DTeval

A Collective Intelligence Project

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Analysis: Gd4 C5 Dtef Global Dialogues Gd4 Environment%3Arural C5 - Run 02b4130...

Global Dialogues GD4 - Rural (5 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

AI Safety & Robustness

Interpersonal & Social Skill Modeling

Social interaction

Best Models (Coverage)

1.Claude Sonnet 4.5
80.2%
2.Claude Haiku 4.5
79.3%
3.GPT 4.1 Mini
79.0%
4.Claude Sonnet 4
79.0%
5.GPT 4.1
78.9%

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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		2nd 79.3%	4th 79.0%	1st 80.2%	8th 77.2%	13th 73.4%	7th 78.0%	6th 78.7%	5th 78.9%	3rd 79.0%	10th 75.5%	9th 76.8%	11th 75.1%	12th 74.2%
55.8%		63%	58%	70%	62%	40%	49%	57%	58%	47%	53%	48%	64%	56%
64.1%		63%	70%	65%	71%	38%	60%	68%	80%	71%	65%	65%	57%	60%
80.7%		80%	83%	84%	75%	87%	81%	82%	72%	75%	85%	85%	79%	81%
74.4%		76%	77%	80%	72%	77%	75%	78%	80%	68%	72%	76%	73%	63%
67.2%		71%	76%	79%	72%	53%	69%	72%	67%	64%	66%	58%	60%	67%
70.2%		71%	72%	80%	84%	64%	65%	74%	78%	83%	65%	86%	46%	44%
64.7%		79%	74%	79%	62%	56%	64%	68%	58%	64%	58%	57%	58%	64%
71.6%		76%	68%	56%	72%	72%	77%	81%	55%	73%	78%	77%	73%	73%
74.3%		83%	67%	75%	66%	75%	84%	77%	74%	81%	73%	73%	68%	70%
81.2%		77%	82%	82%	88%	88%	75%	68%	70%	76%	94%	88%	86%	81%
83.3%		84%	80%	90%	84%	86%	78%	87%	86%	78%	92%	83%	85%	70%
82.9%		88%	87%	87%	89%	78%	85%	89%	86%	86%	76%	89%	68%	70%
69.8%		74%	60%	71%	73%	70%	64%	77%	71%	63%	82%	65%	68%	69%
54.9%		74%	80%	60%	48%	43%	56%	52%	57%	56%	27%	43%	55%	63%
64.2%		49%	67%	72%	45%	64%	62%	59%	65%	72%	72%	75%	65%	68%
80.6%		85%	86%	85%	72%	78%	83%	78%	82%	87%	73%	80%	79%	80%
85.5%		88%	81%	89%	90%	92%	86%	94%	79%	88%	78%	83%	78%	86%
83.1%		80%	83%	84%	85%	76%	84%	84%	73%	83%	86%	79%	90%	93%
84.5%		81%	91%	85%	87%	84%	78%	82%	80%	92%	76%	89%	84%	89%
76.3%		90%	69%	75%	76%	62%	74%	71%	74%	88%	73%	84%	81%	75%
85.5%		87%	88%	80%	88%	82%	88%	84%	75%	91%	79%	90%	93%	87%
86.5%		88%	84%	88%	83%	85%	80%	90%	91%	82%	85%	89%	91%	89%
65.3%		67%	61%	73%	71%	68%	68%	79%	74%	64%	72%	69%	47%	36%
71.0%		76%	79%	83%	89%	61%	73%	73%	82%	68%	68%	48%	52%	71%
81.9%		82%	86%	81%	64%	83%	79%	79%	83%	83%	89%	83%	86%	87%
75.5%		73%	73%	79%	65%	76%	77%	74%	77%	79%	83%	74%	80%	72%
81.3%		73%	70%	80%	85%	81%	80%	92%	77%	82%	89%	82%	84%	82%
76.2%		77%	78%	78%	78%	50%	80%	90%	78%	78%	88%	78%	69%	69%
85.1%		91%	87%	91%	93%	73%	90%	86%	85%	91%	87%	73%	74%	85%
70.5%		78%	85%	85%	75%	56%	65%	67%	71%	66%	62%	61%	73%	73%
