DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Country%3Aunited States Ctx - Run 0cee367...

Global Dialogues GD4 - United States (with context)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Social interaction

AI Safety & Robustness

Economic Disruption & Reskilling Advice

Mental Health & Crisis Support

Demographic Processes

Best Models (Coverage)

1.Claude Sonnet 4.5
86.0%
2.GPT 4.1
85.3%
3.Claude Sonnet 4
84.6%
4.Gemini 2.5 Flash
84.0%
5.Mistral Medium 3
84.0%

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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		6th 83.9%	3rd 84.6%	1st 86.0%	4th 84.0%	13th 77.4%	9th 81.9%	5th 84.0%	2nd 85.3%	7th 83.0%	12th 79.1%	10th 81.5%	11th 79.6%	8th 82.6%
84.8%		68%	92%	91%	96%	68%	83%	90%	90%	83%	74%	86%	91%	91%
73.9%		86%	83%	85%	76%	62%	76%	67%	91%	83%	54%	68%	60%	70%
73.4%		79%	77%	77%	83%	71%	55%	76%	86%	80%	52%	78%	65%	75%
86.1%		90%	78%	88%	79%	91%	90%	88%	90%	85%	80%	90%	84%	86%
75.8%		81%	82%	83%	82%	64%	82%	78%	78%	69%	66%	71%	70%	80%
89.6%		90%	92%	92%	89%	78%	88%	92%	93%	91%	92%	85%	92%	91%
71.3%		92%	79%	88%	78%	59%	58%	71%	69%	69%	59%	66%	63%	76%
83.5%		92%	88%	85%	87%	76%	78%	83%	86%	75%	85%	83%	88%	80%
81.9%		86%	91%	82%	69%	86%	78%	78%	87%	78%	84%	81%	78%	87%
76.5%		70%	70%	68%	80%	83%	75%	82%	74%	73%	83%	86%	65%	86%
93.3%		88%	93%	97%	94%	92%	86%	95%	95%	95%	93%	97%	93%	95%
91.2%		89%	85%	91%	89%	94%	92%	93%	92%	93%	93%	92%	88%	94%
85.0%		85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%
60.2%		61%	82%	69%	67%	57%	44%	55%	58%	61%	58%	51%	63%	57%
81.0%		83%	80%	87%	89%	72%	72%	89%	83%	79%	70%	74%	89%	86%
77.9%		82%	86%	84%	82%	72%	84%	74%	85%	82%	58%	70%	70%	84%
80.2%		87%	86%	87%	90%	65%	87%	82%	79%	76%	76%	81%	71%	75%
87.5%		83%	85%	92%	80%	87%	85%	92%	90%	91%	82%	86%	93%	92%
92.4%		96%	93%	93%	94%	91%	94%	92%	93%	88%	93%	89%	95%	90%
78.8%		83%	75%	79%	77%	59%	81%	79%	81%	81%	82%	89%	82%	77%
88.7%		89%	87%	90%	92%	88%	81%	84%	90%	93%	83%	92%	92%	92%
91.0%		98%	90%	92%	94%	81%	96%	90%	93%	94%	94%	94%	73%	94%
90.6%		91%	94%	92%	91%	86%	88%	92%	92%	93%	89%	90%	90%	90%
74.6%		84%	77%	76%	83%	68%	79%	77%	78%	84%	62%	67%	61%	74%
81.5%		75%	84%	87%	67%	86%	85%	79%	85%	78%	83%	81%	80%	90%
91.5%		85%	91%	93%	94%	92%	78%	94%	93%	94%	94%	94%	94%	94%
82.2%		81%	84%	87%	85%	78%	74%	88%	90%	78%	82%	81%	83%	78%
68.8%		56%	71%	71%	72%	63%	69%	70%	76%	74%	70%	71%	66%	65%
82.6%		80%	87%	87%	88%	81%	82%	80%	91%	89%	80%	79%	74%	76%
87.9%		76%	89%	94%	97%	79%	80%	95%	93%	89%	72%	91%	94%	94%
