DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 Religion%3Abuddhism C10 - Run 5336a18...

Global Dialogues GD3 - Buddhism (10 context Qs)

DTEF: Predict response distributions for Buddhism. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Efficiency & Succinctness

Factual Accuracy & Hallucination

Best Models (Coverage)

1.Claude Sonnet 4
80.4%
2.Claude Sonnet 4.5
80.3%
3.Claude Haiku 4.5
79.2%
4.Claude 3.7 Sonnet
79.1%
5.GPT 5.1
78.5%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

65.8% similarity

👯 Most Similar Models

Claude Sonnet 4vsGPT 4o

89.9% similarity

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Macro Coverage Overview

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

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Not Met

	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	4th 79.1%	3rd 79.2%	1st 80.4%	2nd 80.3%	17th 73.6%	16th 74.0%	6th 77.6%	14th 75.1%	13th 75.9%	12th 76.0%	7th 77.4%	15th 74.7%	8th 77.4%	11th 76.6%	10th 76.8%	5th 78.5%	19th 72.1%	20th 71.4%	9th 77.0%	21st 71.3%	18th 73.0%
88.1%	91%	89%	92%	96%	82%	72%	94%	95%	88%	85%	91%	86%	86%	90%	88%	93%	87%	85%	89%	86%	86%
70.7%	68%	66%	74%	79%	33%	75%	59%	65%	61%	63%	81%	92%	69%	73%	67%	76%	79%	63%	80%	91%	70%
86.4%	98%	83%	95%	87%	76%	89%	87%	89%	80%	93%	91%	69%	95%	89%	93%	87%	80%	90%	77%	82%	85%
78.5%	79%	80%	80%	86%	70%	80%	77%	80%	83%	72%	80%	70%	80%	78%	77%	82%	84%	78%	85%	77%	70%
85.4%	97%	88%	87%	89%	81%	88%	85%	92%	79%	78%	92%	95%	86%	83%	90%	87%	83%	60%	87%	94%	73%
82.3%	75%	81%	75%	78%	72%	87%	88%	83%	92%	83%	81%	93%	86%	90%	70%	85%	90%	83%	85%	80%	72%
85.0%	85%	85%	82%	84%	79%	90%	85%	88%	84%	88%	85%	88%	85%	88%	85%	91%	78%	78%	77%	88%	91%
73.9%	83%	75%	80%	80%	82%	53%	82%	72%	80%	83%	74%	60%	76%	78%	74%	76%	63%	58%	68%	78%	76%
74.1%	68%	80%	73%	73%	82%	73%	90%	80%	94%	66%	83%	78%	78%	82%	60%	61%	61%	69%	82%	66%	58%
71.5%	69%	80%	73%	72%	70%	79%	67%	54%	70%	72%	70%	70%	72%	70%	76%	78%	70%	77%	70%	70%	73%
77.3%	83%	79%	91%	89%	81%	92%	91%	91%	75%	58%	89%	90%	61%	81%	72%	69%	57%	54%	88%	83%	50%
77.5%	80%	88%	86%	83%	87%	82%	82%	71%	77%	74%	74%	82%	76%	78%	71%	78%	55%	75%	82%	65%	82%
66.5%	54%	71%	77%	78%	68%	82%	62%	61%	64%	71%	79%	50%	67%	77%	67%	70%	53%	63%	76%	53%	53%
79.3%	82%	83%	86%	87%	86%	65%	90%	82%	83%	83%	77%	71%	87%	63%	79%	89%	70%	68%	85%		70%
81.2%	87%	85%	87%	91%	87%	77%	84%	81%	79%	81%	81%	79%	84%	79%	85%	81%	74%	74%	77%	71%	81%
82.9%	80%	81%	86%	81%	70%	87%	87%	81%	82%	86%	82%	89%	77%	93%	84%	88%	79%	85%	89%	77%	77%
