DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Environment%3Asuburban Ctx - Run 560390a...

Global Dialogues GD4 - Suburban (with context)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Social interaction

Sociology & Anthropology

Best Models (Coverage)

1.Claude Sonnet 4.5
86.4%
2.Claude Sonnet 4
86.2%
3.GPT 4.1
86.0%
4.Gemini 2.5 Flash
85.9%
5.Mistral Medium 3
84.7%

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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 84.4%	2nd 86.2%	1st 86.4%	4th 85.9%	12th 79.9%	9th 83.0%	5th 84.7%	3rd 86.0%	8th 83.2%	13th 77.9%	10th 81.6%	11th 79.9%	7th 83.2%
81.5%		56%	85%	84%	87%	86%	78%	85%	82%	82%	83%	85%	83%	83%
73.5%		94%	83%	89%	92%	61%	63%	67%	94%	72%	56%	62%	62%	60%
78.2%		83%	83%	82%	85%	75%	66%	79%	88%	87%	61%	86%	66%	75%
82.5%		87%	76%	88%	69%	85%	88%	74%	87%	82%	83%	88%	81%	84%
72.6%		74%	78%	87%	75%	62%	75%	74%	80%	68%	62%	69%	64%	76%
89.6%		88%	92%	89%	92%	88%	88%	88%	91%	91%	91%	87%	89%	91%
67.8%		88%	77%	87%	74%	59%	57%	63%	68%	58%	58%	58%	62%	73%
79.5%		78%	82%	78%	80%	70%	79%	83%	83%	83%	83%	83%	77%	75%
84.5%		95%	95%	89%	74%	90%	83%	80%	95%	71%	68%	85%	78%	95%
69.2%		67%	71%	68%	58%	80%	62%	87%	70%	60%	56%	71%	67%	83%
91.0%		89%	94%	96%	91%	86%	86%	94%	94%	92%	92%	89%	89%	91%
90.4%		79%	87%	93%	90%	95%	92%	91%	92%	92%	88%	92%	92%	92%
84.8%		85%	85%	85%	85%	83%	85%	85%	85%	85%	85%	85%	85%	85%
73.1%		75%	93%	85%	87%	76%	56%	60%	63%	75%	77%	65%	66%	72%
86.8%		81%	81%	90%	93%	91%	80%	90%	90%	87%	75%	84%	93%	93%
83.8%		93%	93%	90%	87%	72%	94%	93%	92%	91%	63%	75%	62%	85%
84.2%		93%	91%	90%	89%	76%	87%	84%	78%	82%	85%	83%	77%	79%
88.0%		82%	82%	87%	92%	90%	86%	93%	88%	89%	83%	88%	91%	93%
88.0%		87%	90%	89%	88%	89%	88%	89%	87%	84%	85%	89%	90%	89%
75.5%		80%	66%	81%		62%	73%	78%	78%	76%	77%	83%	78%	74%
91.2%		91%	92%	94%	93%	87%	93%	93%	94%	93%	80%	90%	93%	93%
94.2%		97%	96%	94%	95%	87%	96%	96%	94%	97%	97%	97%	82%	97%
93.7%		91%	93%	95%	96%	90%	91%	99%	94%	93%	94%	96%	94%	92%
73.9%		85%	79%	87%	82%	66%	73%	75%	82%	84%	55%	62%	55%	76%
81.5%		81%	86%	79%	76%	77%	92%	85%	87%	80%	79%	79%	78%	80%
89.9%		92%	91%	89%	92%	95%	72%	92%	86%	92%	92%	92%	92%	92%
84.9%		84%	87%	87%	84%	83%	79%	92%	93%	73%	89%	82%	83%	88%
71.8%		54%	68%	79%	75%	68%	72%	72%	85%	74%	67%	72%	74%	73%
84.5%		86%	94%	93%	91%	80%	84%	81%	94%	89%	72%	81%	75%	79%
87.0%		74%	86%	86%	83%	91%	92%	94%	96%	94%	64%	92%	88%	91%
93.5%		95%	93%	91%	90%	96%	95%	94%	93%	93%	95%	94%	93%	94%
86.8%		92%	93%	90%	85%	86%	90%	91%	92%	90%	69%	87%	87%	77%
