DTeval

A Collective Intelligence Project

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Analysis: Gd4 Dtef Global Dialogues Gd4 AgeGroup%3A36 45 - Run 421d1c9...

Global Dialogues GD4 - 36-45

DTEF: Predict response distributions for 36-45. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

AI Safety & Robustness

Social interaction

Economics & Finance

Public Sector & Governance

Child Safety & Protection

Best Models (Coverage)

1.GPT 4.1
82.3%
2.Claude Haiku 4.5
82.2%
3.Claude Sonnet 4.5
82.1%
4.Claude Sonnet 4
81.8%
5.GPT 4.1 Mini
81.6%

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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		2nd 82.2%	4th 81.8%	3rd 82.1%	6th 81.1%	13th 77.8%	8th 80.7%	9th 80.2%	1st 82.3%	5th 81.6%	12th 78.0%	10th 79.1%	11th 78.2%	7th 80.8%
65.5%		69%	66%	82%	71%	44%	58%	64%	64%	72%	71%	60%	69%	62%
67.1%		65%	69%	69%	75%	47%	57%	58%	91%	73%	73%	69%	57%	69%
85.4%		84%	86%	78%	95%	86%	90%	85%	87%	91%	80%	83%	79%	86%
82.5%		87%	84%	86%	85%	81%	84%	84%	83%	82%	75%	83%	78%	81%
64.7%		71%	70%	70%	66%	53%	64%	65%	68%	64%	60%	58%	61%	71%
85.1%		85%	86%	85%	90%	80%	83%	89%	85%	88%	91%	89%	80%	75%
65.3%		72%	72%	76%	69%	62%	74%	54%	54%	71%	42%	57%	73%	73%
79.8%		78%	78%	69%	74%	89%	82%	76%	81%	80%	78%	87%	79%	86%
84.5%		88%	83%	84%	74%	88%	90%	76%	94%	85%	89%	86%	76%	85%
78.5%		84%	59%	56%	73%	90%	73%	64%	88%	90%	91%	91%	78%	84%
86.1%		86%	86%	88%	88%	81%	85%	83%	88%	89%	88%	89%	81%	87%
89.5%		96%	92%	92%	94%	88%	93%	93%	95%	95%	64%	88%	87%	87%
85.2%		83%	84%	81%	83%	92%	80%	92%	89%	87%	90%	84%	79%	84%
68.1%		79%	70%	74%	68%	74%	68%	62%	66%	58%	68%	59%	68%	71%
72.0%		67%	72%	70%	57%	81%	78%	73%	78%	80%	73%	74%	61%	72%
85.0%		91%	81%	97%	97%	79%	89%	88%	95%	89%	74%	74%	74%	77%
84.9%		92%	85%	86%	92%	80%	91%	89%	83%	76%	91%	73%	78%	88%
88.5%		87%	91%	84%	90%	88%	88%	91%	89%	94%	86%	85%	91%	87%
89.4%		92%	91%	90%	95%	87%	84%	87%	94%	87%	77%	94%	91%	93%
75.7%		79%	72%	72%	74%	72%	79%	78%	69%	78%	80%	80%	73%	78%
86.4%		89%	89%	80%	94%	92%	87%	86%	85%	82%	82%	85%	86%	86%
90.5%		96%	89%	89%	91%	92%	86%	94%	91%	92%	75%	94%	93%	95%
79.6%		77%	78%	90%	74%	79%	80%	80%	78%	80%	88%	77%	80%	74%
66.8%		73%	71%	85%	70%	59%	72%	79%	77%	73%	57%	47%	50%	56%
84.6%		84%	83%	82%	78%	92%	85%	81%	86%	84%	87%	83%	85%	90%
68.5%		75%	52%	69%	76%	73%	71%	70%	56%	70%	52%	60%	84%	82%
85.3%		83%	82%	80%	85%	92%	85%	89%	82%	90%	87%	80%	89%	85%
78.6%		71%	80%	80%	85%	60%	79%	79%	85%	79%	82%	86%	74%	82%
85.1%		91%	94%	90%	90%	65%	91%	90%	93%	87%	86%	80%	73%	76%
80.5%		83%	80%	89%	92%	65%	82%	81%	81%	85%	83%	72%	74%	79%
