DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 Religion%3Ai Do Not Identify With Any Religious Group Or Faith C10 - Run 2276a68...

Global Dialogues GD3 - I do not identify with any religious group or faith (10 context Qs)

DTEF: Predict response distributions for I do not identify with any religious group or faith. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Reasoning

Efficiency & Succinctness

Epistemic Humility & Self Awareness

Best Models (Coverage)

1.Claude Sonnet 4.5
86.7%
2.Claude 3.7 Sonnet
86.4%
3.Claude Haiku 4.5
84.7%
4.GPT 5
84.3%
5.GPT 4.1
83.8%

🔀 Least Similar Models

Claude Sonnet 4vsGPT OSS 20b

71.8% similarity

👯 Most Similar Models

Claude 3.7 SonnetvsClaude Sonnet 4.5

89.4% similarity

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Macro Coverage Overview

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

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	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 4.1 Fast
Score	2nd 86.4%	3rd 84.7%	15th 78.9%	1st 86.7%	9th 82.3%	17th 77.6%	7th 82.8%	8th 82.7%	12th 81.3%	5th 83.8%	11th 81.3%	20th 74.8%	10th 81.7%	19th 75.6%	4th 84.3%	6th 83.0%	18th 77.4%	21st 73.2%	13th 79.5%	16th 78.1%	14th 79.2%
86.6%		88%	92%	92%	87%	78%	89%	90%	82%	94%	91%	81%	87%	82%	94%	92%	87%	85%	86%	67%	89%
81.7%	81%	90%	84%	86%	75%	88%	91%	85%	86%	76%	76%	68%	88%	73%	90%	86%	82%	78%	76%	76%	80%
59.0%		66%	0%	61%	59%	58%	69%	69%	59%	68%	65%	55%	59%	53%	59%	59%	63%	75%	53%	63%	66%
88.3%	94%	84%	91%	90%	92%	81%	93%	88%	91%	93%	85%	90%	91%	84%	84%	91%	84%	85%	88%	89%	87%
89.4%		94%	94%	94%	90%	91%	92%	90%	88%	96%	89%	88%	81%	89%	91%	90%	89%	91%	88%	86%	76%
88.2%		85%	82%	92%	95%	89%	86%	91%	90%	86%	90%	87%	85%	86%	84%	81%	96%	95%	82%	88%	94%
90.2%	92%	89%	93%	93%	85%	89%	87%	95%	91%	90%	88%	88%	90%	95%	93%	93%	96%	87%	82%	88%	90%
83.2%	96%	94%	88%	88%	80%	62%	87%	92%	86%	92%	85%	74%	89%	68%	95%	84%	85%	61%	70%	86%	85%
82.0%	74%	79%	79%	79%	90%	71%	85%	79%	86%	87%	85%	82%	82%	79%	82%	85%	87%	85%	79%	84%	84%
88.3%	88%	90%	94%	95%	90%	97%	84%	85%	82%	88%	90%	93%	87%	90%	87%	91%	82%	74%	90%	93%	84%
75.7%		84%	86%	86%	63%	86%	84%	91%	77%	67%	82%	82%	61%	66%	75%	76%	57%	39%	96%	73%	83%
86.0%	86%	93%	93%	96%	87%	75%	83%	93%	87%	84%	86%	92%	82%	82%	93%	89%	70%	76%	94%	81%	85%
74.6%	81%	79%	87%	91%	81%	89%	73%	77%	74%	75%	75%	62%	73%	89%	74%	70%	57%	57%	80%	65%	57%
87.8%	88%	94%	94%	93%	86%	91%	94%	94%	94%	95%	83%	63%	96%	76%	93%	87%	71%	88%	92%	94%	77%
83.7%	85%	87%	86%	86%	83%	78%	88%	88%	86%	86%	87%	75%	85%	77%	93%	85%	80%	79%	76%	84%	84%
