DTeval

A Collective Intelligence Project

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Analysis: Gd4 Dtef Global Dialogues Gd4 AgeGroup%3A46 55 - Run 9011a81...

Global Dialogues GD4 - 46-55

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Social interaction

AI Safety & Robustness

Demographic Processes

General Knowledge

Mental Health & Crisis Support

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4.5
80.5%
2.GPT 4.1 Mini
79.8%
3.Claude Sonnet 4
79.6%
4.Claude Haiku 4.5
79.5%
5.Llama 4 Maverick
79.5%

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Macro Coverage Overview

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

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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		4th 79.5%	3rd 79.6%	1st 80.5%	8th 78.2%	12th 75.8%	5th 79.5%	9th 77.6%	6th 78.9%	2nd 79.8%	10th 76.8%	11th 76.7%	13th 74.9%	7th 78.8%
64.0%		72%	66%	69%	68%	42%	58%	66%	63%	69%	74%	59%	62%	64%
66.3%		65%	68%	68%	77%	42%	56%	62%	84%	79%	70%	67%	54%	70%
83.2%		83%	87%	78%	87%	84%	86%	82%	85%	89%	82%	79%	77%	83%
81.7%		82%	73%	87%	67%	84%	82%	90%	86%	81%	84%	82%	78%	86%
66.8%		71%	75%	75%	67%	57%	64%	70%	68%	62%	65%	64%	60%	71%
78.2%		73%	74%	91%	82%	75%	79%	80%	81%	79%	82%	88%	66%	66%
53.6%		66%	56%	56%	55%	57%	53%	49%	41%	56%	34%	52%	56%	66%
73.0%		65%	71%	61%	68%	87%	69%	68%	76%	78%	77%	76%	73%	80%
79.4%		82%	79%	79%	71%	82%	85%	72%	81%	86%	84%	77%	70%	84%
75.4%		80%	54%	52%	68%	88%	77%	56%	90%	83%	83%	88%	76%	85%
86.2%		91%	89%	95%	75%	84%	90%	87%	90%	85%	82%	85%	78%	90%
83.4%		83%	85%	78%	83%	78%	93%	94%	79%	88%	73%	91%	79%	80%
76.6%		79%	80%	78%	73%	78%	72%	84%	77%	73%	89%	67%	68%	78%
66.5%		81%	68%	72%	78%	63%	64%	59%	65%	56%	66%	57%	66%	69%
73.5%		69%	73%	72%	68%	65%	82%	77%	80%	86%	74%	74%	62%	74%
84.7%		89%	84%	91%	90%	81%	84%	88%	89%	93%	77%	77%	71%	87%
75.2%		83%	76%	77%	82%	73%	81%	80%	75%	69%	74%	67%	67%	73%
86.3%		82%	83%	87%	84%	95%	89%	88%	86%	86%	84%	82%	84%	92%
87.8%		93%	92%	89%	84%	80%	91%	89%	93%	90%	83%	87%	85%	85%
72.5%		76%	65%	62%	77%	64%	73%	70%	64%	80%	78%	80%	73%	80%
88.6%		84%	89%	87%	91%	92%	86%	93%	94%	94%	81%	86%	84%	91%
88.8%		90%	90%	90%	86%	96%	94%	91%	88%	93%	71%	90%	81%	94%
79.0%		76%	79%	91%	83%	76%	83%	83%	71%	73%	93%	71%	77%	71%
69.6%		71%	77%	86%	78%	56%	74%	77%	83%	72%	58%	58%	54%	61%
82.6%		84%	80%	82%	81%	86%	84%	74%	84%	81%	86%	79%	86%	87%
67.0%		72%	54%	70%	69%	67%	77%	60%	51%	68%	59%	68%	82%	74%
79.3%		62%	68%	80%	88%	89%	80%	89%	74%	80%	92%	76%	76%	77%
71.1%		68%	74%	74%	68%	52%	76%	74%	73%	72%	80%	71%	63%	79%
