DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Environment%3Asuburban Ctx - Run 6d7c110...

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

Clarity & Readability

Helpfulness & Actionability

Credibility & Ethos

Best Models (Coverage)

1.Claude Sonnet 4.5
86.6%
2.Claude Sonnet 4
86.2%
3.GPT 4.1
85.9%
4.GPT 5.1
85.9%
5.Grok 4.1 Fast
85.7%

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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 3.7 Sonnet	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Large 2411	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o	GPT 4o Mini	GPT 5 Mini	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct	Grok 4.1 Fast
Score		7th 85.1%	10th 84.4%	2nd 86.2%	1st 86.6%	8th 84.8%	19th 79.7%	13th 83.1%	15th 82.8%	9th 84.4%	3rd 85.9%	11th 83.4%	21st 78.0%	6th 85.3%	17th 81.1%	14th 83.1%	4th 85.9%	16th 82.2%	18th 80.7%	20th 78.8%	12th 83.3%	5th 85.7%
82.1%			56%	86%	84%	88%	84%	82%	79%	91%	85%	83%	54%	83%	84%	95%	82%	88%	85%	83%	83%	87%
78.3%			93%	87%	85%	98%	62%	64%	48%	81%	93%	82%	56%	96%	68%	93%	95%	85%	57%	70%	60%	93%
82.4%			83%	87%	86%	85%	74%	74%	86%	86%	89%	85%	64%	88%	86%	88%	86%	82%	86%	68%	77%	88%
84.7%			91%	75%	91%	83%	87%	87%	85%	86%	88%	80%	86%	89%	88%	80%	85%	78%	81%	83%	85%	85%
71.9%			77%	81%	82%	76%	65%	76%	82%	75%	80%	65%	62%	76%	67%	44%	74%	74%	63%	68%	76%	75%
89.9%			88%	92%	91%	91%	82%	87%	92%	91%	91%	92%	91%	91%	87%	91%	93%	90%	89%	89%	90%	90%
65.7%		79%	88%	77%	87%	10%	58%	57%	70%	69%	65%	58%	58%	63%	58%	75%	78%	58%	61%	61%	72%	77%
81.1%			77%	75%	79%	83%	71%	83%	83%	80%	83%	85%	90%	82%	78%	80%	78%	88%	98%	74%	76%	79%
85.2%			94%	95%	94%	74%	86%	86%	95%	80%	94%	72%	89%	86%	92%	58%	93%	90%	60%	89%	95%	82%
67.8%			67%	66%	69%	63%	83%	67%	78%	85%	67%	54%	69%	64%	70%	68%	63%	71%	40%	66%	78%	67%
91.2%			90%	94%	96%	94%	91%	86%	85%	94%	94%	90%	92%	93%	92%	96%	96%	94%	82%	83%	89%	93%
90.7%			86%	87%	92%	89%	90%	92%	92%	89%	92%	92%	92%	92%	92%	88%	90%	91%	91%	93%	92%	92%
84.8%			85%	85%	85%	85%	82%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%
70.7%			75%	93%	78%	87%	74%	56%	44%	67%	63%	75%	76%	53%	65%	68%	76%	68%	85%	70%	62%	79%
85.4%			80%	85%	91%	87%	73%	81%	93%	88%	93%	88%	75%	93%	75%	85%	89%	80%	88%	93%	81%	90%
