DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Country%3Akenya Ctx - Run 9a45dd5...

Global Dialogues GD4 - Kenya (with context)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Information Ecology & Synthetic Content Proliferation

Social interaction

AI Safety & Robustness

Cognitive Impact & Dependency

Demographic Processes

Best Models (Coverage)

1.Claude Sonnet 4.5
83.3%
2.GPT 4.1
82.7%
3.Claude Sonnet 4
82.6%
4.Gemini 2.5 Flash
82.0%
5.Claude Haiku 4.5
81.6%

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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		5th 81.6%	3rd 82.6%	1st 83.3%	4th 82.0%	13th 74.3%	8th 80.3%	6th 81.1%	2nd 82.7%	7th 80.7%	12th 74.6%	10th 77.4%	11th 77.1%	9th 80.2%
72.2%		56%	77%	74%	80%	50%	69%	75%	78%	72%	75%	81%	75%	77%
76.5%		93%	78%	82%	94%	61%	76%	88%	89%	68%	61%	61%	67%	77%
73.9%		76%	75%	79%	81%	64%	77%	73%	83%	73%	62%	81%	65%	72%
86.2%		90%	86%	90%	82%	82%	94%	84%	87%	90%	88%	72%	85%	90%
77.5%		84%	85%	86%	77%	71%	85%	76%	80%	75%	63%	71%	72%	83%
83.2%		79%	89%	85%	87%	74%	83%	86%	88%	84%	76%	84%	82%	85%
65.5%		80%	83%	89%	79%	52%	60%	66%	56%	52%	52%	52%	52%	78%
72.6%		77%	67%	79%	74%	61%	75%	65%	79%	71%	83%	75%	65%	73%
82.8%		85%	83%	86%	77%	76%	86%	84%	87%	87%	82%	79%	86%	78%
64.5%		62%	61%	84%	49%	68%	60%	80%	59%	77%	57%	52%	62%	68%
85.6%		84%	93%	91%	98%	83%	86%	82%	93%	86%	78%	79%	79%	81%
87.9%		68%	88%	89%	96%	86%	93%	79%	90%	96%	95%	83%	88%	92%
85.0%		85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%
69.0%		87%	86%	63%	77%	60%	63%	74%	68%	74%	66%	58%	58%	63%
73.7%		74%	74%	73%	73%	84%	74%	69%	76%	78%	60%	64%	89%	70%
85.1%		93%	91%	93%	85%	80%	90%	87%	93%	93%	57%	86%	65%	93%
64.3%		68%	74%	74%	81%	47%	65%	63%	67%	57%	62%	60%	65%	53%
85.4%		77%	83%	90%	90%	87%	84%	91%	90%	86%	75%	79%	88%	90%
85.1%		86%	87%	85%	81%	84%	89%	90%	85%	86%	81%	81%	86%	85%
64.2%		67%	63%	64%	64%	51%	71%	61%	65%	63%	77%	68%	60%	61%
89.1%		91%	90%	95%	90%	93%	84%	90%	93%	92%	72%	88%	90%	90%
92.8%		94%	87%	92%	95%	92%	93%	92%	91%	94%	94%	94%	94%	94%
89.8%		85%	93%	92%	93%	80%	89%	92%	93%	89%	86%	91%	91%	93%
73.6%		91%	71%	69%	81%	69%	76%	73%	81%	85%	72%	55%	51%	83%
75.8%		63%	81%	79%	75%	66%	73%	77%	77%	84%	76%	79%	72%	83%
82.5%		92%	82%	80%	84%	84%	57%	84%	89%	84%	84%	84%	84%	84%
82.2%		77%	85%	83%	88%	82%	85%	76%	83%	82%	79%	84%	82%	83%
74.2%		65%	76%	85%	82%	62%	72%	76%	85%	76%	73%	69%	69%	75%
78.5%		83%	86%	84%	71%	75%	84%	75%	83%	75%	77%	76%	73%	79%
83.8%		74%	87%	91%	90%	73%	83%	88%	89%	85%	67%	89%	89%	84%
