DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 Religion%3Ai Do Not Identify With Any Religious Group Or Faith C5 - Run 2276a68...

Global Dialogues GD3 - I do not identify with any religious group or faith (5 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

AI Safety & Robustness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
85.3%
2.Claude 3.7 Sonnet
85.3%
3.Claude Haiku 4.5
84.2%
4.Claude Sonnet 4
84.1%
5.GPT 4.1 Mini
83.0%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

65.6% similarity

👯 Most Similar Models

Llama 4 MaverickvsGPT 4.1

88.3% 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 85.3%	3rd 84.2%	4th 84.1%	1st 85.3%	9th 82.4%	18th 77.6%	10th 82.3%	7th 82.7%	11th 81.8%	8th 82.6%	5th 83.0%	19th 77.0%	12th 81.7%	20th 76.8%	13th 81.7%	6th 83.0%	16th 78.0%	21st 73.7%	15th 79.5%	17th 77.8%	14th 81.2%
86.6%	90%	92%	86%	90%	86%	65%	89%	95%	86%	89%	91%	87%	87%	83%	94%	90%	90%	84%	85%	70%	89%
82.3%	83%	90%	79%	82%	73%	88%	87%	88%	87%	82%	80%	72%	80%	73%	89%	88%	88%	65%	80%	85%	89%
65.3%	66%	66%	59%	69%	59%	74%	69%	72%	59%	69%	69%	63%	71%	53%	66%	69%	66%	59%	61%	66%	66%
88.6%	92%	87%	92%	88%	91%	81%	92%	90%	87%	91%	89%	88%	94%	79%	94%	94%	90%	79%	88%	88%	87%
89.1%	97%	90%	94%	89%	94%	92%	90%	89%	86%	89%	86%	88%	90%	86%	90%	88%	88%	82%	89%	86%	88%
89.0%	86%	84%	82%	94%	95%	88%	90%	98%	90%	91%	93%	95%	93%	90%	78%	84%	90%	84%	87%	85%	92%
82.5%	83%	74%	80%	90%	86%	68%	86%	89%	85%	75%	91%	90%	79%	68%	79%	82%	93%	87%	82%	90%	76%
83.2%	93%	89%	81%	86%	79%	60%	87%	94%	86%	87%	80%	86%	86%	73%	94%	93%	81%	73%	70%	85%	84%
82.5%	76%	79%	79%	78%	86%	71%	79%	84%	88%	87%	82%	88%	83%	82%	80%	84%	83%	97%	79%	84%	84%
86.9%	90%	97%	87%	86%	90%	97%	85%	81%	85%	87%	87%	89%	86%	83%	91%	89%	79%	84%	94%	76%	82%
75.1%	84%	84%	86%	85%	72%	86%	68%	91%	77%	72%	86%	68%	66%	68%	70%	81%	52%	57%	88%	58%	79%
90.7%	91%	94%	96%	94%	91%	95%	86%	94%	90%	91%	85%	92%	89%	91%	97%	89%	82%	83%	95%	93%	87%
82.0%	89%	80%	94%	93%	90%	89%	77%	76%	81%	89%	82%	62%	78%	91%	84%	79%	76%	71%	83%	75%	84%
81.1%	87%	87%	85%	80%	94%	79%	84%	77%	84%	75%	82%	89%	80%	91%	78%	80%	68%	73%	93%	69%	69%
82.9%	80%	90%	85%	86%	82%	73%	88%	87%	85%	81%	87%	74%	87%	86%	86%	89%	82%	77%	76%	81%	79%
85.3%	91%	88%	94%	93%	83%	71%	88%	91%	85%	91%	88%	85%	93%	78%	92%	88%	68%	64%	82%	89%	90%
69.7%	77%	79%	77%	80%	69%	61%	73%	55%	59%	70%	77%	64%	59%	61%	77%	83%	66%	45%	79%	73%	79%
