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Analysis: Gd4 Dtef Global Dialogues Gd4 AiConcern%3Aequally Concerned And Excited - Run d492b67...

Global Dialogues GD4 - Equally concerned and excited

DTEF: Predict response distributions for Equally concerned and excited. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

AI Safety & Robustness

Social interaction

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4.5
83.1%
2.GPT 4.1
82.6%
3.Claude Sonnet 4
82.4%
4.Llama 4 Maverick
81.1%
5.Claude Haiku 4.5
80.6%

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Macro Coverage Overview

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

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Not Met

	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		5th 80.6%	3rd 82.4%	1st 83.1%	10th 78.4%	8th 79.0%	4th 81.1%	7th 79.0%	2nd 82.6%	9th 78.9%	13th 74.8%	12th 76.9%	11th 76.9%	6th 79.2%
65.2%		76%	71%	79%	0%	56%	65%	73%	70%	78%	70%	72%	68%	70%
64.8%		67%	61%	65%	73%	52%	57%	58%	85%	72%	69%	66%	58%	59%
80.2%		78%	82%	74%	83%	82%	84%	79%	87%	88%	74%	75%	75%	82%
81.7%		76%	88%	92%	82%	80%	88%	88%	89%	81%	72%	76%	73%	77%
62.8%		66%	69%	71%	68%	55%	64%	64%	66%	55%	59%	57%	63%	59%
90.5%		96%	91%	93%	90%	89%	90%	85%	93%	91%	93%	91%	89%	86%
62.6%		85%	67%	73%	59%	66%	69%	50%	53%	64%	38%	55%	67%	68%
85.2%		83%	84%	88%	81%	90%	89%	80%	88%	81%	88%	86%	80%	89%
82.5%		88%	76%	79%	73%	92%	91%	80%	77%	87%	89%	82%	72%	87%
82.3%		75%	65%	59%	96%	87%	79%	65%	90%	82%	96%	93%	93%	90%
86.4%		89%	92%	93%	80%	90%	89%	81%	89%	85%	80%	85%	85%	85%
85.7%		87%	93%	95%	84%	91%	88%	86%	93%	85%	67%	79%	81%	85%
85.8%		86%	86%	87%	84%	90%	82%	89%	86%	87%	82%	86%	85%	86%
65.2%		71%	71%	74%	60%	73%	55%	63%	57%	59%	68%	54%	71%	71%
77.4%		70%	76%	70%	77%	74%	83%	75%	88%	84%	81%	76%	77%	75%
78.1%		78%	72%	93%	76%	78%	83%	82%	86%	81%	71%	74%	68%	73%
82.2%		86%	82%	87%	85%	89%	80%	84%	77%	84%	71%	74%	83%	87%
85.6%		86%	90%	80%	84%	92%	92%	80%	82%	85%	80%	92%	88%	82%
83.2%		82%	94%	94%	84%	86%	83%	81%	86%	78%	69%	82%	74%	89%
48.1%		61%	44%	54%	59%	44%	59%	44%	58%	41%	41%	44%	44%	32%
80.0%		79%	82%	79%	78%	89%	91%	76%	77%	83%	78%	74%	79%	75%
89.5%		93%	91%	91%	89%	91%	95%	94%	83%	94%	75%	87%	83%	98%
91.6%		91%	92%	91%	92%	92%	90%	91%	90%	93%	93%	93%	91%	92%
47.6%		48%	56%	60%	47%	44%	53%	54%	54%	49%	39%	43%	34%	38%
81.8%		83%	89%	86%	86%	83%	90%	80%	93%	75%	79%	76%	79%	64%
73.3%		81%	65%	75%	73%	79%	73%	72%	60%	77%	55%	73%	86%	84%
88.8%		91%	88%	91%	92%	94%	89%	82%	92%	86%	83%	88%	88%	90%
84.2%		90%	84%	84%	88%	75%	92%	81%	87%	89%	83%	84%	73%	84%