87.9%		91%	84%	82%	88%	88%	85%	88%	87%	91%	91%	90%	91%	87%
85.4%		89%	90%	84%	95%	86%	79%	91%	79%	85%	75%	82%	91%	84%
75.5%		85%	79%	82%	85%	62%	70%	86%	77%	77%	82%	78%	51%	67%
72.2%		75%	73%	84%	86%	60%	76%	73%	79%	81%	53%	81%	49%	69%
85.8%		92%	90%	89%	67%	81%	94%	89%	92%	91%	53%	96%	88%	94%
93.4%		94%	93%	93%	95%	92%	94%	94%	89%	97%	89%	95%	96%	93%
82.7%		89%	75%	76%	92%	68%	93%	77%	90%	93%	83%	82%	86%	71%
80.9%		86%	67%	82%	83%	81%	81%	81%	85%	82%	81%	81%	81%	81%
84.5%		83%	86%	91%	86%	78%	89%	84%	89%	89%	72%	84%	83%	84%
81.0%		81%	82%	78%	81%	81%	81%	81%	81%	81%	83%	81%	81%	81%
83.1%		88%	89%	86%	80%	76%	90%	84%	89%	83%	62%	87%	77%	89%
85.2%		94%	79%	93%	82%	88%	91%	87%	79%	93%	77%	73%	90%	81%
82.3%		91%	86%	88%	89%	69%	81%	88%	89%	83%	69%	71%	82%	84%
79.0%		77%	69%	71%	76%	92%	90%	84%	86%	68%	72%	83%	89%	70%
77.6%		84%	88%	78%	82%	84%	87%	68%	88%	63%	61%	74%	69%	83%
80.3%		85%	85%	86%	79%	56%	81%	82%	89%	82%	78%	79%	82%	80%
76.5%		85%	76%	55%	85%	80%	70%	80%	74%	78%	79%	79%	77%	76%
74.3%		98%	91%	87%	89%	10%	76%	68%	74%	67%	60%	66%	84%	96%
90.8%		87%	92%	92%	94%	88%	89%	96%	93%	88%	88%	94%	86%	94%
83.1%		82%	82%	86%	80%	85%	87%	80%	93%	80%	81%	81%	79%	84%
86.5%		85%	88%	90%	85%	84%	89%	89%	86%	86%	86%	86%	86%	85%
79.9%		71%	82%	88%	92%	77%	80%	78%	76%	76%	88%	79%	73%	79%
73.8%		73%	79%	85%	99%	49%	74%	74%	71%	68%	68%	79%	72%	68%
78.1%		88%	69%	87%	85%	70%	78%	75%	81%	86%	83%	72%	69%	72%
92.0%		92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
82.8%		78%	91%	95%	60%	77%	82%	91%	87%	82%	82%	84%	82%	85%
68.4%		70%	68%	61%	79%	65%	84%	73%	74%	64%	36%	71%	68%	76%
84.2%		85%	85%	85%	85%	75%	85%	85%	85%	85%	85%	85%	85%	85%
75.5%		82%	87%	87%	81%	68%	90%	72%	82%	81%	36%	69%	61%	86%
80.8%		81%	81%	83%	74%	80%	80%	83%	79%	84%	82%	83%	75%	86%
76.3%		81%	85%	86%	55%	79%	70%	73%	78%	67%	76%	85%	86%	71%
76.9%		63%	86%	79%	73%	76%	79%	85%	83%	75%	67%	84%	80%	70%
79.2%		82%	91%	89%	74%	85%	82%	88%	84%	71%	71%	71%	71%	71%
82.5%		85%	85%	88%	86%	85%	79%	87%	85%	81%	77%	78%	76%	80%
93.0%		84%	94%	92%	92%	97%	91%	96%	94%	91%	95%	95%	94%	94%
64.2%		58%	70%	67%	86%	54%	71%	76%	77%	68%	40%	52%	49%	67%
71.8%		73%	79%	79%	88%	60%	78%	86%	85%	64%	56%	59%	58%	68%
81.1%		85%	84%	79%	82%	81%	77%	75%	81%	86%	78%	79%	80%	87%
74.2%		75%	76%	72%	73%	79%	70%	73%	74%	79%	75%	75%	69%	74%
70.1%		87%	61%	83%	51%	65%	59%	64%	58%	87%	85%	76%	69%	66%
71.1%		70%	78%	76%	70%	71%	69%	70%	70%	70%	70%	70%	70%	70%
81.4%		86%	94%	83%	66%	89%	86%	70%	81%	72%	76%	82%	88%	85%
82.2%		70%	80%	77%	93%	71%	88%	89%	87%	78%	65%	88%	96%	86%
