DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A56 65 C10 - Run cbf7c13...

Global Dialogues GD3 - 56-65 (10 context Qs)

DTEF: Predict response distributions for 56-65. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Demographic Data Analysis

Instruction Following & Prompt Adherence

Reasoning

Factual Accuracy & Hallucination

Best Models (Coverage)

1.Claude 3.7 Sonnet
79.1%
2.Mistral Large 2411
78.4%
3.Claude Sonnet 4.5
78.3%
4.GPT 5.1
77.3%
5.Claude Sonnet 4
77.1%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

63.1% similarity

👯 Most Similar Models

Llama 4 MaverickvsGPT 4o

91.5% similarity

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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

	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
Score	1st 79.1%	9th 76.4%	5th 77.1%	3rd 78.3%	10th 75.8%	19th 72.0%	11th 75.7%	2nd 78.4%	8th 76.5%	13th 75.3%	12th 75.4%	15th 74.0%	7th 76.7%	17th 73.4%	6th 77.0%	4th 77.3%	16th 73.4%	20th 71.5%	18th 72.7%	14th 74.1%	21st 66.0%
82.5%	85%	85%	80%	80%	85%	72%	74%	90%	80%	80%	80%	86%	86%	84%	86%	85%	81%	88%	77%	87%
63.0%	65%	61%	62%	64%	54%	66%	63%	63%	63%	66%	65%	68%	62%	63%	61%	58%	61%	60%	64%	72%
75.8%	76%	74%	80%	68%	68%	80%	77%	82%	70%	77%	78%	82%	73%	76%	73%	73%	77%	70%	70%	91%
84.5%	94%	68%	79%	90%	81%	85%	91%	90%	81%	94%	90%	90%	94%	82%	82%	82%	73%	78%	76%	90%
83.3%	67%	83%	75%	75%	75%	80%	83%	92%	85%	78%	83%	95%	87%	90%	84%	86%	95%	91%	79%	83%
86.1%	95%	95%	95%	94%	99%	86%	79%	83%	83%	87%	86%	78%	82%	73%	95%	92%	83%	87%	76%	74%
67.1%	67%	61%	59%	63%	61%	69%	58%	74%	65%	70%	67%	80%	70%	75%	76%	63%	84%	82%	60%	55%	51%
73.2%	80%	75%	76%	76%	70%	50%	71%	80%	83%	76%	68%	92%	73%	60%	86%	84%	63%	87%	54%	60%
77.3%	83%	79%	71%	71%	74%	67%	70%	74%	72%	83%	79%	86%	75%	76%	79%	85%	86%	77%	79%	81%
85.5%	90%	78%	75%	86%	90%	90%	81%	88%	85%	83%	90%	90%	90%	90%	78%	81%	90%	77%	90%	90%	83%
75.0%	91%	74%	91%	82%	74%	91%	86%	96%	82%	69%	79%	86%	65%	57%	65%	74%	61%	46%	83%	48%
66.0%	81%	66%	67%	75%	73%	74%	67%	63%	67%	53%	67%	69%	62%	68%	62%	65%	60%	50%	71%	61%
76.4%	78%	78%	80%	80%	81%	82%	80%	75%	87%	82%	82%	58%	80%	81%	75%	81%	58%	61%	90%	58%
76.4%	69%	84%	69%	84%	75%	76%	63%	87%	84%	72%	84%	60%	84%	81%	84%	83%	76%	86%	81%	67%	56%
82.7%	90%	86%	77%	91%	89%	83%	83%	79%	88%	77%	90%	80%	83%	74%	88%	86%	84%	66%	81%	78%
75.3%	81%	78%	78%	81%	82%	68%	74%	78%	75%	74%	72%	71%	76%	68%	77%	81%	78%	68%	66%	80%
