DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Environment%3Asuburban Ctx - Run 68bf243...

Global Dialogues GD6 - Suburban (with context)

DTEF: Predict response distributions for Suburban. 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

Economics & Finance

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
87.7%
2.Claude Sonnet 4
86.9%
3.GPT 4.1
86.2%
4.Llama 4 Maverick
85.1%
5.Gemini 2.5 Flash
84.6%

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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		6th 84.2%	2nd 86.9%	1st 87.7%	5th 84.6%	13th 77.5%	4th 85.1%	7th 84.1%	3rd 86.2%	8th 84.1%	12th 78.0%	11th 82.0%	10th 82.2%	9th 83.3%
70.5%		78%	70%	79%	75%	45%	80%	82%	76%	70%	59%	64%	65%	74%
78.2%		80%	82%	93%	74%	76%	72%	83%	81%	78%	74%	80%	73%	71%
82.9%		84%	86%	90%	88%	80%	87%	86%	81%	80%	78%	77%	83%	78%
87.1%		86%	93%	94%	88%	86%	92%	88%	86%	88%	67%	86%	91%	87%
82.2%		91%	91%	90%	94%	62%	79%	80%	87%	86%	83%	65%	82%	79%
83.6%		92%	85%	94%	88%	70%	90%	76%	70%	89%	90%	73%	90%	80%
82.0%		76%	82%	81%	79%	85%	88%	77%	82%	87%	85%	77%	82%	85%
84.1%		91%	84%	83%	85%	63%	93%	90%	92%	99%	62%	83%	74%	94%
92.4%		91%	94%	98%	96%	90%	92%	98%	91%	91%	97%	86%	82%	95%
83.0%		91%	91%	95%	92%	69%	71%	88%	85%	79%	79%	85%	78%	76%
78.2%		82%	74%	80%	93%	61%	74%	73%	85%	81%	84%	83%	68%	78%
80.8%		82%	89%	83%	92%	72%	79%	91%	90%	77%	77%	70%	79%	69%
86.5%		92%	92%	92%	93%	71%	90%	85%	90%	85%	89%	77%	84%	85%
86.8%		85%	83%	87%	83%	88%	84%	91%	87%	90%	79%	87%	91%	93%
75.1%		94%	76%	72%	64%	62%	87%	71%	87%	68%	78%	60%	74%	83%
77.2%		88%	88%	88%	80%	10%	79%	79%	78%	85%	82%	82%	76%	88%
84.2%		72%	90%	87%	83%	87%	70%	75%	95%	90%	88%	87%	88%	82%
70.5%		78%	87%	76%	59%	81%	55%	67%	65%	75%	71%	60%	66%	76%
76.0%		74%	80%	90%	92%	56%	79%	92%	81%	87%	53%	74%	52%	78%
66.7%		90%	78%	79%	61%	58%	70%	63%	62%	57%	57%	58%	60%	74%
89.2%		82%	94%	93%	92%	83%	94%	99%	94%	86%	89%	91%	78%	85%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
77.2%		83%	78%	92%	83%	80%	74%	86%	94%	75%	46%	60%	78%	75%
83.2%		85%	85%	87%	77%	83%	88%	80%	77%	87%	81%	89%	87%	75%
76.2%		87%	86%	90%	75%	57%	94%	83%	93%	65%	59%	75%	66%	61%
84.9%		91%	90%	83%	74%	84%	87%	82%	84%	80%	68%	96%	92%	93%
91.3%		94%	89%	90%	96%	91%	91%	92%	90%	91%	90%	91%	91%	91%
79.4%		80%	86%	89%	85%	77%	75%	79%	78%	78%	76%	76%	77%	76%
87.5%		90%	90%	90%	94%	85%	90%	86%	96%	80%	81%	85%	86%	85%
78.5%		87%	87%	85%	75%	57%	84%	85%	89%	76%	75%	77%	75%	68%
88.2%		78%	96%	93%	91%	83%	97%	84%	91%	93%	91%	76%	91%	82%
80.3%		84%	86%	91%	80%	70%	89%	84%	86%	81%	66%	76%	71%	80%
81.8%		96%	92%	92%	84%	57%	82%	83%	92%	85%	91%	76%	57%	76%
93.5%		95%	94%	95%	95%	94%	96%	92%	95%	92%	90%	93%	91%	94%
90.5%		92%	92%	94%	93%	92%	93%	92%	93%	90%	76%	87%	92%	91%
85.5%		88%	90%	89%	90%	75%	90%	90%	89%	90%	64%	89%	88%	80%
84.1%		90%	85%	82%	79%	87%	85%	80%	82%	95%	74%	87%	82%	85%
91.8%		90%	93%	93%	91%	89%	92%	93%	94%	91%	91%	91%	95%	91%
88.4%		89%	86%	89%	89%	65%	93%	90%	93%	91%	90%	89%	93%	92%
78.8%		76%	86%	78%	85%	77%	78%	85%	80%	84%	53%	80%	78%	84%