73.6%	83%	69%	72%	82%	67%	58%	77%	80%	74%	72%	72%	67%	77%	63%	86%	78%	83%	50%	73%	81%	82%
55.0%	64%	43%	70%	58%	63%	45%	57%	53%	56%	66%	64%	43%	51%	51%	77%	76%	40%	38%	33%	55%	51%
84.8%	83%	78%	74%	79%	88%	90%	88%	88%	91%	82%	89%	90%	87%	82%	84%	84%	90%	90%	87%	66%	91%
82.2%	88%	91%	85%	90%	82%	83%	87%	78%	82%	93%	85%	70%	92%	82%	75%	74%	81%	75%	74%	82%	78%
86.3%	88%	94%	88%	84%	90%	86%	92%	81%	88%	92%	92%	75%	89%	86%	90%	89%	82%	64%	85%	89%	89%
79.3%	78%	80%	84%	85%	84%	85%	88%	87%	79%	81%	85%	32%	84%	85%	78%	79%	79%	77%	76%	83%	77%
85.1%	97%	91%	93%	93%	88%	87%	82%	86%	83%	91%	90%	59%	83%	83%	91%	92%	86%	83%	85%	49%	96%
80.7%	89%	87%	86%	78%	87%	87%	82%	79%	83%	78%	90%	79%	81%	92%	72%	77%	72%	64%	89%	77%	66%
78.8%	81%	84%	83%	90%	86%	80%	79%	73%	78%	83%	84%	79%	81%	84%	77%	81%	65%	63%	79%	81%	64%
78.1%	91%	79%	80%	82%	75%	60%	79%	79%	75%	77%	71%	82%	83%	65%	88%	86%	81%	76%	77%	76%	79%
81.3%	93%	94%	84%	82%	89%	63%	73%	89%	88%	78%	80%	80%	83%	55%	93%	87%	82%	77%	65%	88%	84%
76.3%	85%	86%	80%	87%	87%	75%	82%	72%	72%	72%	76%	71%	73%	68%	77%	73%	76%	71%	72%	75%	72%
79.3%	88%	83%	89%	91%	87%	79%	79%	82%	78%	79%	79%	84%	74%	66%	86%	78%	72%	50%	77%	84%	80%
86.2%	92%	94%	92%	89%	87%	87%	89%	82%	83%	89%	90%	67%	91%	82%	91%	91%	80%	73%	86%	87%	89%
78.8%	74%	79%	87%	76%	87%	71%	76%	73%	87%	76%	76%	82%	74%	93%	79%	76%	81%	87%	85%	56%	79%
64.0%	65%	63%	57%	67%	57%	71%	66%	69%	57%	66%	67%	61%	69%	51%	65%	66%	62%	57%	58%	87%	64%
82.1%	91%	85%	81%	92%	95%	69%	86%	91%	90%	76%	81%	84%	73%	57%	94%	88%	92%	84%	71%	70%	74%
82.0%	88%	93%	90%	90%	52%	89%	72%	89%	82%	86%	73%	92%	84%	92%	80%	70%	64%	84%	85%	91%	75%
79.3%	81%	85%	87%	81%	70%	82%	84%	84%	86%	83%	84%	83%	88%	72%	62%	60%	84%	76%	78%	74%	82%
84.4%	96%	89%	92%	93%	81%	86%	87%	78%	83%	90%	86%	72%	86%	77%	80%	86%	80%	80%	78%	86%	86%
84.8%	92%	86%	94%	96%	91%	88%	94%	79%	98%	93%	92%	69%	96%	80%	84%	89%	66%	69%	77%	57%	91%
82.0%	97%	81%	82%	94%	81%	70%	86%	88%	83%	83%	81%	81%	81%	73%	92%	89%	69%	77%	67%	87%	79%
91.7%	89%	93%	99%	90%	99%	85%	90%	87%	99%	90%	90%	96%	88%	93%	93%	90%	95%	99%	99%	69%	93%
80.4%	91%	90%	93%	95%	90%	67%	87%	96%	85%	84%	91%	84%	81%	58%	0%	87%	77%	76%	82%	82%	93%
82.4%	82%	88%	76%	83%	81%	68%	86%	89%	77%	92%	81%	70%	87%	89%	88%	84%	82%	81%	86%	77%	83%
82.2%	66%	85%	82%	79%	79%	86%	74%	72%	80%	85%	86%	79%	75%	88%	90%	87%	89%	85%	84%	85%	90%

Model Similarity Dendrogram

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