DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Religion%3Ai Do Not Identify With Any Religious Group Or Faith Ctx - Run 7ded702...

Global Dialogues GD6 - I do not identify with any religious group or faith (with context)

DTEF: Predict response distributions for I do not identify with any religious group or faith. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Data Privacy & Bodily Autonomy

Economic Disruption & Reskilling Advice

AI Safety & Robustness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4
87.3%
2.Claude Sonnet 4.5
87.2%
3.GPT 4.1
86.2%
4.Llama 4 Maverick
85.3%
5.Gemini 2.5 Flash
85.3%

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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		6th 84.8%	1st 87.3%	2nd 87.2%	5th 85.3%	13th 76.0%	4th 85.3%	7th 84.6%	3rd 86.2%	9th 82.2%	12th 77.8%	11th 80.1%	10th 80.7%	8th 82.4%
74.6%		88%	79%	88%	79%	48%	84%	84%	82%	75%	64%	73%	63%	63%
76.7%		67%	83%	88%	82%	74%	71%	81%	80%	75%	74%	74%	70%	78%
81.8%		80%	88%	89%	86%	82%	82%	91%	84%	79%	75%	74%	78%	75%
85.0%		85%	86%	93%	91%	87%	84%	84%	86%	88%	70%	83%	82%	86%
85.2%		89%	94%	95%	88%	71%	78%	88%	85%	94%	81%	76%	83%	86%
78.9%		86%	87%	88%	91%	63%	79%	70%	67%	77%	87%	68%	97%	66%
80.8%		67%	86%	86%	77%	84%	86%	76%	86%	83%	81%	70%	85%	84%
86.8%		91%	88%	84%	96%	66%	95%	84%	94%	96%	68%	82%	89%	96%
86.5%		91%	89%	89%	89%	87%	86%	82%	82%	86%	92%	82%	83%	87%
81.1%		87%	91%	92%	88%	75%	70%	79%	87%	74%	82%	80%	72%	77%
77.5%		77%	77%	73%	86%	67%	76%	78%	82%	83%	78%	73%	77%	81%
84.5%		93%	87%	90%	89%	70%	84%	93%	85%	86%	82%	76%	86%	77%
88.6%		93%	94%	94%	92%	70%	93%	87%	89%	89%	91%	91%	84%	85%
85.8%		83%	79%	86%	90%	90%	83%	88%	83%	86%	78%	89%	93%	88%
73.2%		95%	78%	65%	55%	64%	89%	67%	93%	62%	79%	47%	75%	82%
81.6%		94%	95%	91%	90%	10%	86%	82%	85%	95%	88%	86%	68%	91%
83.6%		82%	88%	90%	90%	82%	71%	85%	94%	87%	72%	87%	84%	75%
66.8%		71%	81%	61%	60%	75%	54%	60%	61%	74%	73%	56%	72%	71%
77.1%		78%	91%	93%	89%	59%	92%	90%	89%	94%	43%	51%	50%	83%
63.2%		87%	76%	78%	57%	52%	72%	62%	56%	52%	50%	52%	60%	68%
87.3%		90%	92%	93%	92%	75%	86%	88%	92%	92%	83%	92%	71%	89%
95.0%		95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%
80.6%		85%	91%	94%	86%	78%	76%	89%	92%	79%	54%	69%	78%	77%
75.4%		80%	75%	78%	72%	75%	75%	73%	73%	81%	59%	84%	80%	75%
77.8%		87%	88%	92%	80%	54%	93%	89%	86%	66%	61%	76%	70%	69%
84.7%		84%	90%	79%	86%	84%	83%	84%	89%	75%	66%	96%	91%	94%
93.3%		98%	93%	93%	92%	95%	95%	97%	92%	92%	87%	94%	91%	94%
79.8%		85%	92%	92%	71%	76%	79%	81%	78%	77%	76%	76%	77%	77%
81.6%		83%	88%	88%	86%	81%	82%	83%	90%	77%	63%	84%	79%	77%
74.8%		88%	85%	88%	75%	22%	86%	88%	91%	61%	75%	77%	75%	61%
85.8%		89%	93%	94%	89%	74%	97%	86%	71%	84%	91%	72%	87%	88%
78.2%		87%	79%	83%	78%	77%	83%	87%	84%	71%	64%	70%	75%	79%
82.7%		95%	88%	90%	94%	61%	87%	89%	92%	87%	85%	80%	53%	74%
89.6%		85%	87%	92%	92%	95%	89%	91%	93%	92%	92%	77%	89%	91%
88.5%		88%	92%	92%	92%	88%	93%	88%	92%	89%	75%	87%	83%	92%
89.8%		94%	92%	91%	90%	82%	93%	91%	94%	90%	91%	91%	84%	85%
80.0%		74%	86%	80%	85%	86%	90%	80%	81%	69%	80%	70%	76%	83%
91.8%		92%	93%	92%	92%	86%	93%	92%	95%	92%	92%	91%	91%	92%
