DTeval

A Collective Intelligence Project

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Analysis: Gd4 Dtef Global Dialogues Gd4 Environment%3Arural - Run 2daf0e8...

Global Dialogues GD4 - Rural

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

Social interaction

AI Safety & Robustness

Demographic Processes

General Knowledge

Mental Health & Crisis Support

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4.5
78.9%
2.Claude Sonnet 4
77.2%
3.Claude Haiku 4.5
77.2%
4.Gemini 2.5 Flash
77.1%
5.Llama 4 Maverick
77.1%

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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		3rd 77.2%	2nd 77.2%	1st 78.9%	4th 77.1%	11th 73.5%	5th 77.1%	6th 76.1%	7th 75.8%	8th 75.7%	10th 74.5%	12th 73.4%	13th 71.4%	9th 75.1%
53.3%		59%	55%	62%	54%	39%	52%	62%	53%	57%	56%	46%	54%	44%
67.5%		68%	71%	71%	79%	52%	59%	68%	81%	68%	73%	68%	50%	70%
80.6%		80%	82%	80%	82%	85%	81%	77%	73%	87%	83%	78%	74%	86%
71.9%		76%	69%	69%	63%	79%	72%	76%	73%	72%	72%	70%	66%	78%
67.7%		74%	75%	79%	68%	59%	64%	68%	70%	64%	71%	60%	57%	71%
70.5%		67%	68%	85%	74%	75%	78%	80%	68%	66%	65%	65%	73%	52%
37.4%		45%	42%	43%	45%	40%	37%	37%	30%	33%	19%	38%	38%	39%
77.9%		82%	74%	71%	74%	81%	80%	75%	75%	86%	81%	77%	73%	84%
79.7%		80%	77%	79%	75%	87%	86%	69%	81%	85%	85%	76%	69%	87%
73.9%		71%	57%	56%	57%	83%	75%	66%	74%	89%	85%	88%	75%	85%
83.4%		84%	85%	91%	86%	85%	90%	91%	85%	78%	75%	78%	70%	86%
81.8%		89%	89%	87%	89%	72%	91%	84%	84%	77%	72%	81%	73%	76%
63.8%		65%	57%	71%	69%	67%	71%	75%	70%	57%	57%	57%	52%	62%
54.4%		58%	58%	65%	63%	60%	43%	60%	50%	48%	43%	43%	58%	58%
72.5%		66%	80%	73%	75%	70%	76%	72%	77%	80%	75%	70%	59%	69%
80.0%		87%	82%	83%	77%	79%	79%	82%	75%	87%	80%	80%	65%	84%
79.8%		85%	83%	82%	92%	75%	83%	83%	84%	70%	74%	74%	70%	82%
82.6%		84%	75%	86%	84%	88%	89%	83%	83%	81%	87%	69%	82%	83%
87.5%		88%	91%	87%	91%	78%	80%	87%	93%	89%	93%	89%	87%	85%
68.8%		75%	66%	63%	74%	62%	66%	67%	62%	71%		75%	67%	78%
86.2%		85%	82%	90%	91%	86%	87%	87%	90%	86%	83%	86%	84%	83%
86.8%		93%	85%	85%	89%	84%	91%	80%	89%	88%	75%	89%	91%	89%
71.0%		71%	71%	77%	77%	79%	82%	72%	71%	61%	91%	57%	59%	55%
73.8%		66%	77%	83%	89%	59%	77%	74%	86%	77%	77%	63%	54%	78%
79.2%		80%	83%	81%	70%	77%	76%	74%	73%	86%	74%	83%	86%	87%
45.5%		54%	47%	47%	41%	53%	50%	51%	31%	45%	34%	39%	52%	47%
81.8%		65%	74%	72%	86%	87%	89%	85%	81%	91%	90%	82%	85%	76%
65.3%		67%	64%	71%	61%	48%	72%	74%	67%	67%	69%	67%	53%	69%
82.4%		84%	84%	88%	90%	73%	92%	91%	88%	84%	88%	73%	61%	75%
64.8%		66%	68%	77%	70%	52%	65%	70%	63%	67%	73%	58%	56%	58%