84.8%		85%	84%	89%	90%	84%	86%	85%	87%	83%	91%	88%	79%	72%
86.2%		88%	87%	79%	88%	89%	86%	86%	89%	82%	86%	91%	86%	83%
71.3%		69%	74%	83%	82%	72%	71%	88%	74%	69%	74%	58%	53%	60%
73.2%		72%	72%	87%	88%	71%	80%	77%	79%	75%	65%	66%	53%	66%
80.5%		80%	85%	80%	88%	87%	72%	64%	71%	76%	84%	86%	90%	84%
83.6%		82%	83%	86%	78%	85%	82%	84%	86%	84%	86%	86%	84%	81%
79.5%		85%	86%	59%	74%	88%	82%	71%	73%	75%	75%	93%	91%	81%
81.8%		85%	86%	84%	76%	79%	74%	74%	87%	86%	79%	80%	84%	90%
82.7%		79%	85%	83%	84%	79%	79%	84%	82%	84%	85%	85%	83%	83%
75.6%		69%	75%	75%	74%	79%	67%	71%	73%	75%	80%	75%	83%	87%
86.0%		90%	94%	93%	91%	77%	91%	86%	88%	88%	73%	86%	69%	92%
82.0%		91%	90%	89%	79%	90%	76%	78%	79%	89%	76%	71%	87%	71%
81.5%		87%	89%	89%	87%	68%	80%	92%	81%	87%	87%	66%	61%	86%
76.2%		78%	82%	71%	72%	73%	90%	84%	88%	71%	71%	73%	74%	63%
81.9%		84%	87%	88%	83%	84%	87%	75%	86%	77%	73%	80%	78%	83%
87.9%		80%	87%	86%	86%	93%	94%	94%	92%	89%	74%	85%	93%	90%
84.2%		95%	97%	92%	91%	70%	93%	80%	85%	79%	79%	82%	77%	75%
88.9%		92%	88%	88%	82%	92%	86%	82%	88%	86%	89%	96%	96%	91%
86.6%		87%	86%	76%	89%	89%	97%	86%	81%	85%	88%	84%	88%	90%
84.5%		90%	87%	87%	89%	80%	89%	87%	92%	79%	68%	84%	80%	86%
86.5%		94%	90%	91%	92%	84%	80%	84%	89%	85%	75%	86%	85%	89%
69.1%		67%	79%	78%	73%	64%	63%	77%	85%	65%	63%	65%	59%	60%
73.2%		79%	77%	77%	81%	69%	62%	70%	67%	75%	76%	65%	73%	81%
66.9%		69%	70%	63%	71%	70%	64%	71%	71%	72%	72%	53%	61%	63%
82.4%		77%	83%	93%	77%	69%	86%	87%	83%	86%	83%	86%	79%	82%
79.5%		78%	80%	82%	81%	76%	76%	86%	87%	77%	85%	70%	72%	84%
73.2%		75%	84%	84%	59%	60%	86%	75%	87%	68%	83%	63%	60%	68%
89.7%		90%	88%	88%	84%	91%	86%	90%	95%	93%	92%	93%	83%	93%
67.5%		72%	69%	79%	86%	61%	71%	69%	71%	70%	56%	56%	48%	69%
83.3%		84%	85%	89%	86%	94%	83%	77%	83%	85%	81%	82%	85%	69%
85.9%		92%	90%	90%	87%	79%	87%	90%	93%	88%	83%	70%	77%	91%
69.1%		72%	73%	76%	71%	53%	68%	74%	70%	66%	77%	60%	67%	71%
87.8%		94%	91%	90%	82%	90%	93%	91%	91%	89%	78%	82%	83%	87%
84.6%		84%	85%	87%	76%	87%	82%	82%	84%	87%	87%	87%	82%	90%
83.1%		76%	81%	87%	81%	82%	84%	82%	82%	82%	91%	91%	83%	78%
91.3%		91%	94%	93%	95%	84%	94%	91%	97%	92%	96%	87%	80%	93%
79.8%		90%	80%	83%	92%	61%	82%	88%	86%	78%	86%	71%	64%	76%
80.4%		86%	82%	79%	80%	79%	76%	76%	74%	84%	75%	82%	84%	88%
77.5%		75%	78%	81%	77%	74%	82%	79%	82%	73%	75%	77%	80%	75%
92.0%		92%	85%	92%	94%	92%	87%	95%	92%	95%	92%	91%	90%	99%
88.3%		91%	89%	95%	91%	90%	88%	82%	88%	84%	87%	87%	87%	89%
82.8%		86%	82%	82%	72%	93%	84%	64%	91%	86%	84%	85%	83%	85%
89.5%		95%	94%	82%	89%	85%	97%	83%	89%	88%	91%	89%	87%	94%