75.8%	82%	83%	83%	90%	70%	70%	80%	74%	78%	71%	74%	82%	62%	74%	82%	82%	68%	61%	74%	76%
54.9%	65%	59%	61%	61%	62%	35%	47%	67%	56%	51%	41%	37%	59%	46%	58%	55%	60%	65%	46%	66%
65.4%	70%	48%	70%	67%	80%	46%	67%	65%	69%	78%	65%	48%	65%	59%	69%	72%	58%	70%	50%	91%
67.1%	70%	69%	70%	70%	64%	70%	69%	68%	74%	69%	72%	61%	72%	57%	61%	62%	61%	64%	74%	65%
75.5%	82%	82%	71%	71%	72%	60%	82%	81%	82%	66%	77%	69%	82%	67%	81%	82%	85%	79%	55%	83%
85.0%	90%	83%	81%	83%	88%	71%	94%	88%	94%	81%	73%	85%	90%	84%	94%	89%	85%	80%	73%	94%
69.1%	72%	71%	72%	72%	71%	77%	68%	68%	65%	73%	71%	69%	68%	74%	66%	63%	64%	65%	68%	65%
78.5%	79%	83%	82%	82%	93%	78%	78%	81%	82%	79%	81%	60%	79%	84%	78%	85%	67%	70%	89%	59%
71.2%	72%	72%	73%	73%	71%	64%	70%	76%	73%	71%	76%	54%	74%	68%	70%	73%	75%	79%	74%	66%
68.4%	69%	67%	70%	70%	69%	66%	63%	64%	69%	70%	63%	69%	75%	67%	71%	78%	68%	66%	66%
63.4%	75%	65%	60%	62%	65%	48%	54%	70%	67%	69%	51%	53%	73%	50%	71%	73%	69%	61%	59%	72%
83.3%	93%	90%	87%	91%	75%	62%	89%	93%	84%	89%	85%	83%	86%	69%	91%	91%	87%	72%	70%	79%
73.6%	84%	74%	92%	90%	78%	69%	85%	75%	69%	64%	66%	64%	64%	63%	78%	78%	70%	65%	78%	72%	67%
73.2%	70%	78%	79%	83%	72%	57%	65%	82%	73%	69%	68%	82%	68%	64%	76%	71%	76%	58%	80%	93%
77.4%	83%	77%	79%	79%	72%	74%	86%	77%	83%	75%	85%	85%	83%	74%	70%	82%	71%	60%	85%	68%
79.8%	78%	80%	74%	87%	87%	74%	77%	73%	85%	77%	77%	73%	81%	79%	77%	81%	76%	87%	85%	89%
84.3%	86%	84%	90%	77%	77%	90%	87%	91%	79%	87%	87%	91%	83%	85%	79%	87%	85%	85%	79%	77%
72.1%	76%	74%	73%	82%	85%	73%	72%	69%	72%	77%	61%	61%	72%	67%	79%	77%	73%	73%	65%	61%
67.6%	69%	77%	76%	69%	49%	56%	70%	75%	70%	60%	69%	67%	72%	72%	71%	67%	69%	72%	48%	70%	71%
71.5%	70%	77%	77%	78%	63%	75%	74%	74%	64%	81%	77%	70%	75%	73%	59%	64%	73%	63%	66%	77%
84.4%	89%	90%	90%	91%	94%	75%	91%	81%	87%	85%	84%	86%	89%	93%	89%	87%	70%	65%	83%	69%
89.4%	91%	90%	91%	91%	90%	97%	91%	95%	88%	88%	94%	74%	94%	88%	93%	93%	73%	95%	90%	83%
79.8%	82%	82%	88%	89%	73%	74%	86%	86%	89%	83%	81%	84%	85%	76%	86%	76%	61%	62%	80%	72%
61.9%	63%	61%	67%	55%	55%	67%	64%	68%	57%	64%	64%	68%	60%	63%	60%	64%	63%	63%	57%	55%
75.7%	82%	80%	82%	77%	76%	79%	78%	82%	75%	76%	78%	56%	77%	78%	72%	78%	79%	69%	64%	75%
81.0%	84%	78%	79%	83%	88%	81%	87%	80%	83%	82%	78%	92%	87%	90%	85%	73%	74%	72%	83%	73%	68%
84.3%	83%	87%	83%	83%	89%	87%	83%	73%	73%	81%	85%	87%	79%	93%	94%	84%	87%	81%	87%	87%

Model Similarity Dendrogram

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