90.8%		92%	89%	87%	89%	77%	95%	93%	93%	91%	90%	96%	94%	94%
81.0%		84%	87%	90%	82%	81%	84%	86%	80%	85%	55%	83%	72%	84%
74.8%		83%	85%	92%	96%	63%	88%	81%	90%	66%	32%	76%	59%	61%
79.0%		85%	88%	86%	71%	78%	69%	82%	67%	76%	73%	76%	93%	83%
75.9%		58%	73%	72%	87%	87%	80%	86%	85%	83%	50%	82%	64%	80%
89.5%		93%	94%	91%	93%	94%	95%	91%	96%	93%	66%	90%	76%	91%
89.2%		92%	96%	95%	93%	83%	90%	91%	90%	91%	80%	87%	88%	84%
83.3%		91%	87%	97%	85%	48%	82%	94%	93%	94%	93%	74%	73%	72%
92.2%		90%	91%	91%	92%	95%	95%	91%	93%	92%	92%	91%	92%	93%
86.8%		86%	87%	86%	81%	95%	92%	86%	84%	86%	85%	78%	96%	87%
89.3%		92%	93%	93%	91%	83%	91%	92%	87%	88%	90%	82%	89%	90%
91.0%		91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
85.2%		92%	85%	82%	91%	59%	88%	87%	91%	93%	93%	78%	77%	92%
83.1%		82%	89%	92%	95%	81%	81%	85%	90%	85%	84%	69%	74%	73%
76.6%		78%	80%	76%	84%	67%	78%	76%	74%	73%	80%	71%	88%	71%
72.4%		71%	82%	93%	81%	69%	80%	77%	81%	59%	65%	71%	54%	58%
92.8%		94%	94%	92%	85%	95%	94%	86%	99%	96%	94%	94%	89%	95%
85.8%		94%	93%	92%	96%	42%	94%	92%	94%	88%	91%	74%	76%	90%
85.2%		90%	92%	89%	86%	53%	87%	88%	90%	86%	86%	85%	86%	89%
69.2%		74%	77%	82%	88%	58%	70%	74%	77%	68%	55%	51%	68%	57%
90.7%		96%	94%	95%	92%	84%	95%	96%	92%	89%	75%	91%	90%	90%
96.9%		97%	97%	97%	97%	96%	97%	97%	97%	97%	97%	97%	97%	97%
80.3%		73%	92%	91%	80%	88%	83%	88%	81%	80%	68%	75%	76%	69%
80.6%		79%	75%	79%	79%	91%	85%	81%	86%	71%	80%	89%	81%	72%
83.2%		68%	85%	77%	68%	85%	83%	88%	76%	91%	98%	71%	96%	96%
84.5%		83%	88%	87%	90%	86%	80%	90%	89%	78%	86%	86%	78%	78%
85.2%		78%	85%	91%	96%	81%	86%	90%	97%	63%	85%	90%	92%	74%
82.5%		78%	89%	90%	76%	89%	84%	81%	88%	90%	78%	83%	85%	62%
88.6%		81%	95%	88%	91%	94%	88%	94%	88%	86%	79%	96%	83%	89%
89.2%		91%	95%	87%	79%	90%	88%	97%	98%	75%	92%	92%	89%	87%
73.8%		71%	74%	71%	72%	84%	78%	77%	77%	78%	68%	65%	73%	71%
67.2%		75%	68%	51%	46%	78%	67%	57%	64%	72%	74%	77%	71%	73%
89.8%		87%	93%	94%	92%	73%	92%	87%	91%	92%	92%	92%	92%	91%
81.8%		93%	82%	88%	84%	79%	78%	75%	76%	83%	84%	75%	84%	83%
58.2%		79%	63%	60%	77%	40%	72%	53%	60%	45%	42%	56%	52%	57%
78.1%		69%	77%	73%	76%	82%	75%	74%	83%	89%	77%	73%	85%	82%
87.9%		84%	91%	91%	91%	81%	84%	82%	91%	84%	91%	91%	91%	91%
84.2%		77%	85%	80%	79%	87%	81%	89%	80%	83%	96%	92%	81%	84%
96.8%		97%	97%	97%	97%	94%	97%	97%	97%	97%	97%	97%	97%	97%
88.3%		89%	96%	95%	92%	74%	92%	95%	89%	86%	90%	89%	75%	86%
89.3%		91%	90%	85%	89%	93%	87%	90%	90%	94%	82%	91%	88%	91%
68.7%		82%	83%	82%	73%	38%	72%	56%	74%	78%	61%	42%	73%	79%
73.3%		65%	82%	86%	88%	56%	92%	71%	93%	28%	28%	88%	88%	88%
83.1%		87%	83%	90%	93%	72%	87%	85%	84%	84%	80%	71%	72%	92%
93.7%		95%	95%	95%	95%	78%	95%	95%	95%	95%	95%	95%	95%	95%
91.4%		94%	97%	96%	95%	91%	96%	92%	86%	89%	90%	80%	89%	93%
83.7%		84%	85%	88%	71%	84%	85%	92%	92%	71%	85%	85%	79%	87%
90.1%		91%	91%	91%	91%	88%	91%	91%	91%	91%	91%	91%	82%	91%
88.8%		93%	97%	92%	91%	72%	94%	91%	94%	93%	65%	86%	91%	95%
90.8%		83%	95%	92%	95%	81%	92%	92%	94%	95%	82%	92%	95%	92%
83.3%		82%	83%	91%	84%	89%	91%	83%	93%	77%	77%	78%	77%	78%
81.2%		77%	82%	93%	77%	78%	88%	81%	94%	77%	77%	77%	77%	77%
86.2%		77%	90%	88%	93%	85%	90%	84%	92%	91%	77%	90%	78%	86%