84.1%			92%	94%	93%	94%	72%	93%	66%	90%	89%	94%	48%	86%	87%	86%	91%	90%	92%	54%	86%	86%
84.7%			93%	85%	90%	92%	78%	87%	89%	92%	80%	87%	82%	81%	80%	88%	89%	80%	79%	77%	80%	85%
87.9%		93%	82%	80%	82%	80%	91%	85%	92%	92%	87%	89%	83%	92%	89%	80%	95%	89%	89%	92%	93%	91%
88.4%		89%	87%	91%	90%	90%	90%	85%	86%	89%	88%	86%	85%	88%	89%	91%	90%	90%	89%	87%	88%	88%
74.8%		76%	81%	73%	73%	68%	66%	74%	78%	76%	75%	77%	69%	75%	83%	77%	77%	77%	73%	74%	74%	74%
91.1%		94%	91%	93%	95%	95%	89%	92%	88%	93%	95%	94%	80%	91%	84%	94%	91%	84%	93%	91%	93%	93%
93.1%			97%	97%	97%	94%	93%	96%	79%	97%	88%	97%	97%	87%	97%	97%	94%	88%	96%	77%	97%	97%
94.5%			91%	93%	95%	96%	87%	92%	96%	98%	94%	93%	94%	97%	95%	96%	97%	97%	95%	94%	96%	95%
75.1%			79%	69%	86%	84%	59%	73%	75%	73%	76%	84%	54%	79%	64%	84%	82%	84%	83%	54%	76%	84%
83.0%			81%	87%	82%	80%	87%	93%	79%	78%	88%	79%	80%	86%	80%	82%	83%	80%	86%	80%	87%	82%
88.8%		92%	92%	91%	89%	92%	98%	73%	86%	87%	84%	92%	92%	96%	92%	84%	89%	80%	77%	92%	92%	94%
84.9%		88%	85%	89%	89%	82%	83%	78%	93%	92%	90%	73%	89%	91%	82%	73%	82%	91%	73%	82%	88%	89%
73.5%			55%	69%	80%	75%	68%	73%	77%	73%	85%	74%	67%	75%	74%	67%	80%	75%	89%	73%	71%	69%
84.7%			86%	94%	92%	86%	80%	84%	88%	83%	93%	90%	72%	94%	82%	84%	85%	80%	86%	76%	78%	81%
87.6%			76%	86%	88%	90%	94%	92%	92%	94%	97%	94%	64%	94%	92%	74%	90%	86%	83%	84%	91%	91%
92.7%			95%	93%	94%	91%	95%	97%	93%	93%	93%	93%	95%	93%	95%	90%	88%	87%	92%	91%	94%	93%
87.9%			93%	92%	91%	92%	86%	91%	80%	90%	91%	89%	75%	90%	87%	89%	91%	88%	83%	90%	77%	92%
81.2%			86%	87%	88%	92%	63%	77%	91%	88%	87%	81%	86%	83%	61%	84%	92%	81%	86%	50%	76%	85%
84.4%			82%	85%	88%	92%	66%	82%	80%	91%	89%	86%	83%	90%	86%	91%	90%	92%	89%	50%	85%	90%
83.8%			92%	93%	80%	86%	87%	85%	90%	90%	78%	80%	86%	82%	86%	81%	70%	76%	65%	91%	86%	92%
94.9%			96%	97%	96%	95%	91%	91%	92%	97%	97%	96%	93%	95%	95%	97%	93%	93%	96%	96%	96%	96%
91.7%			94%	97%	91%	90%	88%	84%	81%	96%	98%	86%	94%	90%	92%	92%	96%	85%	93%	95%	95%	96%
90.6%			90%	90%	88%	91%	93%	92%	92%	91%	89%	90%	92%	89%	92%	89%	89%	89%	92%	92%	92%	90%
90.5%			92%	90%	90%	86%	92%	89%	87%	88%	91%	91%	93%	89%	93%	91%	89%	90%	93%	91%	91%	93%
89.6%			92%	96%	87%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	81%	60%	94%	92%	92%	85%