78.5%		86%	88%	91%	91%	60%	81%	87%	91%	76%	85%	61%	47%	76%
82.2%		79%	84%	88%	91%	67%	83%	91%	87%	86%	83%	86%	59%	85%
84.1%		85%	91%	81%	86%	87%	77%	92%	80%	84%	68%	86%	90%	86%
95.1%		95%	97%	97%	97%	92%	92%	98%	95%	95%	94%	92%	97%	95%
90.8%		94%	98%	91%	96%	88%	85%	97%	94%	77%	89%	94%	95%	83%
90.8%		90%	89%	87%	92%	92%	92%	91%	89%	90%	92%	92%	92%	92%
89.9%		90%	89%	89%	85%	89%	88%	89%	91%	91%	93%	93%	92%	90%
91.8%		92%	95%	86%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
83.1%		91%	87%	80%	86%	74%	90%	89%	88%	92%	59%	89%	64%	91%
82.5%		86%	76%	87%	87%	74%	85%	77%	74%	87%	91%	78%	87%	83%
84.1%		91%	91%	92%	90%	71%	91%	92%	93%	88%	80%	62%	73%	79%
80.1%		83%	86%	88%	73%	74%	82%	82%	85%	70%	79%	86%	83%	70%
77.5%		81%	88%	83%	89%	84%	90%	62%	85%	66%	52%	56%	82%	90%
83.0%		78%	86%	90%	80%	70%	94%	87%	86%	82%	77%	77%	86%	86%
80.3%		85%	80%	80%	92%	86%	80%	79%	87%	88%	50%	83%	77%	77%
92.8%		91%	97%	98%	92%	83%	94%	89%	88%	100%	86%	96%	99%	94%
92.9%		97%	87%	95%	96%	89%	96%	95%	90%	96%	96%	96%	78%	97%
89.4%		85%	88%	93%	94%	94%	94%	86%	94%	90%	85%	85%	87%	87%
91.1%		94%	90%	93%	92%	95%	88%	90%	91%	91%	91%	90%	90%	89%
74.0%		70%	76%	80%	89%	64%	65%	74%	85%	76%	87%	61%	70%	65%
78.9%		77%	85%	85%	88%	77%	77%	81%	77%	79%	74%	74%	78%	74%
68.0%		78%	72%	80%	88%	60%	65%	64%	68%	66%	73%	58%	53%	59%
88.7%		89%	89%	89%	89%	85%	89%	89%	89%	89%	89%	89%	89%	89%
85.5%		87%	89%	90%	92%	81%	81%	91%	91%	86%	82%	81%	79%	82%
60.6%		57%	70%	71%	65%	44%	71%	67%	70%	53%	29%	77%	51%	63%
84.9%		85%	85%	85%	85%	85%	84%	85%	85%	85%	85%	85%	85%	85%
82.2%		84%	80%	92%	94%	68%	89%	95%	87%	84%	85%	72%	53%	86%
83.7%		84%	89%	96%	66%	76%	89%	88%	80%	74%	86%	91%	78%	91%
86.8%		96%	88%	77%	84%	84%	84%	79%	89%	81%	92%	96%	87%	91%
77.2%		62%	87%	85%	74%	88%	85%	87%	75%	73%	67%	80%	68%	73%
81.2%		87%	90%	82%	77%	75%	86%	84%	89%	77%	77%	77%	77%	77%
91.5%		90%	94%	94%	95%	96%	84%	91%	93%	89%	93%	95%	83%	92%
94.0%		93%	94%	96%	94%	88%	92%	97%	95%	96%	95%	95%	95%	92%
72.5%		66%	82%	82%	89%	65%	86%	80%	76%	83%	45%	65%	50%	73%
72.1%		76%	70%	78%	84%	63%	78%	83%	79%	75%	62%	63%	61%	65%
75.5%		89%	75%	58%	69%	76%	70%	74%	77%	82%	73%	78%	75%	86%
81.7%		83%	84%	76%	84%	84%	79%	84%	83%	81%	70%	88%	80%	86%
81.2%		91%	80%	73%	63%	84%	69%	85%	72%	93%	85%	90%	84%	86%
79.2%		79%	79%	79%	79%	82%	79%	79%	79%	79%	79%	79%	79%	79%
79.7%		86%	85%	85%	65%	88%	81%	61%	81%	64%	90%	84%	72%	94%
85.8%		89%	89%	91%	85%	82%	87%	85%	90%	85%	71%	90%	85%	86%
77.0%		86%	85%	83%	86%	63%	83%	89%	80%	84%	63%	78%	58%	63%