88.8%		89%	90%	89%	91%	82%	87%	91%	91%	90%	89%	87%	90%	88%
87.5%		91%	89%	87%	90%	83%	87%	92%	90%	89%	71%	90%	91%	87%
82.6%		93%	93%	92%	91%	73%	75%	87%	91%	87%	85%	73%	67%	67%
80.4%		85%	84%	91%	82%	74%	85%	86%	91%	80%	60%	85%	70%	72%
84.8%		85%	93%	87%	82%	93%	77%	92%	82%	81%	83%	88%	84%	75%
91.3%		90%	89%	94%	94%	84%	86%	96%	92%	93%	92%	91%	94%	92%
89.5%		96%	90%	91%	87%	78%	85%	93%	96%	94%	92%	91%	79%	91%
80.0%		77%	80%	82%	80%	80%	77%	84%	86%	85%	78%	77%	77%	77%
92.7%		92%	91%	91%	93%	94%	92%	94%	95%	92%	92%	94%	91%	94%
77.9%		77%	80%	86%	77%	77%	77%	77%	77%	77%	77%	77%	77%	77%
86.0%		94%	91%	79%	75%	85%	91%	96%	83%	90%	65%	90%	81%	98%
82.9%		91%	79%	92%	84%	74%	86%	80%	73%	89%	91%	78%	87%	74%
84.3%		89%	86%	91%	88%	69%	81%	90%	88%	88%	87%	68%	88%	83%
77.3%		79%	89%	69%	67%	83%	84%	79%	88%	69%	70%	87%	75%	66%
75.5%		91%	87%	80%	87%	78%	82%	66%	89%	55%	59%	76%	54%	77%
87.0%		90%	93%	95%	88%	67%	88%	84%	91%	91%	81%	85%	95%	83%
80.8%		97%	79%	78%	87%	93%	78%	80%	81%	83%	51%	85%	79%	79%
85.5%		92%	95%	93%	89%	10%	95%	83%	83%	87%	98%	89%	99%	99%
87.7%		96%	78%	91%	95%	79%	93%	81%	87%	89%	94%	94%	74%	89%
82.9%		80%	75%	90%	88%	78%	87%	84%	84%	83%	83%	83%	80%	83%
93.8%		98%	90%	92%	95%	94%	92%	90%	94%	94%	95%	95%	95%	95%
70.3%		58%	74%	88%	92%	58%	69%	71%	79%	76%	63%	67%	51%	68%
80.4%		84%	84%	88%	80%	62%	82%	88%	82%	79%	79%	79%	79%	79%
72.1%		75%	75%	75%	86%	64%	69%	69%	76%	74%	76%	73%	64%	61%
92.0%		92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
78.6%		78%	81%	84%	71%	76%	75%	85%	85%	79%	78%	77%	78%	75%
69.9%		72%	75%	70%	74%	53%	79%	76%	74%	65%	37%	85%	73%	76%
85.0%		85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%
83.5%		83%	86%	95%	90%	67%	89%	76%	90%	84%	87%	81%	68%	90%
82.5%		81%	80%	85%	82%	71%	87%	85%	75%	82%	88%	87%	80%	89%
84.6%		92%	91%	89%	64%	87%	79%	81%	79%	80%	93%	96%	82%	87%
77.9%		61%	88%	88%	81%	76%	80%	82%	78%	71%	71%	74%	90%	73%
87.2%		92%	89%	87%	74%	85%	95%	91%	91%	86%	86%	86%	86%	86%
90.7%		90%	90%	92%	91%	94%	85%	93%	90%	85%	95%	94%	87%	93%
86.2%		86%	86%	87%	87%	85%	85%	88%	89%	87%	85%	85%	86%	85%
76.5%		77%	82%	92%	92%	68%	84%	81%	82%	86%	48%	60%	67%	76%
71.4%		74%	69%	76%	84%	68%	80%	80%	74%	72%	61%	61%	62%	67%
72.6%		82%	68%	64%	72%	83%	67%	72%	71%	78%	75%	79%	58%	75%
73.4%		71%	75%	85%	80%	73%	79%	74%	82%	69%	61%	69%	67%	69%
79.1%		94%	78%	78%	52%	83%	68%	77%	77%	92%	78%	84%	87%	80%
79.2%		78%	78%	86%	78%	82%	82%	78%	78%	78%	78%	78%	78%	78%
80.4%		83%	89%	91%	61%	89%	79%	61%	83%	72%	80%	86%	87%	84%
80.9%		73%	86%	88%	91%	69%	86%	89%	88%	78%	74%	76%	74%	80%