66.2%		56%	69%	63%	69%	83%	71%	72%	64%	61%	61%	70%	61%	61%
84.8%		88%	86%	86%	84%	89%	87%	93%	88%	79%	79%	78%	78%	88%
86.0%		87%	92%	94%	83%	79%	88%	87%	86%	81%	68%	97%	87%	89%
89.8%		87%	94%	97%	86%	94%	87%	83%	93%	91%	80%	88%	94%	94%
86.2%		89%	91%	87%	85%	76%	90%	87%	83%	93%	81%	82%	88%	88%
85.2%		81%	90%	88%	91%	72%	84%	90%	90%	80%	94%	79%	79%	89%
91.8%		92%	92%	92%	92%	90%	92%	92%	92%	92%	92%	92%	92%	92%
74.4%		71%	79%	83%	71%	71%	81%	74%	82%	71%	71%	71%	71%	71%
91.0%		86%	90%	97%	88%	92%	96%	81%	97%	96%	83%	88%	93%	96%
79.0%		83%	86%	86%	85%	60%	80%	85%	90%	87%	73%	73%	66%	73%
87.0%		87%	86%	90%	85%	90%	93%	88%	78%	83%	88%	87%	88%	88%
82.9%		86%	83%	72%	80%	84%	80%	81%	85%	85%	92%	81%	81%	88%
84.1%		82%	86%	93%	93%	73%	84%	87%	91%	81%	78%	82%	80%	83%
73.1%		72%	85%	77%	87%	84%	75%	80%	76%	76%	58%	58%	64%	58%
75.8%		90%	75%	72%	62%	67%	79%	72%	72%	89%	87%	67%	74%	79%
73.0%		81%	82%	81%	85%	63%	77%	79%	79%	76%	60%	60%	60%	66%
75.6%		77%	83%	91%	90%	44%	48%	92%	90%	83%	86%	68%	57%	74%
69.5%		73%	76%	80%	86%	60%	67%	76%	69%	72%	37%	68%	69%	71%
69.3%		76%	83%	77%	84%	66%	46%	71%	80%	76%	76%	48%	48%	70%
69.2%		86%	84%	89%	70%	58%	69%	72%	66%	61%	47%	37%	87%	73%
83.5%		79%	88%	88%	84%	79%	79%	80%	90%	88%	88%	73%	89%	81%
64.6%		66%	68%	70%	59%	77%	68%	59%	58%	63%	70%	61%	59%	62%
83.5%		92%	85%	87%	75%	71%	88%	91%	94%	85%	90%	81%	73%	73%
82.3%		93%	88%	88%	70%	82%	90%	82%	85%	85%	56%	73%	84%	94%
87.7%		89%	90%	95%	81%	83%	87%	89%	90%	81%	81%	92%	89%	93%
82.6%		91%	84%	80%	77%	70%	89%	85%	87%	85%	70%	89%	79%	88%
85.9%		88%	94%	90%	92%	86%	81%	88%	85%	93%	74%	72%	79%	95%
82.2%		75%	87%	86%	89%	85%	79%	81%	91%	90%	52%	83%	82%	89%
78.5%		75%	86%	86%	72%	67%	78%	74%	78%	76%	91%	93%	72%	72%
85.0%		88%	91%	87%	92%	72%	80%	79%	83%	76%	87%	92%	86%	92%
73.5%		91%	83%	83%	87%	48%	59%	70%	84%	76%	79%	71%	60%	64%
77.0%		77%	75%	83%	84%	74%	77%	70%	83%	80%	79%	66%	81%	72%
84.1%		90%	81%	85%	87%	74%	84%	86%	86%	85%	85%	83%	82%	85%
83.1%		85%	82%	88%	91%	83%	81%	92%	87%	91%	76%	74%	74%	76%
74.2%		76%	71%	75%	87%	59%	76%	79%	87%	73%	89%	57%	68%	68%
72.8%		62%	67%	61%	83%	70%	84%	81%	75%	85%	52%	88%	61%	78%
83.3%		85%	82%	86%	92%	63%	83%	90%	90%	85%	88%	77%	82%	80%
76.2%		78%	80%	79%	62%	74%	75%	79%	74%	78%	64%	84%	81%	82%
85.2%		90%	87%	89%	88%	70%	92%	89%	93%	91%	77%	94%	67%	80%
84.3%		89%	85%	76%	87%	82%	87%	83%	86%	87%	83%	83%	84%	84%
90.6%		94%	91%	91%	88%	91%	91%	95%	89%	91%	89%	86%	92%	90%
83.7%		88%	87%	88%	87%	50%	87%	85%	87%	88%	83%	74%	96%	88%
74.5%		70%	76%	73%	70%	93%	72%	70%	70%	70%	82%	70%	77%	75%