75.8%		86%	92%	92%	0%	75%	87%	82%	87%	81%	75%	80%	70%	79%
80.3%		85%	84%	93%	87%	71%	80%	76%	83%	80%	75%	76%	77%	77%
90.0%		92%	91%	90%	90%	89%	90%	90%	88%	91%	89%	89%	88%	93%
83.6%		81%	88%	88%	82%	78%	85%	85%	86%	73%	79%	84%	88%	90%
75.2%		85%	76%	85%	84%	74%	75%	85%	74%	77%	78%	62%	57%	66%
61.5%		63%	64%	70%	65%	61%	61%	70%	66%	63%	63%	45%	54%	55%
83.5%		82%	83%	84%	84%	83%	80%	84%	86%	75%	84%	84%	88%	89%
88.6%		90%	93%	88%	88%	90%	89%	87%	85%	91%	85%	85%	89%	92%
83.3%		81%	92%	78%	77%	86%	80%	63%	89%	69%	91%	92%	93%	92%
79.6%		80%	85%	84%	79%	87%	82%	76%	87%	84%	63%	56%	87%	85%
89.2%		86%	89%	88%	91%	94%	88%	90%	86%	86%	88%	89%	92%	93%
69.5%		60%	82%	76%	61%	81%	63%	63%	82%	77%	63%	59%	67%	69%
84.3%		82%	84%	92%	93%	76%	88%	92%	92%	88%	71%	73%	70%	95%
84.7%		87%	87%	79%	87%	85%	93%	89%	91%	86%	79%	80%	83%	75%
78.8%		82%	74%	71%	84%	74%	78%	90%	79%	90%	89%	72%	66%	76%
68.4%		62%	70%	66%	63%	62%	83%	81%	79%	68%	69%	68%	69%	49%
85.3%		82%	89%	91%	87%	90%	93%	81%	89%	80%	82%	81%	87%	77%
84.9%		86%	86%	86%	85%	86%	86%	86%	90%	79%	75%	76%	87%	96%
80.4%		90%	81%	72%	84%	72%	82%	83%	79%	82%	83%	82%	82%	73%
92.3%		93%	93%	93%	91%	95%	89%	95%	96%	93%	91%	85%	93%	93%
86.8%		96%	88%	79%	89%	89%	97%	88%	79%	81%	76%	87%	85%	95%
86.8%		87%	89%	91%	87%	88%	92%	88%	96%	82%	77%	89%	74%	88%
86.5%		83%	96%	96%	83%	87%	89%	87%	89%	84%	74%	88%	81%	87%
64.2%		62%	65%	79%	55%	61%	66%	62%	78%	68%	65%	59%	58%	56%
73.6%		80%	74%	74%	81%	72%	62%	71%	70%	80%	66%	77%	72%	78%
57.9%		51%	49%	61%	57%	63%	58%	61%	62%	60%	66%	51%	55%	59%
86.6%		85%	91%	90%	88%	91%	93%	85%	91%	76%	79%	78%	89%	90%
85.8%		90%	85%	84%	93%	82%	81%	84%	90%	88%	89%	87%	74%	89%
69.7%		63%	71%	82%	67%	56%	87%	65%	87%	63%	83%	68%	61%	53%
89.8%		95%	94%	93%	93%	88%	93%	91%	91%	88%	79%	88%	92%	83%
65.7%		64%	60%	81%	77%	57%	70%	68%	75%	67%	59%	56%	55%	65%
76.9%		73%	83%	85%	76%	80%	80%	69%	77%	71%	78%	78%	84%	66%
86.6%		96%	91%	85%	89%	86%	89%	89%	90%	92%	79%	72%	80%	88%
75.2%		79%	82%	82%	77%	57%	74%	74%	81%	76%	75%	74%	71%	76%
82.3%		89%	92%	87%	79%	93%	88%	81%	92%	74%	72%	81%	74%	68%
86.6%		90%	93%	93%	73%	92%	87%	83%	87%	85%	80%	94%	89%	80%
90.4%		91%	95%	91%	93%	86%	89%	88%	90%	94%	86%	94%	87%	91%
86.5%		88%	90%	95%	98%	84%	92%	95%	87%	79%	70%	83%	74%	89%
76.9%		83%	78%	78%	88%	70%	77%	85%	76%	75%	69%	75%	72%	74%
75.1%		78%	80%	74%	71%	78%	69%	71%	79%	75%	68%	72%	78%	83%
72.8%		74%	83%	83%	87%	83%	68%	79%	87%	75%	74%	81%	0%	73%
87.8%		93%	82%	88%	82%	93%	87%	86%	82%	93%	89%	88%	84%	94%
82.3%		75%	91%	88%	80%	79%	86%	80%	91%	75%	80%	83%	84%	78%
85.4%		88%	89%	85%	82%	91%	90%	70%	92%	88%	85%	85%	82%	83%