77.0%		83%	87%	87%	87%	59%	82%	78%	86%	76%	78%	64%	65%	69%
78.5%		81%	85%	84%	89%	67%	78%	78%	74%	81%	82%	72%	69%	81%
82.8%		73%	85%	94%	84%	86%	88%	81%	81%	76%	89%	89%	77%	73%
79.5%		84%	83%	75%	78%	81%	80%	76%	77%	77%	78%	82%	83%	79%
75.2%		75%	73%	88%	87%	77%	76%	84%	78%	75%	79%	63%	58%	65%
86.2%		86%	84%	95%	95%	81%	92%	92%	94%	90%	78%	78%	64%	92%
82.0%		82%	87%	81%	81%	88%	84%	62%	78%	79%	88%	87%	83%	86%
79.0%		73%	84%	95%	72%	81%	79%	71%	75%	81%	84%	88%	75%	69%
75.9%		78%	83%	53%	65%	89%	76%	62%	72%	71%	77%	90%	93%	78%
75.2%		80%	80%	82%	73%	81%	60%	75%	74%	74%	72%	71%	71%	85%
85.6%		84%	86%	93%	78%	86%	89%	87%	82%	89%	92%	92%	77%	78%
72.8%		64%	77%	70%	73%	77%	69%	61%	66%	78%	74%	81%	84%	73%
81.6%		78%	88%	76%	78%	85%	86%	81%	71%	89%	82%	85%	75%	87%
76.4%		84%	83%	85%	69%	83%	72%	78%	75%	74%	71%	68%	83%	68%
81.8%		83%	81%	80%	92%	76%	85%	81%	90%	87%	89%	71%	66%	82%
84.2%		84%	91%	94%	87%	80%	88%	90%	87%	83%	80%	80%	79%	72%
83.8%		85%	88%	90%	80%	80%	85%	82%	83%	89%	80%	85%	77%	85%
88.3%		78%	90%	90%	94%	92%	95%	91%	85%	91%	76%	87%	90%	89%
81.2%		88%	85%	83%	90%	73%	85%	85%	84%	81%	68%	77%	82%	75%
85.2%		87%	88%	88%	76%	82%	87%	79%	82%	82%	84%	95%	95%	83%
84.2%		84%	85%	82%	86%	87%	96%	84%	88%	79%	77%	80%	79%	88%
86.8%		95%	85%	86%	87%	73%	93%	94%	88%	90%	81%	84%	81%	92%
80.5%		85%	90%	90%	76%	75%	86%	80%	78%	82%	69%	79%	74%	83%
67.9%		63%	76%	83%	85%	52%	64%	74%	90%	64%	58%	62%	57%	55%
69.6%		67%	73%	73%	84%	60%	59%	71%	63%	74%	76%	66%	62%	77%
74.8%		74%	77%	74%	86%	73%	71%	77%	84%	80%	64%	70%	66%	76%
79.2%		80%	76%	84%	69%	70%	83%	80%	81%	86%	83%	77%	80%	80%
75.2%		67%	73%	78%	82%	68%	76%	79%	81%	70%	84%	69%	70%	80%
73.4%		75%	75%	85%	70%	55%	91%	73%	74%	67%	75%	73%	70%	71%
85.6%		90%	91%	88%	76%	90%	85%	88%	91%	83%	89%	79%	74%	89%
72.7%		78%	75%	84%	88%	59%	74%	78%	84%	74%	58%	61%	55%	77%
82.6%		82%	91%	89%	81%	91%	85%	76%	92%	83%	69%	78%	82%	75%
78.6%		84%	85%	83%	88%	71%	78%	85%	86%	76%	79%	64%	57%	86%
68.2%		75%	74%	77%	71%	48%	70%	72%	69%	64%	77%	58%	67%	64%
86.8%		83%	82%	89%	86%	92%	89%	83%	84%	88%	81%	97%	80%	95%
88.6%		91%	88%	94%	90%	93%	87%	83%	91%	88%	89%	89%	82%	87%
76.2%		69%	78%	90%	80%	79%	74%	77%	64%	66%	90%	83%	72%	68%
82.8%		85%	86%	87%	89%	76%	87%	82%	87%	82%	78%	78%	70%	89%
73.2%		84%	77%	77%	85%	57%	78%	80%	82%	72%	72%	59%	59%	70%
75.3%		84%	76%	73%	67%	78%	73%	71%	71%	78%	73%	76%	76%	83%
77.2%		78%	85%	80%	79%	67%	81%	77%	83%	74%	74%	77%	75%	73%
91.9%		90%	86%	93%	97%	90%	89%	95%	86%	97%	90%	95%	89%	98%
79.9%		84%	76%	77%	82%	83%	84%	81%	74%	82%	82%	78%	72%	84%
79.7%		83%	79%	81%	63%	87%	83%	63%	84%	87%	80%	83%	81%	82%