82.9%		83%	83%	87%	83%	86%	83%	83%	82%	80%	81%	82%	80%	85%
87.0%		89%	90%	90%	85%	87%	88%	85%	85%	85%	85%	92%	83%	87%
86.8%		83%	97%	88%	90%	96%	74%	89%	85%	83%	66%	91%	91%	96%
86.0%		89%	88%	90%	89%	84%	86%	84%	87%	89%	67%	89%	91%	85%
91.9%		89%	94%	94%	93%	89%	86%	96%	95%	89%	92%	90%	97%	91%
89.1%		89%	89%	89%	89%	90%	89%	89%	89%	89%	89%	89%	89%	89%
80.6%		77%	84%	88%	77%	77%	86%	87%	87%	77%	77%	77%	77%	77%
91.7%		95%	93%	92%	92%	85%	93%	98%	94%	92%	88%	85%	93%	92%
84.4%		89%	93%	88%	77%	78%	95%	87%	87%	87%	72%	81%	76%	87%
91.8%		92%	96%	92%	86%	86%	94%	98%	82%	96%	96%	93%	86%	96%
84.2%		91%	85%	74%	80%	82%	82%	87%	85%	86%	88%	86%	83%	86%
93.2%		92%	96%	94%	94%	91%	88%	94%	96%	90%	94%	95%	93%	95%
83.4%		86%	88%	87%	90%	86%	87%	91%	86%	95%	72%	72%	72%	72%
75.9%		87%	81%	78%	79%	67%	78%	71%	71%	74%	79%	66%	82%	74%
81.2%		88%	83%	94%	87%	66%	79%	89%	89%	85%	75%	75%	75%	70%
85.3%		78%	78%	78%	94%	72%	82%	90%	100%	92%	79%	86%	86%	94%
70.4%		64%	68%	71%	80%	66%	67%	78%	69%	74%	77%	65%	71%	65%
76.7%		81%	94%	91%	90%	74%	61%	79%	73%	73%	81%	62%	62%	76%
70.8%		88%	78%	79%	76%	76%	64%	54%	63%	62%	39%	67%	92%	83%
89.9%		81%	92%	92%	98%	93%	87%	85%	95%	93%	91%	91%	87%	84%
62.8%		63%	67%	88%	48%	73%	76%	56%	55%	59%	48%	49%	62%	72%
82.8%		84%	89%	76%	87%	81%	84%	93%	96%	82%	71%	78%	78%	78%
89.3%		99%	95%	88%	87%	86%	95%	87%	93%	90%	74%	81%	92%	94%
86.5%		87%	89%	89%	93%	86%	88%	86%	88%	86%	71%	86%	89%	87%
80.0%		92%	88%	87%	88%	64%	92%	83%	94%	81%	60%	80%	65%	66%
84.9%		97%	94%	85%	94%	82%	81%	87%	91%	88%	82%	67%	76%	80%
83.2%		79%	87%	71%	87%	76%	90%	80%	90%	82%	73%	80%	93%	93%
80.2%		75%	78%	83%	87%	76%	78%	82%	82%	78%	81%	91%	73%	79%
85.8%		91%	94%	94%	92%	86%	89%	76%	85%	68%	92%	72%	87%	89%
78.8%		85%	76%	81%	84%	65%	74%	75%	90%	81%	92%	71%	72%	78%
88.2%		81%	84%	88%	93%	92%	86%	87%	87%	94%	91%	85%	91%	88%
82.3%		86%	80%	87%	88%	71%	83%	85%	90%	85%	81%	83%	66%	85%
80.0%		91%	80%	80%	91%	68%	73%	88%	88%	88%	68%	82%	70%	73%
74.2%		62%	76%	87%	93%	54%	71%	77%	91%	62%	46%	93%	95%	57%
78.0%		64%	85%	74%	90%	80%	84%	83%	79%	83%	58%	70%	83%	81%
86.8%		93%	93%	95%	93%	73%	89%	93%	94%	93%	82%	73%	78%	79%
88.2%		85%	90%	87%	91%	86%	79%	92%	87%	86%	93%	88%	90%	92%
86.5%		89%	93%	90%	90%	85%	88%	75%	91%	84%	72%	90%	86%	91%
91.8%		82%	95%	96%	96%	89%	97%	94%	95%	94%	92%	82%	91%	90%
94.5%		95%	96%	98%	96%	96%	91%	95%	94%	94%	95%	98%	88%	93%
87.8%		89%	91%	90%	85%	70%	90%	95%	91%	89%	87%	85%	94%	85%
80.6%		79%	83%	82%	79%	93%	78%	80%	79%	79%	79%	79%	79%	79%