DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Religion%3Ahinduism Ctx - Run 6919385...

Global Dialogues GD4 - Hinduism (with context)

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Social interaction

AI Safety & Robustness

Cultural Competency

Demographic Analysis

Best Models (Coverage)

1.Claude Sonnet 4
84.0%
2.Claude Sonnet 4.5
84.0%
3.Gemini 2.5 Flash
83.8%
4.GPT 4.1
83.5%
5.Claude Haiku 4.5
83.2%

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Macro Coverage Overview

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

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Color Scale - Simplified View (Avg. Coverage)

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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 83.2%	1st 84.0%	2nd 84.0%	3rd 83.8%	12th 76.4%	7th 81.4%	6th 82.8%	4th 83.5%	8th 81.0%	13th 75.7%	10th 80.3%	11th 78.5%	9th 80.7%
81.5%		82%	86%	86%	91%	60%	85%	88%	86%	83%	53%	88%	84%	87%
77.0%		84%	83%	85%	94%	58%	69%	89%	95%	84%	62%	70%	62%	66%
78.9%		81%	87%	86%	84%	71%	63%	88%	86%	84%	59%	88%	75%	74%
87.0%		91%	88%	87%	88%	90%	88%	84%	91%	85%	78%	87%	85%	89%
76.8%		82%	83%	75%	76%	65%	83%	78%	81%	69%	75%	73%	77%	82%
90.4%		89%	97%	95%	91%	86%	87%	92%	94%	89%	91%	91%	83%	90%
65.2%		85%	79%	82%	77%	55%	52%	67%	55%	52%	52%	62%	57%	72%
74.1%		78%	73%	72%	77%	58%	85%	75%	77%	72%	90%	64%	66%	76%
80.4%		92%	90%	82%	75%	90%	74%	79%	71%	72%	62%	83%	88%	87%
51.8%		57%	48%	45%	52%	63%	46%	52%	46%	56%	46%	51%	57%	55%
89.8%		82%	93%	95%	97%	82%	91%	95%	94%	85%	93%	91%	83%	87%
90.2%		85%	86%	90%	90%	89%	88%	95%	91%	91%	91%	91%	93%	92%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
66.0%		81%	89%	81%	69%	66%	46%	59%	60%	73%	57%	62%	48%	67%
85.3%		83%	88%	89%	90%	72%	81%	90%	89%	90%	75%	82%	90%	90%
82.4%		94%	88%	82%	81%	84%	88%	86%	84%	88%	61%	84%	63%	88%
91.2%		97%	95%	96%	96%	77%	98%	91%	94%	89%	91%	88%	85%	88%
82.8%		82%	78%	84%	88%	80%	83%	87%	85%	83%	73%	84%	84%	85%
88.8%		87%	92%	91%	96%	87%	88%	81%	93%	95%	76%	89%	90%	89%
70.8%		73%	73%	72%	70%	53%	75%	68%	76%	71%	73%	77%	71%	68%
86.2%		88%	88%	90%	85%	89%	88%	90%	88%	88%	71%	86%	85%	84%
90.3%		91%	98%	92%	93%	87%	95%	91%	88%	90%	90%	90%	79%	90%
88.2%		86%	97%	95%	87%	76%	86%	89%	91%	88%	89%	86%	91%	86%
70.1%		89%	65%	69%	82%	65%	77%	71%	78%	76%	53%	68%	54%	64%
82.7%		79%	79%	75%	71%	90%	83%	83%	76%	85%	85%	88%	92%	89%
89.9%		91%	89%	89%	93%	91%	74%	90%	87%	93%	93%	93%	93%	93%
85.8%		85%	85%	88%	90%	73%	93%	88%	90%	73%	87%	83%	89%	92%
77.9%		62%	72%	82%	81%	72%	75%	83%	85%	83%	81%	77%	77%	83%
77.8%		82%	82%	80%	88%	69%	84%	81%	82%	83%	74%	71%	70%	66%