74.9%		71%	82%	83%	86%	73%	79%	90%	79%	68%	60%	75%	54%	74%
81.2%		84%	84%	82%	81%	82%	71%	86%	81%	82%	83%	78%	85%	77%
88.8%		90%	94%	95%	81%	90%	91%	95%	90%	87%	81%	84%	81%	96%
88.2%		97%	91%	90%	91%	93%	82%	86%	89%	81%	80%	93%	81%	93%
87.2%		80%	87%	89%	86%	81%	90%	89%	86%	93%	85%	85%	93%	89%
91.8%		85%	91%	92%	98%	93%	86%	95%	96%	87%	92%	97%	88%	93%
91.9%		92%	92%	92%	92%	91%	92%	92%	92%	92%	92%	92%	92%	92%
88.6%		86%	91%	93%	86%	86%	95%	88%	97%	86%	86%	86%	86%	86%
92.3%		91%	85%	93%	93%	92%	90%	95%	94%	93%	94%	94%	93%	93%
80.9%		88%	84%	83%	70%	75%	90%	89%	84%	85%	68%	80%	75%	81%
83.5%		86%	84%	87%	89%	78%	89%	76%	68%	92%	89%	84%	74%	89%
85.8%		93%	87%	81%	86%	82%	81%	85%	87%	83%	86%	89%	85%	91%
89.2%		89%	87%	88%	90%	87%	83%	89%	90%	92%	89%	91%	96%	88%
81.6%		82%	85%	84%	92%	78%	85%	89%	89%	90%	70%	70%	72%	75%
83.5%		91%	82%	83%	88%	73%	86%	84%	81%	88%	88%	71%	87%	83%
79.4%		78%	77%	90%	81%	70%	88%	86%	91%	77%	74%	74%	74%	72%
83.5%		81%	83%	84%	80%	67%	77%	83%	95%	96%	85%	86%	77%	92%
75.8%		72%	76%	79%	84%	72%	74%	78%	74%	79%	77%	71%	76%	74%
77.2%		73%	79%	85%	76%	78%	66%	90%	87%	83%	73%	67%	67%	79%
70.1%		79%	71%	83%	77%	74%	48%	69%	64%	60%	67%	58%	82%	79%
83.6%		77%	82%	84%	86%	85%	79%	81%	92%	87%	85%	85%	85%	79%
72.9%		80%	79%	80%	64%	84%	74%	64%	68%	74%	72%	62%	62%	85%
78.2%		77%	79%	79%	74%	72%	77%	84%	89%	70%	91%	76%	74%	74%
89.3%		90%	94%	93%	91%	87%	90%	88%	91%	86%	83%	85%	87%	96%
83.2%		79%	86%	88%	81%	79%	87%	85%	81%	78%	81%	86%	85%	86%
79.5%		89%	89%	88%	91%	59%	82%	78%	97%	80%	56%	78%	68%	78%
84.8%		91%	86%	89%	93%	83%	87%	83%	83%	87%	83%	74%	77%	87%
82.9%		82%	86%	89%	85%	75%	87%	85%	88%	85%	74%	76%	89%	77%
78.7%		77%	79%	83%	81%	69%	79%	79%	78%	78%	90%	81%	75%	74%
83.6%		90%	89%	91%	85%	76%	81%	82%	79%	78%	85%	86%	83%	82%
71.5%		77%	68%	75%	83%	54%	66%	73%	82%	80%	72%	70%	61%	69%
89.3%		89%	87%	89%	93%	87%	87%	92%	88%	96%	85%	86%	93%	89%
86.8%		92%	84%	89%	90%	72%	90%	89%	90%	93%	89%	90%	69%	92%
77.9%		89%	80%	84%	81%	62%	75%	85%	88%	84%	75%	75%	60%	75%
78.9%		83%	77%	82%	83%	64%	78%	91%	90%	72%	87%	87%	70%	62%
72.2%		61%	80%	71%	70%	75%	76%	70%	71%	77%	59%	77%	74%	78%
87.1%		88%	91%	94%	93%	72%	87%	94%	91%	90%	90%	73%	81%	88%
88.8%		92%	93%	93%	86%	83%	84%	90%	91%	86%	90%	89%	93%	84%
82.6%		84%	88%	83%	74%	80%	87%	85%	84%	87%	70%	87%	80%	85%
90.8%		84%	97%	87%	97%	81%	95%	93%	93%	95%	94%	82%	90%	93%
88.1%		88%	91%	77%	88%	90%	85%	89%	89%	81%	92%	92%	87%	96%
88.5%		92%	95%	96%	92%	74%	95%	94%	97%	92%	75%	74%	89%	85%
81.1%		78%	86%	82%	78%	91%	80%	84%	78%	78%	85%	78%	78%	78%