76.6%		79%	89%	81%	82%	69%	74%	80%	86%	73%	64%	75%	75%	69%
79.7%		89%	88%	82%	70%	82%	69%	63%	71%	74%	81%	82%	93%	92%
81.8%		62%	73%	84%	93%	87%	93%	80%	87%	87%	57%	94%	84%	82%
90.9%		91%	96%	95%	94%	90%	96%	92%	94%	93%	66%	89%	93%	93%
88.9%		90%	93%	91%	95%	82%	94%	91%	90%	93%	81%	84%	89%	83%
82.3%		84%	84%	94%	93%	47%	78%	88%	92%	94%	80%	76%	85%	75%
91.5%		93%	90%	92%	91%	95%	95%	90%	91%	91%	89%	89%	92%	92%
86.8%		90%	86%	86%	79%	90%	88%	86%	85%	88%	88%	88%	88%	87%
85.8%		85%	89%	85%	87%	86%	86%	84%	88%	83%	83%	87%	89%	84%
87.0%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%
79.9%		86%	80%	78%	86%	63%	81%	77%	82%	87%	77%	77%	79%	86%
84.8%		85%	90%	89%	91%	79%	84%	86%	93%	84%	86%	80%	76%	79%
75.2%		73%	76%	76%	83%	67%	78%	71%	76%	75%	81%	62%	87%	72%
71.8%		73%	79%	89%	78%	68%	76%	71%	83%	57%	64%	69%	72%	55%
90.2%		86%	94%	92%	89%	91%	93%	80%	92%	90%	91%	91%	92%	91%
85.4%		94%	92%	90%	66%	50%	91%	91%	92%	93%	88%	92%	83%	88%
87.5%		92%	92%	92%	92%	56%	88%	88%	87%	92%	88%	88%	90%	92%
73.7%		79%	77%	76%	88%	66%	76%	80%	81%	75%	59%	64%	66%	71%
91.3%		96%	93%	93%	93%	85%	93%	95%	90%	92%	76%	94%	94%	93%
97.8%		98%	98%	98%	98%	95%	98%	98%	98%	98%	98%	98%	98%	98%
79.8%		71%	90%	91%	84%	88%	81%	92%	75%	82%	68%	75%	70%	70%
84.8%		76%	84%	88%	93%	95%	89%	89%	90%	75%	68%	90%	90%	76%
79.5%		67%	75%	73%	61%	85%	74%	77%	64%	94%	94%	80%	94%	95%
83.5%		81%	88%	88%	86%	84%	83%	88%	88%	78%	85%	78%	80%	78%
84.8%		92%	92%	92%	93%	77%	93%	87%	95%	76%	74%	77%	74%	80%
77.2%		67%	90%	86%	70%	86%	82%	86%	75%	69%	76%	67%	81%	69%
88.6%		81%	95%	94%	96%	95%	82%	86%	87%	85%	81%	96%	84%	90%
88.3%		86%	93%	93%	74%	88%	87%	89%	92%	75%	93%	90%	94%	94%
81.2%		82%	83%	73%	79%	86%	84%	87%	79%	82%	73%	79%	90%	79%
66.5%		75%	69%	55%	45%	75%	58%	61%	64%	71%	76%	66%	78%	72%
92.5%		86%	90%	96%	94%	89%	96%	89%	93%	94%	94%	94%	92%	96%
85.2%		91%	85%	92%	86%	80%	85%	81%	79%	77%	86%	87%	90%	89%
65.0%		60%	73%	58%	81%	47%	82%	69%	75%	59%	47%	66%	58%	70%
80.2%		75%	69%	85%	73%	89%	70%	74%	81%	83%	86%	86%	93%	79%
88.2%		86%	90%	90%	91%	92%	81%	75%	91%	91%	91%	86%	91%	91%
85.6%		77%	83%	91%	85%	87%	80%	84%	81%	88%	95%	96%	81%	85%
98.1%		98%	98%	98%	98%	99%	98%	98%	98%	98%	98%	98%	98%	98%
85.9%		70%	90%	93%	91%	76%	97%	91%	87%	94%	79%	96%	74%	79%
87.4%		88%	86%	86%	88%	90%	86%	91%	87%	88%	82%	92%	84%	88%
75.5%		79%	86%	90%	63%	67%	79%	72%	85%	96%	49%	60%	78%	78%
75.9%		53%	82%	84%	86%	60%	92%	71%	88%	86%	27%	86%	86%	86%
84.6%		89%	86%	89%	94%	77%	83%	89%	82%	84%	75%	85%	76%	91%
94.6%		96%	96%	96%	96%	78%	96%	96%	96%	96%	96%	96%	96%	96%
86.9%		86%	88%	90%	88%	88%	85%	88%	94%	82%	83%	88%	83%	87%
83.8%		83%	84%	96%	65%	83%	79%	79%	95%	79%	85%	92%	79%	91%
86.6%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	82%	87%
86.8%		91%	91%	92%	88%	74%	92%	90%	90%	90%	71%	86%	86%	88%
89.3%		81%	93%	93%	91%	85%	93%	91%	93%	88%	88%	91%	85%	89%
85.0%		81%	89%	89%	90%	86%	93%	90%	96%	78%	78%	78%	78%	79%
80.4%		78%	85%	85%	78%	80%	85%	78%	86%	78%	78%	78%	78%	78%
86.1%		87%	92%	92%	91%	90%	95%	73%	90%	94%	73%	78%	67%	97%