.5%	81%	89%	89%	79%	90%	96%	88%	87%	86%	83%	83%	88%	98%
81.5%	91%	91%	67%	64%	76%	91%	79%	73%	90%	74%	89%	78%	96%