83.5%			92%	92%	84%	87%	72%	90%	86%	86%	83%	92%	46%	89%	89%	86%	86%	79%	87%	60%	92%	92%
81.0%			86%	79%	89%	88%	75%	84%	84%	77%	72%	87%	90%	83%	81%	75%	84%	74%	67%	86%	74%	86%
87.1%			89%	91%	92%	93%	72%	90%	89%	93%	93%	89%	80%	93%	72%	89%	93%	93%	88%	73%	78%	91%
78.6%			80%	86%	79%	81%	81%	82%	96%	80%	88%	67%	70%	89%	85%	76%	73%	71%	73%	73%	69%	73%
73.2%			87%	88%	83%	87%	84%	89%	78%	65%	85%	58%	52%	69%	56%	53%	70%	70%	54%	61%	87%	89%
80.9%			74%	86%	90%	81%	72%	95%	94%	83%	89%	79%	63%	93%	77%	73%	84%	74%	68%	80%	87%	76%
82.2%			88%	84%	80%	91%	88%	80%	85%	79%	87%	87%	50%	85%	82%	82%	91%	82%	73%	80%	77%	93%
89.2%			93%	98%	99%	92%	10%	94%	77%	91%	91%	98%	91%	88%	96%	98%	94%	94%	95%	99%	94%	92%
92.0%			96%	86%	90%	96%	91%	95%	60%	95%	88%	96%	96%	95%	96%	96%	97%	97%	96%	80%	97%	96%
89.4%			85%	89%	91%	94%	93%	93%	93%	90%	96%	88%	85%	89%	85%	91%	92%	86%	88%	84%	87%	89%
90.8%			94%	94%	93%	96%	94%	88%	94%	91%	93%	91%	90%	91%	90%	85%	88%	87%	89%	86%	92%	90%
73.0%			72%	77%	81%	85%	69%	65%	76%	74%	82%	59%	65%	80%	70%	70%	83%	79%	73%	53%	67%	79%
78.9%			79%	85%	83%	83%	75%	76%	88%	78%	79%	78%	74%	74%	74%	76%	79%	82%	86%	83%	74%	72%
74.0%			73%	71%	77%	88%	61%	65%	80%	62%	75%	67%	71%	76%	57%	82%	89%	92%	88%	53%	61%	92%
88.9%			89%	89%	89%	89%	87%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
87.4%		93%	86%	89%	90%	81%	80%	81%	95%	91%	93%	86%	82%	94%	81%	89%	89%	93%	91%	79%	84%	88%
60.1%		62%	57%	67%	63%	60%	43%	66%	67%	67%	70%	54%	29%	60%	53%	54%	87%	60%	55%	54%	69%	66%
84.8%			85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	84%	84%	84%	85%	85%	85%
82.1%			84%	87%	90%	91%	64%	87%	78%	78%	90%	85%	85%	85%	74%	90%	87%	76%	89%	52%	86%	84%
77.8%			84%	89%	90%	69%	74%	83%	63%	68%	83%	81%	86%	78%	88%	58%	98%	71%	50%	67%	90%	86%
80.9%			95%	88%	77%	68%	85%	81%	88%	79%	86%	82%	79%	90%	92%	75%	92%	86%	31%	83%	83%	78%
78.3%			62%	88%	81%	78%	85%	77%	90%	88%	77%	70%	67%	91%	79%	73%	73%	79%	79%	70%	69%	90%
82.5%			87%	86%	82%	78%	81%	87%	85%	86%	87%	77%	77%	86%	77%	78%	82%	88%	88%	77%	77%	85%
91.1%			90%	93%	93%	95%	96%	86%	87%	91%	93%	91%	81%	94%	93%	94%	94%	95%	90%	83%	90%	94%
94.3%			93%	94%	94%	96%	92%	92%	94%	97%	93%	93%	95%	94%	89%	95%	98%	97%	95%	93%	95%	96%
