DTeval

A Collective Intelligence Project

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Analysis: Gd6 C10 Dtef Global Dialogues Gd6 AgeGroup%3A18 25 C10 - Run 61f702a...

Global Dialogues GD6 - 18-25 (10 context Qs)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Economic Disruption & Reskilling Advice

Social interaction

Metacognition and critical thinking

Best Models (Coverage)

1.Claude Sonnet 4.5
82.0%
2.Claude Sonnet 4
81.7%
3.GPT 4.1
81.0%
4.Claude Haiku 4.5
80.5%
5.Gemini 2.5 Flash
80.2%

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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		4th 80.5%	2nd 81.7%	1st 82.0%	5th 80.2%	13th 75.6%	9th 79.3%	6th 79.7%	3rd 81.0%	8th 79.4%	12th 76.8%	11th 77.7%	10th 78.3%	7th 79.5%
38.4%		31%	58%	59%	47%	27%	33%	38%	49%	31%	30%	32%	33%	31%
80.8%		80%	89%	91%	84%	74%	78%	84%	85%	80%	76%	79%	75%	75%
91.7%		91%	92%	93%	94%	90%	89%	93%	94%	93%	95%	93%	93%	82%
88.7%		90%	91%	89%	86%	78%	84%	91%	89%	91%	86%	91%	92%	95%
84.2%		92%	79%	85%	95%	95%	78%	81%	81%	77%	79%	77%	94%	82%
87.4%		82%	95%	94%	88%	90%	93%	88%	85%	91%	82%	78%	82%	88%
77.2%		86%	71%	59%	74%	72%	70%	73%	69%	88%	84%	84%	87%	87%
74.2%		76%	64%	79%	64%	63%	81%	72%	80%	78%	77%	77%	77%	77%
76.6%		64%	64%	81%	91%	84%	90%	90%	64%	64%	78%	64%	81%	81%
79.8%		84%	80%	81%	85%	74%	80%	87%	84%	80%	73%	77%	74%	78%
84.8%		83%	87%	84%	95%	69%	81%	86%	94%	87%	87%	89%	78%	82%
83.6%		86%	82%	86%	87%	76%	86%	89%	85%	77%	83%	77%	89%	84%
78.6%		91%	84%	84%	90%	76%	66%	74%	78%	78%	74%	75%	72%	80%
89.5%		95%	95%	94%	96%	88%	96%	90%	91%	96%	72%	74%	87%	90%
60.5%		73%	67%	62%	62%	54%	67%	62%	55%	44%	75%	50%	48%	68%
83.4%		90%	90%	90%	88%	69%	81%	86%	85%	86%	84%	86%	64%	85%
81.2%		76%	87%	87%	85%	78%	84%	82%	94%	73%	87%	86%	75%	62%
61.0%		82%	65%	54%	56%	69%	63%	51%	49%	54%	68%	51%	66%	65%
83.5%		85%	85%	86%	98%	74%	83%	95%	80%	87%	80%	76%	74%	83%
67.1%		85%	84%	85%	71%	63%	70%	67%	61%	55%	53%	50%	61%	67%
87.1%		81%	90%	93%	88%	89%	79%	92%	92%	94%	74%	89%	87%	84%
75.0%		84%	79%	79%	77%	56%	74%	76%	84%	75%	79%	71%	69%	72%
76.6%		87%	78%	91%	86%	67%	78%	85%	85%	68%	60%	69%	68%	74%
74.2%		75%	69%	71%	61%	80%	60%	76%	64%	86%	86%	82%	80%	75%
43.9%		29%	40%	76%	39%	43%	47%	50%	45%	36%	35%	47%	44%	40%
84.0%		90%	88%	82%	76%	78%	86%	87%	83%	83%	80%	90%	80%	89%
85.2%		85%	93%	85%	83%	85%	85%	86%	89%	79%	65%	88%	96%	89%
76.2%		80%	84%	89%	88%	66%	66%	79%	74%	79%	56%	77%	80%	73%
85.6%		90%	85%	84%	82%	85%	87%	80%	91%	83%	83%	90%	82%	91%
74.5%		92%	91%	92%	76%	40%	89%	80%	83%	63%	62%	59%	76%	66%
86.8%		79%	88%	85%	92%	80%	90%	93%	95%	90%	86%	86%	87%	77%
82.8%		89%	93%	92%	84%	77%	92%	87%	90%	83%	76%	76%	68%	69%
79.3%		88%	80%	80%	92%	94%	62%	66%	83%	80%	76%	74%	78%	78%
87.4%		88%	89%	88%	89%	89%	87%	88%	87%	92%	81%	93%	83%	82%
84.5%		84%	88%	76%	76%	88%	92%	81%	86%	88%	79%	89%	85%	86%
84.5%		88%	88%	80%	84%	75%	85%	86%	89%	84%	88%	85%	81%	85%
91.0%		90%	93%	89%	95%	91%	92%	90%	85%	87%	96%	87%	93%	95%
76.0%		65%	72%	73%	47%	81%	74%	78%	71%	87%	86%	85%	83%	86%
90.0%		88%	96%	95%	82%	88%	84%	86%	94%	95%	92%	86%	89%	95%
