DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 AgeGroup%3A26 35 Ctx - Run f550bb6...

Global Dialogues GD6 - 26-35 (with context)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Social interaction

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4
88.1%
2.Claude Sonnet 4.5
87.4%
3.GPT 4.1
86.9%
4.Claude Haiku 4.5
85.9%
5.Llama 4 Maverick
85.8%

🤔 Most Differentiating Prompt

User: Consider the following demographic group (sample size: 430): - Age Group: 26-35 Known response patterns for this demographic group: Q: "Overall, would you say the increased use of artificial intelligence (AI) in daily life makes you feel…" Response distribution: More excited than concerned: 36.7%...

σ = 0.221

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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 85.9%	1st 88.1%	2nd 87.4%	6th 85.7%	13th 77.8%	5th 85.8%	7th 84.6%	3rd 86.9%	9th 83.8%	12th 78.7%	10th 82.5%	11th 82.2%	8th 84.0%
72.5%		82%	75%	82%	78%	43%	81%	83%	80%	74%	60%	63%	68%	73%
81.2%		83%	86%	88%	85%	78%	75%	84%	84%	79%	77%	83%	76%	78%
81.2%		81%	88%	90%	89%	77%	81%	89%	80%	81%	73%	75%	75%	76%
86.1%		89%	88%	90%	87%	86%	89%	90%	86%	86%	70%	83%	90%	85%
86.5%		92%	92%	96%	92%	75%	82%	86%	90%	92%	81%	73%	87%	86%
83.9%		96%	92%	91%	83%	74%	96%	85%	75%	85%	85%	70%	73%	86%
80.5%		84%	85%	78%	82%	79%	81%	79%	77%	81%	81%	76%	80%	83%
84.7%		88%	85%	79%	86%	67%	92%	87%	93%	96%	63%	88%	82%	95%
90.3%		94%	96%	94%	92%	87%	91%	94%	90%	84%	96%	84%	79%	93%
80.8%		89%	89%	93%	88%	69%	76%	84%	85%	74%	71%	82%	77%	74%
81.7%		85%	77%	79%	88%	65%	76%	78%	92%	82%	92%	84%	80%	84%
84.1%		86%	91%	89%	95%	73%	80%	93%	91%	85%	78%	73%	87%	72%
86.0%		90%	91%	90%	88%	71%	88%	82%	89%	87%	89%	80%	87%	86%
88.8%		90%	86%	85%	93%	87%	89%	94%	89%	91%	76%	91%	90%	94%
72.2%		80%	73%	71%	64%	64%	92%	69%	88%	62%	70%	49%	74%	82%
81.3%		92%	92%	92%	92%	10%	83%	79%	83%	92%	88%	87%	76%	91%
84.8%		86%	85%	88%	89%	83%	70%	77%	89%	94%	90%	88%	83%	81%
66.2%		75%	76%	68%	53%	79%	51%	60%	55%	75%	68%	57%	72%	72%
74.9%		76%	86%	82%	89%	58%	84%	89%	83%	87%	48%	59%	53%	80%
67.2%		88%	85%	82%	79%	55%	69%	59%	60%	55%	55%	54%	59%	74%
90.2%		82%	92%	94%	93%	82%	94%	97%	93%	90%	86%	91%	89%	90%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
78.8%		89%	88%	87%	80%	72%	77%	84%	95%	74%	55%	66%	82%	76%
81.1%		83%	83%	85%	76%	82%	85%	80%	72%	83%	76%	88%	84%	77%
76.2%		80%	84%	78%	78%	55%	91%	82%	82%	73%	64%	79%	75%	70%
87.7%		92%	88%	86%	86%	78%	89%	85%	85%	85%	81%	96%	93%	96%
91.4%		95%	90%	90%	93%	91%	90%	89%	92%	90%	88%	92%	96%	92%
80.2%		82%	88%	89%	85%	77%	76%	80%	80%	79%	76%	76%	79%	76%
88.2%		91%	89%	86%	92%	86%	96%	90%	92%	81%	87%	91%	80%	85%
77.9%		84%	88%	85%	73%	68%	83%	86%	84%	69%	73%	89%	73%	58%
88.3%		84%	96%	93%	93%	83%	96%	86%	93%	90%	90%	82%	82%	80%
82.2%		91%	92%	89%	75%	75%	84%	90%	87%	81%	65%	78%	75%	87%
83.9%		96%	90%	94%	94%	66%	92%	80%	91%	75%	82%	86%	64%	81%
94.5%		96%	96%	97%	92%	94%	94%	93%	95%	92%	95%	95%	93%	96%
86.8%		90%	86%	88%	80%	88%	90%	89%	89%	89%	77%	90%	83%	89%
82.6%		88%	89%	88%	90%	72%	89%	88%	88%	86%	56%	81%	77%	82%
84.1%		88%	88%	81%	90%	92%	83%	81%	81%	94%	77%	89%	68%	81%