78.6%		82%	78%	81%	87%	81%	81%	86%	93%	68%	81%	86%	63%	55%
83.4%		85%	65%	64%	90%	82%	86%	86%	82%	90%	88%	87%	94%	85%
67.3%		76%	64%	79%	80%	58%	73%	77%	73%	70%	61%	48%	59%	57%
74.2%		72%	75%	83%	82%	66%	83%	87%	87%	80%	62%	65%	56%	67%
84.3%		81%	84%	82%	86%	86%	85%	85%	77%	83%	83%	87%	91%	86%
79.5%		83%	81%	83%	83%	81%	80%	82%	84%	82%	82%	83%	73%	57%
75.3%		82%	68%	67%	70%	83%	82%	72%	78%	70%	83%	70%	72%	82%
77.6%		77%	83%	83%	76%	79%	56%	58%	73%	80%	88%	80%	83%	93%
78.8%		79%	73%	84%	83%	83%	79%	87%	90%	83%	83%	83%	67%	51%
61.5%		57%	51%	55%	59%	71%	58%	49%	55%	66%	69%	70%	70%	70%
81.2%		88%	89%	88%	79%	72%	82%	89%	90%	84%	66%	74%	68%	87%
81.7%		78%	91%	83%	64%	89%	88%	81%	77%	91%	73%	78%	91%	78%
66.8%		72%	69%	75%	52%	62%	70%	70%	71%	64%	73%	56%	67%	67%
70.6%		68%	80%	79%	77%	64%	77%	73%	72%	66%	62%	73%	71%	56%
76.8%		78%	78%	73%	81%	76%	78%	76%	81%	78%	70%	81%	77%	71%
84.9%		80%	87%	91%	87%	71%	94%	87%	94%	91%	71%	82%	90%	79%
81.7%		83%	93%	86%	86%	74%	87%	83%	79%	82%	80%	82%	73%	74%
87.7%		95%	95%	95%	81%	78%	89%	78%	94%	85%	81%	96%	95%	78%
86.4%		95%	85%	85%	71%	82%	81%	93%	96%	86%	78%	92%	90%	89%
84.9%		83%	89%	80%	84%	87%	84%	83%	79%	85%	81%	89%	87%	93%
82.8%		83%	85%	90%	87%	78%	81%	79%	83%	84%	76%	84%	79%	88%
72.7%		78%	77%	82%	78%	67%	67%	76%	87%	65%	68%	70%	67%	63%
69.6%		73%	82%	80%	90%	54%	60%	65%	74%	74%	52%	60%	70%	71%
77.1%		79%	80%	70%	93%	67%	74%	79%	85%	84%	76%	76%	66%	73%
77.6%		76%	76%	84%	76%	76%	80%	81%	81%	87%	84%	79%	68%	61%
80.5%		84%	79%	83%	81%	75%	86%	88%	82%	82%	84%	73%	72%	78%
60.0%		52%	85%	68%	69%	43%	58%	67%	66%	57%	52%	69%	43%	51%
81.3%		87%	80%	79%	85%	81%	77%	88%	80%	78%	84%	78%	81%	79%
73.2%		72%	84%	86%	88%	51%	79%	82%	80%	78%	58%	62%	61%	70%
86.4%		89%	92%	89%	85%	80%	89%	80%	89%	91%	82%	87%	83%	87%
84.3%		89%	89%	87%	84%	84%	94%	89%	83%	79%	76%	76%	88%	78%
64.5%		73%	68%	72%	77%	41%	59%	65%	70%	55%	71%	57%	68%	63%
90.0%		94%	89%	93%	85%	87%	87%	90%	94%	95%	78%	91%	94%	93%
86.7%		89%	91%	88%	88%	93%	90%	90%	84%	84%	82%	88%	89%	71%
73.7%		72%	67%	83%	87%	82%	79%	72%	84%	75%	75%	75%	66%	41%
85.5%		84%	90%	95%	96%	70%	94%	85%	89%	92%	79%	83%	70%	85%
78.4%		83%	84%	82%	84%	63%	85%	84%	80%	74%	89%	68%	65%	78%
76.5%		77%	79%	78%	65%	83%	73%	75%	66%	79%	73%	77%	83%	87%
70.4%		68%	68%	61%	69%	75%	67%	67%	65%	68%	76%	75%	77%	79%
85.4%		97%	95%	82%	63%	86%	77%	80%	85%	95%	81%	81%	99%	89%
85.2%		89%	91%	89%	82%	91%	88%	80%	81%	88%	83%	78%	82%	86%
78.1%		85%	84%	88%	67%	79%	75%	69%	86%	87%	75%	76%	77%	67%
87.3%		91%	98%	88%	83%	81%	92%	83%	75%	90%	89%	89%	92%	84%