76.3%			66%	79%	87%	97%	64%	85%	84%	80%	82%	83%	46%	84%	66%	85%	85%	73%	78%	51%	76%	76%
73.9%			74%	71%	79%	88%	63%	77%	81%	82%	79%	72%	62%	78%	64%	82%	79%	73%	69%	64%	66%	75%
76.5%			89%	76%	80%	74%	77%	72%	72%	74%	76%	84%	72%	68%	78%	79%	81%	78%	74%	65%	83%	77%
81.6%			85%	83%	76%	84%	88%	75%	84%	83%	86%	80%	75%	82%	80%	83%	82%	82%	76%	77%	84%	87%
79.5%			91%	80%	73%	54%	87%	72%	49%	74%	71%	98%	85%	78%	88%	95%	78%	72%	92%	82%	84%	88%
79.8%			79%	79%	92%	79%	82%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%
77.1%			77%	85%	76%	63%	93%	82%	74%	61%	77%	74%	90%	78%	83%	73%	75%	38%	91%	81%	91%	80%
86.3%			89%	90%	95%	85%	81%	88%	85%	85%	87%	85%	65%	91%	85%	92%	87%	79%	89%	93%	86%	90%
76.9%			82%	85%	71%	84%	74%	91%	86%	89%	80%	81%	57%	82%	78%	73%	78%	64%	76%	54%	74%	79%
82.4%			84%	84%	84%	85%	88%	83%	77%	86%	83%	83%	81%	78%	85%	77%	84%	73%	85%	82%	85%	81%
86.2%			88%	93%	90%	87%	87%	86%	85%	85%	86%	85%	85%	84%	86%	85%	90%	83%	82%	84%	87%	86%
83.5%			84%	97%	90%	65%	95%	77%	94%	63%	86%	78%	66%	90%	86%	84%	85%	88%	65%	93%	93%	92%
84.7%			83%	89%	92%	87%	85%	88%	84%	85%	91%	87%	83%	87%	85%	83%	83%	79%	76%	85%	85%	76%
92.6%			89%	93%	94%	94%	90%	88%	96%	95%	96%	88%	92%	93%	94%	96%	94%	93%	95%	88%	91%	92%
89.1%			89%	89%	89%	89%	90%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
82.5%			77%	84%	90%	77%	81%	87%	79%	86%	87%	77%	77%	77%	77%	93%	92%	87%	80%	77%	77%	89%
91.4%			94%	95%	93%	93%	86%	94%	92%	98%	94%	92%	89%	92%	85%	93%	91%	88%	85%	92%	92%	90%
84.2%		91%	89%	94%	80%	70%	80%	92%	90%	87%	89%	88%	70%	91%	81%	80%	86%	82%	81%	71%	87%	90%
89.3%			83%	96%	96%	88%	91%	99%	61%	97%	82%	83%	96%	70%	96%	96%	97%	87%	90%	85%	96%	96%
81.3%			91%	85%	72%	80%	83%	82%	76%	86%	86%	85%	86%	78%	84%	67%	84%	83%	74%	80%	88%	76%
92.1%			91%	96%	96%	95%	92%	88%	79%	94%	96%	93%	94%	95%	89%	94%	91%	94%	82%	93%	94%	96%
83.3%			86%	93%	76%	93%	84%	88%	87%	87%	88%	92%	74%	88%	72%	87%	76%	86%	81%	72%	72%	83%
76.7%			86%	80%	82%	78%	67%	75%	78%	69%	72%	79%	86%	68%	69%	84%	81%	73%	64%	83%	78%	81%
82.7%			90%	83%	91%	92%	67%	76%	91%	89%	88%	85%	75%	86%	75%	90%	90%	82%	78%	75%	70%	81%
80.2%			77%	78%	78%	77%	72%	82%	86%	90%	93%	91%	79%	92%	75%	74%	78%	72%	66%	82%	91%	71%
72.0%			64%	67%	71%	81%	64%	70%	73%	85%	68%	76%	77%	72%	70%	74%	70%	80%	75%	65%	65%	73%