85.7%		77%	91%	86%	93%	81%	89%	93%	91%	89%	56%	89%	90%	89%
91.8%		93%	92%	91%	89%	88%	93%	89%	90%	93%	94%	94%	95%	93%
87.3%		90%	90%	92%	89%	83%	82%	90%	88%	91%	82%	92%	90%	76%
79.8%		91%	93%	91%	93%	65%	85%	91%	91%	84%	65%	59%	60%	69%
75.1%		75%	80%	88%	92%	58%	79%	85%	89%	80%	45%	80%	45%	80%
84.5%		84%	83%	84%	85%	82%	85%	74%	87%	88%	88%	89%	81%	88%
90.5%		92%	92%	91%	86%	88%	90%	89%	89%	92%	91%	95%	90%	91%
87.8%		96%	97%	93%	86%	86%	76%	90%	94%	71%	83%	91%	85%	94%
84.9%		86%	84%	84%	84%	86%	86%	86%	81%	83%	86%	86%	86%	86%
93.1%		96%	96%	95%	94%	85%	92%	94%	95%	93%	94%	93%	93%	90%
85.5%		86%	86%	79%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%
83.5%		93%	90%	80%	88%	74%	92%	91%	86%	90%	54%	83%	73%	91%
82.2%		87%	79%	87%	80%	76%	85%	84%	77%	87%	95%	64%	89%	78%
78.3%		93%	81%	93%	90%	58%	84%	89%	86%	83%	66%	48%	70%	77%
67.0%		57%	69%	53%	61%	81%	77%	68%	75%	62%	64%	79%	66%	59%
83.5%		88%	94%	81%	92%	92%	89%	79%	90%	62%	62%	89%	80%	87%
79.1%		69%	83%	85%	70%	75%	97%	85%	82%	68%	74%	73%	83%	84%
78.6%		88%	83%	65%	79%	84%	70%	83%	75%	82%	77%	80%	78%	78%
91.5%		85%	99%	100%	95%	78%	94%	89%	88%	95%	85%	95%	98%	89%
87.2%		89%	83%	92%	90%	87%	85%	80%	92%	90%	90%	90%	76%	90%
86.8%		88%	83%	88%	91%	81%	84%	83%	92%	91%	91%	86%	88%	83%
91.2%		88%	93%	92%	94%	88%	92%	93%	93%	90%	90%	90%	90%	93%
77.5%		81%	85%	77%	87%	75%	87%	74%	85%	80%	72%	71%	60%	74%
79.5%		81%	82%	92%	95%	58%	81%	79%	81%	76%	76%	76%	80%	76%
65.9%		70%	66%	65%	90%	59%	67%	61%	72%	80%	67%	53%	51%	56%
88.9%		89%	89%	89%	89%	88%	89%	89%	89%	89%	89%	89%	89%	89%
78.9%		77%	87%	88%	78%	76%	81%	83%	84%	74%	73%	80%	72%	73%
56.5%		60%	64%	58%	71%	48%	68%	54%	70%	51%	28%	62%	47%	53%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
80.5%		83%	86%	97%	85%	65%	84%	77%	92%	81%	66%	81%	68%	82%
81.0%		87%	81%	85%	67%	80%	83%	71%	76%	82%	85%	86%	77%	93%
78.4%		84%	78%	65%	67%	70%	87%	84%	87%	79%	85%	88%	80%	65%
79.1%		67%	95%	88%	81%	65%	81%	89%	87%	72%	68%	80%	85%	70%
83.7%		84%	94%	87%	88%	82%	83%	91%	89%	78%	78%	78%	78%	78%
90.0%		87%	93%	94%	86%	92%	91%	94%	94%	82%	93%	93%	83%	88%
89.2%		88%	93%	90%	96%	87%	85%	94%	91%	84%	90%	84%	88%	90%
64.5%		60%	62%	65%	85%	58%	71%	72%	65%	72%	47%	61%	57%	63%
71.6%		79%	76%	77%	82%	66%	69%	81%	78%	70%	57%	64%	66%	66%
75.9%		84%	76%	76%	78%	73%	76%	75%	71%	77%	66%	77%	81%	77%
73.2%		72%	79%	79%	75%	72%	64%	72%	75%	76%	70%	64%	75%	78%
78.8%		91%	76%	86%	70%	74%	71%	68%	73%	93%	80%	84%	80%	78%
80.4%		80%	80%	80%	80%	85%	80%	80%	80%	80%	80%	80%	80%	80%
76.7%		87%	88%	87%	51%	89%	68%	62%	85%	54%	73%	85%	81%	87%