92.7%		93%	94%	94%	94%	86%	94%	94%	96%	92%	92%	92%	92%	92%
85.8%		85%	86%	85%	85%	79%	87%	87%	84%	86%	87%	92%	86%	87%
82.2%		74%	89%	83%	81%	85%	82%	85%	86%	84%	58%	86%	89%	86%
75.9%		78%	88%	83%	93%	70%	73%	81%	87%	72%	66%	73%	57%	66%
76.3%		86%	83%	84%	79%	81%	61%	51%	64%	67%	73%	86%	97%	80%
81.8%		65%	79%	80%	91%	86%	93%	91%	87%	90%	55%	92%	74%	81%
92.8%		88%	97%	99%	95%	97%	98%	93%	96%	94%	69%	94%	92%	95%
89.2%		91%	94%	89%	94%	83%	89%	88%	93%	91%	86%	85%	87%	89%
84.8%		94%	88%	95%	92%	45%	83%	92%	93%	93%	88%	77%	84%	79%
91.2%		91%	91%	91%	87%	93%	92%	91%	92%	92%	92%	92%	90%	92%
89.6%		92%	88%	90%	85%	87%	91%	89%	89%	88%	88%	88%	99%	91%
92.9%		93%	95%	93%	93%	90%	94%	91%	93%	95%	91%	92%	95%	93%
91.0%		91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
80.1%		84%	79%	78%	85%	62%	83%	84%	85%	85%	77%	72%	81%	86%
83.0%		78%	90%	92%	88%	80%	78%	85%	92%	89%	83%	79%	71%	74%
78.8%		79%	81%	81%	87%	71%	77%	73%	83%	76%	82%	69%	86%	79%
74.2%		75%	86%	80%	75%	74%	83%	75%	87%	62%	71%	72%	62%	62%
91.8%		90%	94%	94%	90%	92%	94%	85%	94%	92%	92%	92%	92%	93%
85.5%		97%	95%	89%	78%	41%	94%	93%	96%	91%	93%	80%	82%	82%
86.8%		94%	93%	92%	86%	60%	87%	89%	92%	90%	87%	78%	89%	91%
75.5%		75%	75%	80%	94%	66%	80%	88%	82%	77%	61%	63%	70%	71%
91.6%		93%	94%	95%	95%	84%	92%	92%	95%	95%	73%	95%	94%	94%
95.8%		96%	96%	96%	96%	94%	96%	96%	96%	96%	96%	96%	96%	96%
83.0%		83%	93%	87%	90%	77%	88%	93%	83%	79%	71%	75%	86%	74%
84.2%		78%	85%	88%	90%	91%	88%	86%	89%	74%	72%	90%	86%	78%
80.3%		72%	86%	75%	59%	85%	77%	82%	73%	92%	90%	80%	92%
83.6%		77%	90%	86%	88%	78%	83%	90%	88%	80%	85%	80%	80%	82%
87.9%		92%	94%	93%	90%	77%	95%	92%	98%	71%	83%	87%	81%	90%
77.5%		74%	86%	93%	61%	93%	78%	85%	85%	89%	74%	73%	52%	64%
86.6%		79%	95%	88%	91%	89%	81%	90%	83%	83%	74%	96%	90%	87%
88.2%		95%	86%	91%	80%	92%	95%	87%	94%	83%	69%	92%	88%	94%
80.5%		81%	78%	73%	77%	89%	83%	85%	84%	87%	73%	74%	84%	78%
66.6%		75%	70%	54%	43%	76%	57%	55%	63%	70%	77%	75%	76%	75%
92.0%		86%	94%	98%	97%	88%	95%	83%	91%	92%	92%	97%	89%	94%
87.2%		91%	91%	94%	89%	86%	86%	92%	81%	71%	89%	86%	87%	90%
58.6%		56%	63%	60%	67%	45%	72%	58%	74%	47%	46%	62%	52%	60%
83.7%		77%	83%	84%	75%	88%	83%	75%	88%	87%	96%	79%	91%	82%
87.2%		91%	89%	84%	90%	93%	77%	75%	86%	90%	90%	89%	90%	90%
87.6%		84%	91%	89%	84%	87%	89%	80%	88%	93%	90%	87%	88%	89%
95.9%		96%	96%	96%	96%	95%	96%	96%	96%	96%	96%	96%	96%	96%
88.5%		94%	93%	93%	92%	74%	96%	94%	90%	90%	82%	92%	77%	84%
88.5%		88%	88%	88%	89%	90%	88%	90%	89%	92%	82%	90%	87%	89%
74.4%		85%	84%	84%	73%	61%	75%	63%	85%	94%	55%	55%	73%	80%
74.3%		76%	87%	86%	86%	56%	96%	72%	94%	32%	32%	71%	92%	86%
86.5%		91%	85%	91%	91%	82%	89%	90%	78%	85%	88%	85%	81%	88%
94.6%		96%	96%	96%	96%	78%	96%	96%	96%	96%	96%	96%	96%	96%
92.0%		93%	94%	94%	95%	95%	96%	88%	91%	91%	91%	86%	90%	92%
87.6%		86%	89%	97%	70%	82%	83%	83%	89%	82%	96%	96%	92%	94%
90.4%		91%	91%	91%	91%	92%	91%	91%	91%	91%	91%	91%	82%	91%
86.0%		89%	88%	85%	86%	78%	94%	85%	88%	91%	66%	93%	89%	86%
89.0%		77%	93%	92%	91%	82%	90%	93%	90%	91%	89%	89%	90%	90%
85.1%		85%	91%	91%	84%	80%	93%	87%	95%	80%	80%	80%	80%	80%
84.4%		80%	85%	91%	97%	80%	89%	83%	92%	80%	80%	80%	80%	80%
88.2%		86%	95%	93%	95%	90%	90%	81%	92%	93%	83%	82%	72%	95%