84.2%		87%	83%	84%	81%	75%	88%	87%	83%	88%	84%	77%	84%	80%	95%	89%	82%	79%	86%	81%	91%
68.6%		79%	77%	68%	70%	60%	73%	53%	61%	67%	66%	59%	60%	61%	85%	77%	74%	73%	68%	69%	72%
75.6%		78%	78%	89%	71%	56%	82%	82%	72%	74%	72%	66%	81%	58%	85%	82%	73%	70%	80%	76%	87%
60.1%	64%	46%	68%	63%	77%	45%	59%	62%	65%	75%	63%	41%	70%	61%	77%	80%	56%	47%	48%	45%	50%
83.1%	91%	92%	89%	89%	92%	75%	94%	81%	75%	89%	76%	74%	90%	74%	94%	92%	73%	73%	79%	73%	80%
79.6%	85%	84%	93%	90%	88%	75%	83%	85%	81%	89%	87%	74%	86%	77%	75%	76%	67%	61%	72%	75%	68%
84.6%	91%	95%	94%	87%	85%	83%	90%	85%	86%	94%	88%	79%	90%	84%	89%	86%	71%	60%	85%	81%	74%
83.2%	80%	84%	83%	80%	89%	89%	88%	92%	79%	88%	89%	59%	86%	81%	84%	81%	84%	82%	86%	87%	76%
79.5%	95%	88%	97%	92%	86%	89%	70%	77%	81%	83%	84%	69%	75%	82%	84%	78%	67%	63%	80%	65%	65%
86.9%	85%	92%	92%	95%	92%	92%	93%	90%	97%	91%	90%	63%	82%	73%	83%	90%	95%	92%	91%	64%	83%
78.1%		85%	84%	84%	88%	80%	75%	72%	78%	82%	84%	76%	80%	84%	77%	76%	67%	67%	81%	74%	68%
79.8%	90%	87%	89%	89%	81%	62%	83%	87%	80%	84%	66%	78%	81%	69%	85%	84%	76%	77%	77%	77%	73%
83.1%	95%	91%	84%	92%	92%	66%	86%	97%	86%	86%	76%	77%	84%	57%	88%	92%	88%	76%	61%	81%	90%
76.1%	84%	86%	86%	87%	75%	71%	82%	72%	74%	73%	72%	75%	72%	64%	76%	80%	76%	71%	74%	74%	74%
80.1%		80%	89%	92%	88%	73%	78%	88%	86%	84%	79%	71%	77%	66%	81%	78%	77%	79%	78%	80%	77%
86.1%	92%	85%	91%	92%	90%	80%	89%	88%	89%	89%	90%	81%	90%	81%	93%	89%	74%	70%	85%	82%	89%
79.2%		79%	0%	87%	87%	88%	76%	76%	87%	77%	80%	91%	87%	93%	82%	80%	82%	82%	93%	79%	79%
58.1%		63%	0%	57%	57%	56%	67%	67%	57%	65%	63%	53%	57%	51%	57%	63%	61%	65%	51%	87%	64%
79.6%	87%	78%	86%	89%	94%	68%	75%	80%	80%	84%	75%	73%	76%	70%	88%	86%	81%	79%	73%	73%	76%
74.3%	78%	97%	89%	87%	60%	61%	65%	63%	66%	68%	69%	65%	77%	69%	78%	75%	81%	71%	93%	82%	66%
75.3%	76%	77%	81%	81%	63%	81%	80%	74%	81%	72%	81%	82%	81%	80%	73%	63%	70%	61%	79%	71%	74%
82.6%	93%	86%	92%	92%	81%	88%	88%	82%	82%	90%	86%	81%	85%	72%	81%	88%	71%	61%	74%	76%	85%
85.5%		85%	91%	95%	83%	93%	89%	86%	89%	92%	85%	69%	96%	80%	85%	84%	66%	82%	86%	78%	96%
81.0%	95%	87%	82%	92%	88%	71%	86%	88%	83%	87%	80%	75%	85%	67%	89%	90%	78%	61%	67%	73%	76%
90.3%		93%	0%	99%	99%	98%	90%	89%	99%	91%	94%	95%	99%	93%	96%	99%	96%	96%	93%	93%	93%
84.0%	93%	91%	93%	93%	82%	84%	87%	94%	80%	94%	91%	77%	84%	62%	87%	88%	86%	44%	84%	86%	85%
81.9%	81%	87%	76%	83%	84%	69%	86%	82%	82%	86%	82%		80%	93%	86%	84%	83%	79%	76%	75%	84%
81.8%		85%	81%	79%	71%	87%	74%	68%	79%	83%	88%	82%	83%	79%	87%	82%	86%		85%	85%	90%

Model Similarity Dendrogram

Hierarchical clustering of models based on response similarity. Models grouped closer are more similar.