81.9%		79%	83%	86%	92%	86%	88%	84%	82%	71%	81%	81%	88%	64%
84.2%		74%	92%	76%	93%	81%	86%	80%	79%	77%	90%	84%	88%	94%
64.7%		63%	64%	69%	70%	68%	79%	68%	58%	75%	68%	45%	55%	59%
75.6%		77%	72%	89%	91%	73%	83%	73%	84%	74%	69%	69%	56%	73%
80.0%		76%	81%	77%	82%	81%	77%	73%	78%	71%	77%	93%	87%	87%
80.3%		81%	91%	87%	71%	86%	80%	83%	82%	76%	82%	82%	73%	70%
79.0%		81%	81%	69%	78%	86%	70%	74%	80%	83%	83%	77%	79%	86%
67.3%		66%	71%	82%	67%	86%	56%	47%	68%	69%	53%	68%	80%	62%
82.5%		78%	82%	89%	83%	84%	86%	92%	81%	78%	90%	78%	85%	66%
52.1%		50%	51%	56%	54%	65%	46%	43%	40%	50%	53%	57%	68%	44%
85.8%		92%	91%	91%	91%	77%	88%	89%	86%	88%	74%	90%	70%	89%
83.9%		87%	90%	92%	77%	92%	86%	81%	86%	93%	73%	87%	87%	60%
80.7%		86%	83%	81%	80%	73%	83%	84%	82%	88%	87%	73%	68%	81%
73.6%		73%	80%	68%	68%	65%	83%	79%	84%	72%	84%	78%	65%	58%
77.5%		78%	76%	84%	72%	79%	80%	80%	79%	78%	81%	72%	72%	77%
87.6%		87%	90%	87%	93%	74%	92%	87%	94%	93%	68%	86%	91%	97%
82.9%		88%	86%	88%	88%	79%	88%	86%	89%	78%	71%	78%	80%	79%
84.3%		85%	90%	85%	78%	72%	89%	78%	85%	81%	86%	96%	93%	78%
90.5%		97%	87%	91%	94%	87%	93%	94%	96%	94%	75%	93%	94%	82%
88.2%		88%	88%	89%	82%	87%	85%	86%	90%	89%	94%	89%	89%	91%
85.2%		89%	92%	89%	83%	87%	87%	81%	87%	82%	83%	83%	77%	88%
74.4%		66%	85%	91%	83%	58%	74%	82%	90%	74%	64%	68%	64%	68%
56.8%		58%	55%	59%	63%	51%	44%	57%	55%	57%	66%	57%	59%	58%
78.5%		77%	83%	75%	80%	77%	80%	83%	91%	87%	59%	84%	71%	73%
76.6%		81%	76%	84%	70%	76%	84%	80%	79%	78%	79%	78%	65%	66%
79.9%		79%	83%	84%	85%	80%	79%	85%	83%	75%	86%	63%	70%	87%
72.2%		73%	77%	76%	60%	52%	84%	74%	73%	69%	76%	76%	77%	72%
76.8%		78%	71%	79%	84%	79%	84%	88%	79%	71%	71%	71%	67%	76%
72.5%		72%	68%	85%	86%	60%	78%	66%	85%	78%	66%	66%	57%	76%
84.1%		88%	80%	89%	82%	84%	85%	80%	83%	86%	82%	82%	82%	90%
84.3%		89%	83%	83%	84%	87%	91%	87%	77%	86%	87%	76%	73%	93%
61.5%		63%	68%	68%	65%	45%	64%	72%	65%	51%	77%	52%	55%	55%
92.7%		90%	96%	96%	92%	92%	97%	91%	95%	96%	79%	95%	91%	95%
89.0%		92%	96%	88%	90%	92%	87%	92%	90%	88%	85%	82%	80%	95%
71.7%		59%	75%	83%	79%	85%	79%	78%	70%	66%	75%	61%	62%	60%
86.2%		84%	95%	99%	96%	78%	94%	89%	93%	81%	80%	84%	60%	88%
74.8%		77%	79%	84%	81%	67%	85%	77%	78%	68%	80%	60%	57%	80%
75.3%		82%	78%	71%	68%	82%	62%	68%	66%	76%	74%	81%	84%	87%
68.8%		66%	65%	67%	62%	71%	68%	67%	64%	66%	79%	70%	77%	73%
90.8%		92%	90%	95%	95%	85%	76%	93%	90%	96%	93%	95%	88%	93%
70.0%		78%	68%	77%	68%	75%	73%	71%	67%	78%	66%	66%	52%	71%
75.8%		83%	83%	80%	65%	84%	75%	79%	64%	83%	79%	62%	70%	79%
88.2%		90%	90%	84%	84%	96%	92%	81%	79%	95%	95%	89%	79%	93%