74.4%		89%	83%	85%	80%	59%	67%	85%	87%	69%	66%	69%	60%	68%
80.3%		79%	82%	80%	82%	83%	80%	79%	77%	80%	77%	78%	80%	87%
82.2%		84%	82%	74%	79%	89%	85%	79%	74%	84%	81%	85%	84%	89%
86.3%		88%	91%	90%	88%	87%	90%	85%	88%	89%	78%	88%	80%	80%
80.2%		85%	80%	81%	81%	60%	81%	82%	83%	86%	86%	74%	83%	80%
83.5%		86%	83%	84%	77%	85%	81%	83%	85%	88%	85%	85%	83%	81%
82.0%		79%	87%	89%	77%	76%	83%	81%	83%	84%	80%	82%	84%	81%
90.3%		84%	88%	87%	89%	98%	84%	89%	89%	99%	85%	95%	89%	98%
89.7%		96%	91%	87%	94%	85%	91%	95%	94%	94%	70%	92%	91%	86%
78.7%		83%	75%	75%	71%	91%	83%	81%	73%	76%	70%	84%	83%	78%
90.8%		94%	90%	92%	93%	88%	85%	96%	89%	88%	90%	93%	93%	90%
75.0%		79%	83%	89%	0%	76%	87%	85%	84%	83%	72%	83%	80%	74%
79.8%		80%	80%	81%	71%	78%	78%	82%	81%	82%	82%	81%	79%	82%
78.4%		80%	84%	85%	80%	82%	73%	72%	72%	76%	71%	75%	84%	85%
78.8%		79%	77%	77%	83%	74%	74%	77%	85%	83%	70%	85%	80%	80%
81.2%		85%	88%	89%	88%	82%	86%	84%	79%	77%	49%	73%	87%	88%
83.8%		92%	86%	81%	93%	76%	84%	79%	81%	85%	75%	77%	90%	91%
74.5%		69%	69%	68%	71%	72%	73%	84%	78%	78%	84%	73%	70%	79%
54.8%		60%	60%	53%	70%	49%	47%	36%	62%	54%	38%	54%	72%	57%
69.9%		82%	67%	67%	67%	63%	56%	63%	63%	69%	74%	82%	87%	69%
84.1%		85%	88%	88%	89%	64%	94%	90%	85%	86%	79%	86%	79%	80%
70.5%		75%	76%	69%	72%	77%	76%	73%	66%	68%	56%	71%	70%	67%
82.0%		80%	86%	85%	80%	87%	79%	66%	89%	84%	72%	86%	85%	87%
80.8%		81%	83%	88%	64%	84%	81%	77%	82%	79%	76%	89%	86%	81%
87.1%		77%	84%	82%	79%	95%	89%	86%	83%	94%	87%	95%	93%	88%
79.1%		79%	90%	93%	92%	54%	77%	81%	91%	83%	70%	70%	64%	84%
81.1%		89%	88%	88%	88%	68%	76%	77%	90%	85%	70%	72%	84%	79%
74.1%		67%	80%	91%	76%	65%	70%	83%	87%	75%	72%	72%	56%	69%
80.9%		71%	78%	86%	86%	80%	77%	86%	80%	85%	90%	73%	76%	84%
60.7%		74%	53%	61%	66%	61%	52%	54%	44%	62%	58%	58%	76%	70%
74.0%		69%	71%	69%	89%	68%	69%	71%	72%	71%	82%	79%	78%	74%
85.5%		92%	83%	77%	87%	72%	93%	90%	90%	92%	81%	94%	79%	82%
90.5%		98%	90%	79%	91%	87%	97%	90%	97%	98%	80%	86%	89%	95%
84.5%		92%	92%	97%	93%	75%	76%	92%	95%	87%	84%	80%	52%	84%
68.8%		67%	66%	80%	75%	49%	69%	77%	85%	76%	69%	62%	53%	66%
80.6%		82%	85%	85%	82%	75%	88%	83%	85%	74%	67%	76%	82%	84%
80.4%		69%	77%	84%	86%	82%	84%	79%	85%	93%	85%	79%	71%	71%
81.9%		84%	78%	65%	78%	92%	78%	70%	76%	70%	94%	94%	93%	93%
83.5%		84%	83%	83%	91%	71%	84%	81%	78%	90%	85%	91%	80%	84%
75.2%		76%	71%	65%	79%	72%	80%	78%	62%	76%	79%	77%	83%	79%
87.2%		88%	88%	88%	77%	91%	90%	82%	86%	89%	89%	89%	89%	87%
92.2%		95%	91%	98%	81%	90%	100%	96%	92%	99%	85%	85%	95%	92%
82.7%		78%	91%	86%	83%	86%	87%	76%	89%	83%	79%	79%	82%	76%