82.1%		85%	82%	79%	73%	91%	82%	75%	75%	88%	79%	84%	83%	91%
68.2%		78%	81%	84%	73%	54%	70%	75%	73%	71%	56%	56%	57%	58%
81.5%		86%	86%	90%	77%	83%	82%	79%	81%	82%	74%	78%	82%	80%
79.2%		79%	80%	69%	82%	87%	84%	77%	71%	83%	74%	81%	80%	82%
81.7%		83%	73%	76%	85%	80%	85%	84%	76%	86%	83%	86%	83%	82%
71.2%		76%	69%	73%	72%	51%	74%	73%	73%	78%	80%	67%	67%	72%
83.4%		90%	85%	89%	82%	86%	84%	80%	87%	82%	83%	83%	74%	79%
78.5%		80%	80%	81%	71%	72%	79%	77%	76%	82%	80%	77%	83%	83%
88.9%		89%	86%	86%	89%	93%	88%	89%	88%	92%	89%	90%	84%	93%
83.1%		82%	80%	83%	81%	77%	94%	87%	88%	86%	78%	87%	79%	78%
76.3%		82%	83%	81%	74%	80%	82%	68%	74%	75%	72%	73%	73%	75%
86.1%		87%	89%	90%	85%	89%	82%	85%	90%	87%	72%	80%	93%	90%
77.8%		72%	78%	84%	79%	76%	84%	81%	80%	80%	68%	80%	78%	71%
82.9%		86%	82%	84%	82%	86%	81%	81%	85%	85%	83%	83%	78%	82%
83.3%		85%	86%	85%	79%	82%	82%	82%	79%	83%	78%	88%	85%	89%
79.5%		77%	85%	85%	83%	68%	77%	84%	81%	79%	80%	74%	77%	83%
82.7%		87%	87%	82%	79%	90%	87%	85%	90%	84%	54%	78%	88%	84%
80.9%		90%	81%	69%	81%	73%	74%	74%	69%	84%	90%	86%	92%	89%
64.7%		68%	62%	66%	64%	67%	60%	65%	58%	64%	64%	64%	65%	74%
56.2%		50%	57%	51%	68%	54%	44%	46%	72%	55%	49%	54%	74%	57%
63.5%		71%	65%	60%	49%	58%	57%	61%	54%	65%	70%	72%	81%	62%
75.3%		76%	78%	85%	78%	56%	86%	84%	71%	79%	83%	69%	67%	67%
82.5%		83%	88%	91%	75%	83%	86%	82%	89%	83%	78%	78%	80%	77%
82.8%		78%	89%	86%	78%	91%	81%	67%	84%	88%	85%	85%	82%	83%
83.3%		81%	86%	91%	72%	90%	82%	69%	84%	85%	86%	87%	89%	81%
88.2%		91%	93%	79%	78%	92%	91%	84%	86%	91%	89%	92%	89%	91%
76.3%		76%	82%	88%	87%	52%	80%	79%	88%	81%	68%	68%	59%	84%
84.5%		91%	91%	92%	81%	81%	84%	80%	91%	90%	75%	75%	87%	81%
66.2%		77%	77%	84%	0%	71%	74%	74%	75%	73%	64%	63%	61%	68%
79.9%		74%	81%	87%	81%	75%	78%	81%	78%	85%	89%	70%	75%	85%
50.0%		59%	42%	41%	57%	53%	47%	49%	29%	58%	45%	57%	60%	53%
75.5%		70%	73%	70%	84%	68%	75%	75%	74%	77%	86%	78%	77%	75%
81.2%		87%	92%	90%	85%	71%	83%	82%	83%	78%	76%	78%	73%	77%
87.0%		91%	87%	73%	93%	93%	91%	92%	83%	91%	85%	75%	87%	90%
80.9%		87%	87%	83%	85%	69%	77%	85%	90%	90%	86%	76%	53%	84%
75.2%		75%	72%	83%	89%	56%	65%	81%	91%	84%	76%	69%	66%	71%
74.0%		76%	79%	79%	78%	76%	74%	72%	78%	73%	53%	70%	75%	79%
77.2%		74%	77%	77%	84%	83%	84%	71%	88%	81%	80%	69%	65%	71%
75.2%		76%	71%	56%	63%	85%	75%	64%	69%	76%	84%	86%	88%	84%
80.0%		77%	76%	76%	89%	69%	85%	80%	77%	87%	86%	83%	80%	75%
66.4%		71%	52%	52%	69%	72%	80%	61%	52%	73%	59%	73%	75%	74%
82.5%		89%	83%	90%	71%	88%	87%	78%	87%	82%	79%	83%	78%	78%
86.6%		85%	93%	91%	77%	84%	92%	91%	78%	89%	77%	85%	94%	90%
84.8%		87%	88%	90%	86%	86%	83%	84%	83%	85%	80%	87%	83%	80%