90.2%		93%	91%	85%	90%	93%	87%	87%	93%	94%	90%	87%	89%	93%
68.2%		61%	82%	79%	62%	61%	71%	84%	84%	64%	56%	68%	63%	52%
75.3%		72%	82%	81%	77%	78%	82%	70%	78%	70%	61%	76%	80%	72%
80.4%		80%	87%	73%	80%	81%	87%	76%	79%	81%	77%	78%	81%	85%
81.5%		83%	89%	88%	79%	84%	85%	84%	82%	75%	72%	85%	76%	78%
84.9%		87%	86%	91%	87%	75%	92%	82%	88%	85%	84%	80%	84%	83%
84.2%		83%	88%	89%	77%	89%	84%	83%	84%	83%	83%	86%	84%	82%
84.2%		82%	94%	83%	87%	91%	86%	83%	85%	78%	76%	75%	85%	90%
93.1%		95%	96%	90%	90%	94%	93%	96%	90%	95%	94%	95%	95%	87%
84.4%		86%	89%	97%	84%	97%	76%	77%	92%	81%	63%	78%	84%	93%
74.5%		83%	85%	79%	0%	85%	90%	79%	85%	76%	75%	77%	78%	76%
90.6%		94%	97%	93%	93%	90%	94%	97%	93%	88%	74%	88%	84%	93%
85.9%		94%	92%	89%	80%	86%	89%	85%	85%	82%	75%	85%	84%	91%
84.6%		86%	88%	88%	85%	87%	84%	88%	84%	78%	82%	86%	88%	76%
69.3%		62%	77%	71%	67%	77%	69%	68%	65%	68%	64%	63%	75%	75%
74.7%		71%	80%	79%	73%	78%	76%	72%	83%	77%	68%	67%	72%	75%
61.5%		47%	83%	77%	72%	69%	55%	67%	63%	52%	42%	46%	60%	66%
82.7%		79%	84%	84%	82%	74%	77%	78%	83%	96%	81%	75%	96%	86%
77.5%		82%	72%	70%	78%	77%	83%	77%	78%	86%	77%	70%	76%	82%
58.2%		47%	70%	84%	68%	50%	47%	62%	68%	47%	46%	48%	64%	56%
75.0%		83%	80%	64%	86%	66%	67%	63%	72%	71%	80%	83%	80%	80%
86.6%		83%	94%	92%	88%	85%	93%	90%	95%	84%	74%	83%	80%	85%
62.8%		61%	66%	65%	68%	63%	65%	67%	59%	54%	66%	63%	60%	60%
84.6%		86%	90%	90%	86%	84%	77%	70%	84%	78%	88%	88%	89%	90%
86.2%		87%	92%	95%	71%	72%	90%	79%	91%	88%	87%	88%	92%	88%
88.8%		79%	90%	90%	82%	93%	94%	87%	92%	92%	89%	89%	88%	90%
75.3%		76%	72%	87%	83%	52%	78%	79%	88%	83%	69%	70%	63%	79%
70.1%		65%	83%	72%	72%	63%	71%	74%	86%	69%	54%	69%	69%	64%
72.9%		69%	78%	82%	77%	68%	69%	77%	88%	77%	71%	69%	52%	71%
86.8%		93%	89%	91%	90%	80%	82%	83%	87%	91%	88%	89%	79%	87%
69.4%		85%	61%	77%	73%	70%	71%	62%	56%	67%	46%	71%	77%	86%
86.1%		83%	79%	82%	94%	86%	86%	90%	85%	87%	88%	88%	82%	89%
87.9%		96%	92%	89%	90%	75%	96%	87%	94%	85%	76%	92%	78%	93%
82.6%		94%	89%	88%	75%	75%	88%	89%	85%	84%	65%	72%	85%	85%
83.9%		89%	88%	94%	92%	73%	77%	93%	95%	78%	79%	70%	80%	83%
62.6%		62%	55%	69%	66%	47%	55%	65%	81%	69%	64%	61%	56%	64%
75.7%		81%	80%	82%	72%	74%	77%	76%	74%	75%	58%	75%	79%	81%
84.8%		87%	77%	93%	94%	90%	85%	85%	89%	92%	89%	74%	69%	78%
84.5%		84%	92%	91%	88%	85%	78%	69%	81%	68%	88%	89%	93%	93%
91.2%		91%	92%	91%	94%	95%	92%	85%	90%	91%	93%	92%	87%	93%
74.2%		83%	68%	77%	72%	78%	80%	77%	61%	75%	59%	74%	81%	79%
87.6%		87%	94%	93%	78%	90%	93%	86%	87%	83%	91%	91%	88%	78%
91.2%		87%	96%	96%	93%	95%	94%	97%	96%	97%	74%	82%	95%	83%
67.7%		56%	76%	72%	72%	67%	78%	71%	70%	58%	70%	57%	75%	58%