78.2%			81%	83%	91%	90%	74%	60%	81%	73%	81%	73%	81%	90%	62%	81%	95%	84%	62%	62%	76%	84%
72.9%		81%	88%	78%	87%	77%	76%	61%	57%	56%	62%	67%	61%	70%	70%	70%	67%	75%	73%	94%	79%	81%
90.0%			85%	93%	91%	91%	93%	87%	84%	89%	97%	92%	91%	95%	91%	91%	91%	88%	89%	87%	84%	91%
62.3%			63%	69%	72%	55%	76%	76%	54%	44%	58%	59%	48%	60%	49%	77%	66%	57%	55%	60%	75%	73%
84.5%			84%	89%	87%	88%	83%	88%	90%	96%	93%	86%	92%	93%	78%	67%	67%	86%	83%	78%	78%	84%
89.0%			99%	95%	90%	92%	94%	95%	87%	77%	87%	95%	74%	87%	82%	94%	78%	82%	95%	93%	95%	89%
86.6%			87%	85%	94%	86%	87%	87%	86%	86%	88%	86%	68%	88%	81%	86%	89%	87%	88%	92%	88%	93%
84.3%			92%	90%	87%	86%	62%	94%	85%	89%	96%	84%	60%	95%	66%	91%	89%	93%	83%	76%	77%	91%
82.0%			98%	95%	91%	90%	80%	83%	75%	82%	85%	85%	79%	79%	67%	84%	84%	78%	68%	81%	78%	78%
80.3%			79%	82%	88%	82%	75%	91%	94%	93%	88%	88%	73%	92%	77%	65%	77%	73%	65%	81%	78%	64%
81.5%		84%	75%	78%	82%	81%	72%	78%	85%	83%	80%	78%	81%	86%	91%	82%	89%	82%	89%	73%	79%	83%
86.1%		88%	90%	94%	85%	92%	82%	89%	89%	83%	81%	61%	92%	80%	72%	89%	94%	89%	82%	94%	89%	93%
81.5%			84%	75%	84%	87%	62%	75%	62%	82%	93%	85%	98%	85%	72%	84%	92%	90%	79%	72%	78%	90%
89.4%			81%	84%	89%	90%	94%	86%	97%	88%	87%	95%	86%	95%	87%	93%	93%	90%	83%	86%	91%	93%
82.8%			86%	77%	90%	85%	63%	83%	72%	87%	85%	97%	82%	83%	83%	85%	88%	84%	85%	71%	85%	84%
80.0%			90%	83%	88%	78%	64%	73%	74%	91%	91%	90%	78%	83%	83%	85%	90%	76%	52%	67%	80%	84%
76.8%			62%	76%	87%	94%	56%	71%	71%	83%	90%	63%	46%	90%	66%	93%	86%	92%	95%	68%	56%	91%
76.5%		73%	64%	79%	73%	84%	81%	85%	86%	83%	72%	86%	58%	82%	81%	67%	75%	78%	83%	78%	81%	57%
87.6%			95%	90%	96%	96%	72%	85%	93%	95%	94%	93%	81%	95%	73%	94%	94%	55%	84%	80%	95%	92%
89.1%			85%	90%	97%	93%	88%	80%	86%	92%	90%	85%	94%	90%	91%	83%	93%	82%	90%	91%	92%	90%
87.3%			89%	92%	89%	94%	87%	85%	91%	78%	92%	82%	72%	90%	92%	92%	80%	83%	88%	85%	91%	95%
91.1%		93%	77%	95%	91%	97%	89%	97%	91%	87%	95%	96%	92%	96%	83%	87%	97%	87%	84%	91%	90%	98%
94.2%			96%	95%	99%	97%	97%	87%	94%	97%	95%	94%	95%	94%	97%	94%	96%	94%	85%	89%	92%	97%
87.7%			89%	91%	91%	85%	70%	90%	88%	91%	89%	89%	93%	89%	86%		92%	92%	85%	87%	85%	85%
80.4%			79%	83%	80%	79%	93%	80%	79%	78%	79%	79%	79%	79%	79%	79%	79%	89%	79%	79%	79%	79%