80.0%	85%	91%	86%	83%	85%	79%	81%	68%	78%	76%	81%	81%	78%	76%	86%	81%	73%		82%	69%	82%
73.8%	84%	75%	77%	77%	77%	39%	68%	84%	68%	76%	70%	73%	72%	68%	75%	82%	82%	68%	74%	83%	78%
61.9%	65%	51%	65%	54%	78%	55%	62%	68%	68%	72%	59%	42%	80%	55%	74%	79%	63%	48%	53%	55%	54%
81.1%	93%	95%	93%	93%	85%	69%	90%	73%	71%	90%	75%	71%	88%	71%	85%	90%	71%	71%	76%	71%	82%
73.2%	71%	73%	82%	84%	73%	69%	72%	64%	80%	75%	76%	69%	74%	81%	76%	72%	66%	73%	66%	74%	68%
75.7%	76%	80%	85%	81%	80%	70%	81%	72%	79%	78%	76%	68%	80%	76%	75%	86%	62%	76%	65%	71%	72%
85.0%	83%	94%	83%	79%	97%	86%	93%	87%	89%	87%	94%	95%	80%	79%	92%	84%	73%	67%	83%	93%	67%
70.7%	72%	77%	82%	82%	70%	81%	69%	63%	73%	67%	81%	60%	68%	78%	64%	73%	64%	51%	70%	60%	80%
67.1%	71%	66%	69%	68%	67%	66%	72%	68%	66%	70%	67%	58%	67%	62%	70%	73%	67%	70%	71%	60%	61%
67.6%	67%	76%	72%	72%	62%	68%	65%	63%	69%	72%	65%	64%	65%	77%	65%	65%	57%	68%	74%	72%	61%
76.8%	93%	81%	76%	81%	71%	54%	74%	92%	69%	84%	64%	77%	88%	64%	86%	78%	77%	85%	72%	83%	64%
87.3%	97%	92%	96%	94%	72%	75%	92%	92%	85%	85%	90%	86%	89%	75%	91%	92%	93%	82%	78%	85%	93%
72.3%	78%	85%	90%	88%	77%	64%	70%	63%	72%	67%	67%	68%	70%	67%	73%	70%	73%	71%	67%	67%	72%
69.6%	77%	70%	73%	77%	81%	66%	58%	67%	71%	69%	71%	60%	75%	71%	75%	71%	61%	78%	71%	63%	56%
74.7%	77%	78%	77%	78%	53%	72%	80%	79%	75%	75%	78%	82%	75%	69%	80%	78%	70%	72%	75%	66%	79%
62.2%	51%	66%	53%	60%	72%	59%	61%	60%	68%	56%	57%	79%	53%	60%	59%	61%	68%	64%	71%	57%	71%
62.5%	73%	58%	70%	63%	52%	64%	62%	64%	55%	67%	66%	46%	70%	64%	57%	62%	66%	67%	53%	66%	67%
76.8%	83%	71%	80%	88%	84%	69%	75%	75%	75%	72%	74%	71%	71%	72%	79%	89%	82%	81%	68%	71%	82%
70.1%	88%	77%	75%	89%	44%	76%	57%	59%	65%	66%	62%	77%	73%	77%	74%	71%	63%	68%	82%	61%	69%
68.0%	69%	73%	76%	75%	37%	79%	69%	73%	62%	70%	67%	77%	67%	80%	58%	67%	59%	65%	80%	60%	66%
75.9%	73%	73%	72%	67%	82%	90%	71%	65%	77%	73%	85%	70%	82%	92%	73%	67%	80%	65%	91%	71%	75%
81.4%	95%	85%	91%	90%	95%	92%	91%	82%	95%	87%	76%	75%	90%	78%	88%	78%	57%	55%	85%	40%	84%
80.7%	80%	82%	86%	80%	80%	78%	85%	78%	85%	80%	85%	82%	85%	74%	86%	86%	78%	72%	81%	83%	69%
92.8%	85%	100%	87%	95%	93%	93%	95%	94%	97%	90%	91%	87%	87%	94%	91%	95%	97%	93%	94%	91%	100%
74.9%	80%	82%	83%	78%	57%	68%	80%	82%	67%	80%	80%	76%	81%	81%	70%	83%	82%	79%	80%	38%	65%
77.2%	84%	82%	74%	74%	70%	59%	81%	78%	72%	75%	82%	75%	80%	82%	86%	80%	80%	80%	73%	77%	77%
71.6%	74%	77%	80%	71%	65%	71%	71%	53%	61%	73%	81%	79%	75%	77%	75%	73%	72%	71%	78%	47%	79%

Model Similarity Dendrogram

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