68.6%		72%	72%	83%	79%	46%	60%	72%	73%	67%	68%	59%	76%	65%
79.8%		85%	83%	81%	79%	53%	87%	87%	87%	83%	82%	86%	75%	70%
71.8%		81%	82%	80%	49%	73%	60%	55%	66%	55%	72%	73%	94%	93%
75.5%		60%	80%	64%	84%	81%	80%	62%	76%	77%	74%	89%	77%	78%
83.7%		84%	92%	91%	90%	71%	83%	80%	87%	82%	80%	76%	84%	88%
88.2%		92%	85%	91%	92%	87%	83%	84%	87%	96%	80%	92%	89%	88%
67.5%		68%	62%	73%	87%	44%	67%	82%	72%	77%	52%	70%	58%	66%
79.4%		75%	70%	67%	74%	89%	70%	78%	74%	94%	83%	87%	89%	82%
78.2%		71%	75%	70%	58%	91%	72%	74%	84%	85%	82%	89%	82%	83%
83.5%		81%	84%	84%	83%	84%	79%	82%	85%	85%	87%	86%	85%	81%
86.1%		88%	85%	86%	90%	75%	93%	91%	88%	91%	90%	87%	77%	78%
73.5%		77%	73%	70%	69%	76%	76%	78%	72%	75%	75%	70%	70%	74%
77.4%		87%	81%	82%	73%	70%	86%	84%	83%	77%	79%	64%	65%	75%
80.4%		84%	78%	79%	82%	85%	75%	75%	76%	83%	80%	86%	79%	83%
82.1%		90%	88%	94%	86%	74%	90%	75%	88%	79%	70%	76%	80%	77%
84.4%		88%	85%	89%	83%	84%	84%	77%	85%	83%	69%	89%	95%	86%
80.2%		82%	89%	95%	85%	50%	78%	88%	90%	83%	56%	86%	73%	87%
76.5%		92%	82%	80%	85%	73%	68%	72%	85%	76%	75%	64%	67%	76%
72.1%		80%	70%	75%	87%	59%	74%	85%	72%	75%	68%	62%	62%	68%
84.6%		90%	90%	91%	81%	80%	92%	86%	86%	82%	72%	73%	87%	90%
83.2%		86%	81%	84%	84%	75%	89%	82%	90%	79%	85%	86%	81%	79%
72.6%		77%	79%	81%	78%	59%	69%	76%	77%	61%	75%	67%	76%	69%
86.8%		92%	90%	90%	85%	87%	85%	86%	89%	85%	90%	87%	84%	78%
80.5%		70%	77%	70%	76%	80%	79%	82%	85%	85%	82%	88%	88%	84%
77.5%		79%	74%	76%	49%	86%	75%	75%	85%	85%	68%	86%	83%	86%
84.4%		92%	89%	94%	86%	76%	91%	74%	93%	81%	82%	77%	81%	81%
82.9%		79%	86%	89%	60%	89%	86%	91%	79%	90%	90%	72%	83%	84%
80.8%		77%	87%	87%	83%	88%	81%	80%	82%	72%	76%	79%	83%	76%
82.8%		80%	75%	77%	77%	81%	82%	83%	82%	93%	83%	89%	86%	88%
83.6%		87%	85%	86%	83%	76%	80%	87%	85%	84%	79%	73%	83%	99%
71.3%		0%	77%	67%	69%	86%	77%	84%	67%	88%	76%	79%	75%	82%
88.8%		89%	87%	90%	90%	88%	89%	92%	93%	91%	81%	95%	86%	83%
86.5%		93%	92%	96%	90%	81%	85%	82%	74%	77%	90%	78%	93%	93%
60.5%		51%	70%	57%	68%	46%	66%	65%	77%	69%	48%	64%	49%	56%
84.6%		89%	78%	74%	81%	82%	77%	83%	79%	99%	88%	89%	91%	90%
84.8%		90%	88%	88%	86%	90%	78%	83%	74%	81%	86%	86%	86%	86%
84.5%		86%	86%	84%	80%	80%	81%	83%	81%	86%	90%	90%	85%	86%
97.0%		97%	97%	97%	97%	97%	97%	97%	97%	97%	97%	97%	97%	97%
71.5%		47%	78%	83%	91%	67%	75%	78%	80%	60%	76%	74%	60%	61%
85.2%		88%	82%	82%	91%	78%	89%	89%	85%	85%	91%	86%	81%	81%
58.2%		67%	67%	67%	72%	46%	61%	46%	67%	64%	46%	31%	49%	73%
71.9%		82%	70%	64%	85%	69%	75%	74%	88%	57%	47%	54%	85%	85%
83.5%		87%	83%	91%	85%	83%	83%	77%	82%	82%	88%	79%	79%	87%
72.8%		81%	77%	77%	75%	55%	71%	73%	81%	72%	77%	69%	68%	71%
84.4%		85%	89%	88%	78%	86%	88%	85%	89%	87%	82%	83%	76%	81%
85.0%		84%	83%	83%	82%	86%	87%	77%	80%	89%	88%	89%	83%	94%
77.3%		79%	78%	79%	78%	68%	82%	79%	78%	80%	82%	79%	70%	73%
75.0%		83%	73%	75%	70%	76%	76%	74%	82%	69%	70%	83%	74%	70%
86.4%		80%	92%	76%	84%	83%	84%	94%	91%	86%	86%	88%	94%	85%
83.9%		86%	91%	92%	82%	97%	90%	90%	88%	78%	71%	67%	82%	77%
87.3%		86%	96%	92%	88%	89%	89%	81%	83%	86%	86%	81%	97%	81%
77.2%		76%	76%	78%	84%	93%	80%	63%	67%	84%	73%	77%	66%	86%