71.8%		82%	80%	80%	45%	62%	64%	84%	81%	81%	63%	82%	60%	69%
86.0%		90%	87%	82%	78%	90%	92%	84%	95%	88%	88%	88%	86%	70%
77.2%		81%	64%	65%	58%	90%	79%	75%	65%	83%	85%	86%	86%	86%
81.9%		82%	80%	84%	82%	77%	84%	84%	79%	77%	84%	84%	83%	85%
81.1%		88%	74%	91%	87%	61%	77%	80%	86%	84%	78%	78%	81%	89%
80.9%		85%	74%	85%	87%	80%	76%	83%	86%	80%	84%	80%	83%	69%
74.8%		74%	76%	77%	69%	75%	77%	78%	71%	85%	82%	78%	67%	63%
85.9%		89%	84%	89%	83%	82%	83%	80%	89%	89%	85%	89%	88%	87%
87.5%		95%	93%	92%	83%	78%	96%	94%	89%	87%	76%	93%	86%	76%
77.9%		87%	81%	84%	66%	75%	85%	73%	84%	81%	79%	71%	69%	78%
85.0%		88%	85%	89%	79%	82%	79%	92%	86%	89%	71%	89%	90%	86%
80.2%		61%	71%	94%	79%	85%	86%	83%	87%	88%	88%	88%	68%	64%
78.2%		79%	75%	78%	78%	83%	77%	74%	84%	84%	81%	79%	73%	71%
76.5%		77%	85%	78%	70%	83%	76%	67%	69%	82%	66%	82%	80%	79%
84.4%		83%	88%	88%	90%	71%	82%	82%	85%	85%	84%	81%	88%	90%
74.6%		75%	86%	79%	82%	61%	73%	77%	74%	73%	60%	62%	83%	85%
76.7%		86%	75%	76%	76%	69%	77%	71%	76%	76%	82%	72%	85%	76%
63.9%		59%	66%	66%	63%	60%	67%	71%	66%	61%	71%	66%	54%	61%
71.8%		81%	67%	80%	81%	58%	69%	80%	82%	87%	54%	69%	63%	63%
70.8%		85%	71%	66%	52%	83%	66%	69%	70%	71%	43%	86%	79%	79%
80.0%		83%	82%	82%	83%	64%	89%	86%	85%	84%	87%	76%	64%	75%
72.3%		78%	80%	69%	80%	81%	71%	67%	71%	65%	62%	62%	75%	79%
76.2%		69%	62%	77%	78%	80%	83%	84%	77%	76%	82%	88%	71%	64%
77.0%		79%	71%	88%	56%	89%	73%	54%	67%	74%	92%	94%	80%	84%
88.6%		89%	95%	96%	62%	85%	95%	89%	81%	91%	96%	87%	94%	92%
78.3%		80%	86%	86%	85%	57%	79%	84%	90%	90%	55%	74%	72%	80%
80.4%		86%	85%	84%	74%	84%	79%	78%	86%	86%	70%	82%	76%	75%
73.4%		75%	83%	79%	53%	80%	86%	82%	87%	75%	59%	69%	57%	69%
79.8%		80%	77%	88%	85%	75%	82%	86%	75%	76%	68%	76%	83%	86%
85.9%		87%	89%	94%	77%	88%	85%	81%	83%	86%	84%	89%	89%	85%
71.8%		73%	68%	73%	83%	53%	70%	75%	74%	78%	63%	75%	75%	73%
79.7%		78%	81%	78%	85%	65%	85%	86%	79%	85%	94%	79%	68%	73%
78.0%		61%	67%	69%	71%	74%	86%	91%	86%	88%	85%	77%	78%	81%
74.2%		88%	67%	29%	86%	63%	84%	91%	86%	83%	73%	62%	77%	75%
64.1%		61%	63%	69%	84%	40%	62%	69%	78%	69%	61%	61%	53%	63%
68.5%		71%	74%	72%	71%	72%	68%	65%	65%	73%	54%	73%	69%	63%
74.1%		76%	76%	80%	77%	76%	72%	81%	76%	68%	83%	60%	71%	67%
79.6%		74%	82%	81%	74%	79%	83%	83%	76%	75%	86%	78%	80%	84%
67.2%		70%	67%	74%	79%	57%	75%	66%	72%	66%	74%	69%	62%	43%
86.1%		86%	92%	86%	90%	84%	85%	90%	84%	91%	87%	82%	85%	77%
85.4%		94%	89%	94%	86%	91%	83%	89%	88%	86%	86%	86%	82%	56%
83.6%		79%	91%	88%	87%	82%	91%	89%	90%	86%	67%	83%	79%	75%
81.6%		78%	79%	85%	77%	82%	81%	80%	83%	83%	83%	82%	81%	87%