71.6%		81%	78%	71%	77%	51%	64%	81%	67%	81%	68%	76%	64%	72%
88.5%		88%	90%	95%	91%	91%	84%	83%	94%	93%	76%	88%	86%	91%
76.2%		80%	78%	70%	76%	86%	84%	62%	67%	79%	75%	82%	76%	76%
79.6%		83%	78%	80%	73%	81%	86%	84%	80%	73%	84%	73%	79%	81%
74.5%		79%	74%	81%	79%	58%	79%	82%	74%	79%	87%	64%	64%	68%
82.8%		88%	82%	88%	74%	90%	88%	89%	86%	80%	74%	75%	74%	89%
75.7%		81%	76%	81%	69%	75%	85%	78%	79%	79%	78%	69%	67%	67%
84.9%		88%	83%	80%	86%	75%	81%	85%	79%	81%	96%	86%	89%	95%
85.4%		87%	83%	83%	91%	78%	89%	88%	91%	84%	86%	84%	83%	83%
76.9%		81%	79%	79%	74%	85%	82%	69%	75%	81%	78%	71%	68%	78%
86.5%		89%	89%	87%	91%	76%	89%	93%	84%	84%	89%	82%	87%	84%
81.8%		79%	79%	91%	78%	85%	92%	83%	90%	79%	81%	76%	75%	75%
81.5%		82%	76%	81%	83%	82%	82%	85%	84%	79%	81%	79%	79%	86%
75.5%		76%	77%	83%	74%	80%	75%	71%	72%	80%	60%	78%	77%	78%
83.8%		88%	81%	88%	88%	72%	86%	88%	85%	89%	85%	77%	84%	79%
75.5%		81%	82%	80%	83%	77%	73%	68%	74%	73%	59%	73%	74%	84%
71.6%		75%	72%	64%	76%	61%	71%	72%	64%	71%	71%	78%	80%	76%
61.8%		60%	60%	66%	66%	64%	61%	65%	55%	54%	66%	47%	66%	73%
54.1%		50%	51%	45%	55%	51%	37%	52%	57%	66%	55%	58%	63%	63%
57.5%		65%	59%	62%	45%	56%	55%	57%	55%	49%	62%	67%	67%	48%
74.8%		76%	81%	81%	80%	59%	86%	80%	74%	74%	79%	74%	63%	66%
73.9%		69%	80%	80%	76%	74%	78%	69%	76%	76%	62%	78%	74%	69%
83.7%		80%	93%	90%	75%	88%	80%	70%	77%	89%	89%	89%	80%	88%
77.5%		79%	80%	79%	67%	86%	71%	63%	68%	72%	87%	88%	92%	75%
90.4%		92%	96%	92%	89%	95%	98%	83%	88%	98%	83%	87%	85%	89%
82.5%		87%	78%	92%	90%	61%	90%	80%	93%	90%	74%	80%	66%	92%
80.5%		88%	90%	88%	81%	80%	71%	76%	84%	82%	70%	81%	74%	81%
72.3%		84%	82%	79%	75%	67%	79%	74%	86%	69%	69%	58%	51%	67%
72.2%		71%	75%	90%	72%	75%	71%	73%	71%	67%	67%	67%	66%	74%
40.9%		54%	47%	47%	41%	40%	34%	36%	28%	42%	38%	38%	54%	33%
70.1%		67%	65%	68%	80%	60%	71%	76%	71%	71%	72%	71%	68%	71%
77.0%		80%	79%	76%	91%	52%	90%	89%	82%	74%	70%	74%	72%	72%
82.6%		85%	81%	82%	87%	78%	85%	83%	85%	83%	77%	77%	85%	86%
80.9%		88%	90%	81%	89%	71%	88%	91%	87%	73%	76%	79%	56%	83%
63.8%		61%	65%	78%	75%	45%	58%	62%	80%	68%	68%	61%	44%	64%
61.6%		64%	69%	75%	69%	67%	59%	59%	50%	48%	39%	69%	66%	67%
73.4%		77%	80%	82%	72%	78%	71%	81%	61%	77%	77%	60%	67%	71%
82.9%		84%	88%	84%	83%	81%	77%	82%	82%	81%	82%	86%	81%	87%
63.4%		64%	61%	61%	72%	47%	65%	71%	61%	65%	80%	65%	61%	51%
52.2%		67%	56%	55%	50%	53%	44%	46%	38%	50%	50%	50%	67%	53%
86.8%		96%	91%	93%	88%	91%	90%	89%	92%	80%	79%	80%	75%	85%
83.1%		79%	92%	90%	89%	84%	88%	84%	86%	78%	71%	83%	87%	69%
77.6%		78%	76%	79%	77%	83%	78%	75%	78%	77%	78%	77%	66%	87%