84.5%		91%	94%	89%	82%	83%	89%	86%	79%	81%	65%	89%	81%	90%
74.8%		75%	84%	85%	73%	77%	73%	86%	82%	71%	60%	78%	61%	68%
81.2%		85%	79%	84%	77%	92%	80%	82%	78%	77%	74%	81%	85%	82%
85.8%		93%	85%	91%	84%	91%	88%	85%	82%	84%	69%	88%	85%	91%
86.0%		90%	87%	92%	82%	94%	72%	70%	87%	84%	80%	90%	93%	97%
94.1%		95%	97%	98%	87%	89%	92%	98%	91%	97%	94%	95%	96%	94%
85.7%		86%	91%	90%	91%	78%	83%	87%	90%	81%	85%	85%	83%	84%
89.5%		89%	89%	89%	89%	95%	89%	89%	89%	89%	89%	89%	89%	89%
80.3%		78%	80%	84%	78%	78%	85%	84%	87%	78%	78%	78%	78%	78%
87.9%		86%	86%	93%	91%	84%	88%	91%	93%	91%	81%	78%	90%	91%
78.8%		84%	87%	83%	67%	76%	83%	86%	87%	82%	69%	70%	76%	74%
88.3%		94%	88%	95%	92%	84%	98%	96%	71%	88%	90%	90%	72%	90%
83.2%		83%	84%	80%	82%	84%	82%	84%	81%	85%	87%	85%	82%	82%
85.2%		85%	84%	85%	83%	80%	84%	87%	86%	85%	88%	87%	87%	86%
78.2%		81%	83%	81%	83%	80%	84%	85%	84%	83%	68%	68%	68%	68%
75.9%		92%	68%	69%	78%	68%	77%	71%	71%	82%	87%	71%	73%	80%
77.6%		91%	79%	88%	91%	66%	72%	84%	78%	77%	77%	71%	71%	64%
82.7%		82%	83%	82%	90%	65%	78%	88%	94%	94%	83%	77%	76%	83%
62.8%		64%	64%	63%	71%	51%	66%	65%	62%	70%	66%	59%	60%	56%
75.6%		77%	88%	88%	91%	69%	52%	81%	77%	75%	77%	62%	69%	77%
81.5%		92%	94%	85%	89%	94%	69%	90%	74%	73%	51%	69%	94%	85%
84.2%		79%	85%	87%	83%	81%	82%	82%	92%	86%	86%	86%	83%	82%
60.4%		58%	64%	68%	56%	74%	68%	54%	55%	56%	61%	59%	53%	59%
81.7%		85%	88%	80%	81%	77%	85%	83%	93%	69%	83%	87%	77%	74%
71.0%		77%	74%	75%	39%	77%	66%	49%	75%	68%	87%	87%	71%	78%
81.5%		83%	78%	83%	88%	76%	79%	85%	86%	84%	52%	86%	93%	86%
81.6%		90%	90%	95%	94%	57%	90%	96%	96%	74%	61%	71%	74%	73%
83.9%		87%	90%	87%	89%	76%	87%	87%	84%	83%	78%	77%	76%	90%
81.5%		81%	85%	92%	89%	73%	83%	88%	87%	86%	67%	68%	71%	90%
84.8%		81%	87%	87%	84%	78%	87%	88%	85%	91%	88%	90%	77%	79%
88.8%		97%	88%	91%	91%	90%	88%	93%	91%	68%	86%	88%	92%	91%
83.8%		83%	86%	86%	94%	70%	82%	86%	84%	93%	90%	78%	73%	84%
83.9%		81%	81%	81%	85%	86%	82%	85%	83%	86%	86%	81%	89%	85%
85.5%		90%	83%	91%	88%	73%	82%	91%	93%	88%	88%	88%	70%	86%
75.2%		85%	68%	80%	84%	64%	80%	82%	82%	82%	73%	81%	66%	50%
69.9%		59%	74%	74%	91%	53%	83%	89%	88%	66%	61%	60%	54%	57%
74.6%		62%	69%	66%	89%	78%	90%	75%	69%	74%	52%	92%	82%	72%
76.0%		85%	83%	79%	87%	0%	87%	86%	84%	82%	83%	61%	88%	83%
81.5%		75%	88%	83%	91%	90%	68%	92%	72%	77%	68%	94%	82%	80%
85.1%		91%	89%	85%	84%	76%	93%	81%	85%	88%	68%	90%	87%	89%
86.5%		84%	86%	88%	92%	86%	89%	85%	92%	93%	71%	82%	93%	84%
87.9%		89%	94%	91%	93%	87%	88%	89%	92%	82%	89%	87%	83%	79%
86.9%		83%	85%	85%	85%	75%	85%	84%	85%	83%	88%	95%	99%	98%
80.2%		80%	78%	86%	80%	85%	74%	75%	80%	80%	79%	80%	83%	83%