DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Environment%3Arural Ctx - Run b8d5c1c...

Global Dialogues GD6 - Rural (with context)

DTEF: Predict response distributions for Rural. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
84.0%
2.Claude Sonnet 4
83.8%
3.GPT 4.1
82.6%
4.Llama 4 Maverick
82.0%
5.Mistral Medium 3
81.9%

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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		7th 81.7%	2nd 83.8%	1st 84.0%	8th 80.9%	13th 74.8%	4th 82.0%	5th 81.9%	3rd 82.6%	6th 81.7%	12th 76.2%	10th 79.9%	11th 79.1%	9th 80.6%
72.8%		82%	72%	70%	83%	50%	79%	90%	79%	69%	54%	69%	70%	80%
80.2%		79%	85%	90%	83%	82%	78%	80%	83%	80%	77%	75%	75%	76%
78.7%		80%	82%	84%	83%	76%	80%	69%	83%	80%	71%	78%	80%	77%
80.8%		79%	83%	82%	83%	81%	82%	84%	83%	81%	63%	85%	80%	84%
82.2%		89%	85%	87%	95%	67%	80%	83%	89%	87%	85%	70%	68%	83%
73.2%		84%	87%	74%	68%	59%	87%	72%	62%	80%	71%	67%	79%	62%
85.8%		86%	88%	88%	91%	89%	90%	77%	84%	84%	87%	76%	88%	87%
83.1%		86%	81%	78%	92%	65%	85%	81%	78%	92%	76%	94%	83%	89%
95.4%		96%	99%	96%	95%	92%	96%	97%	97%	95%	99%	94%	87%	97%
73.7%		78%	80%	82%	76%	63%	67%	75%	79%	70%	71%	78%	74%	65%
74.5%		69%	71%	72%	86%	61%	74%	81%	83%	77%	78%	73%	67%	76%
83.5%		83%	82%	82%	84%	84%	87%	83%	84%	84%	86%	89%	82%	76%
89.2%		97%	97%	97%	90%	66%	89%	91%	90%	88%	90%	88%	89%	88%
89.5%		84%	88%	90%	90%	87%	90%	90%	90%	93%	89%	92%	90%	90%
59.7%		70%	69%	58%	81%	50%	54%	53%	86%	48%	43%	39%	64%	61%
71.9%		87%	83%	87%	76%	10%	74%	70%	79%	83%	51%	81%	63%	91%
84.7%		70%	90%	89%	87%	88%	77%	77%	87%	92%	90%	87%	82%	85%
59.6%		61%	70%	65%	54%	63%	52%	55%	53%	66%	69%	46%	55%	66%
76.5%		87%	89%		69%	64%	84%	92%	85%	85%	65%	70%	47%	81%
73.0%		83%	86%	86%	83%	63%	76%	61%	67%	70%	63%	64%	71%	76%
82.8%		73%	90%	84%	91%	74%	82%	87%	91%	81%	86%	87%	75%	76%
81.9%		82%	82%	82%	82%	82%	81%	82%	82%	82%	82%	82%	82%	82%
79.5%		89%	89%	91%	80%	80%	75%	84%	89%	75%	55%	67%	83%	77%
75.5%		81%	73%	81%	70%	76%	80%	76%	78%	84%	53%	83%	72%	75%
79.2%		84%	92%	88%	80%	61%	84%	87%	87%	72%	72%	79%	64%	80%
77.2%		84%	80%	83%	58%	66%	85%	84%	85%	80%	60%	89%	70%	80%
84.1%		80%	86%	83%	87%	88%	81%	89%	82%	82%	82%	82%	89%	82%
74.6%		82%	78%	86%	78%	77%	80%	83%	10%	80%	79%	79%	79%	79%
81.8%		85%	87%	82%	93%	79%	89%	86%	82%	73%	70%	82%	74%	81%
72.5%		79%	79%	75%	73%	62%	77%	80%	80%	64%	73%	75%	73%	52%
81.2%		70%	82%	82%	86%	65%	92%	85%	86%	88%	87%	70%	87%	75%
72.8%		76%	81%	81%	86%	55%	64%	85%	90%	86%	54%	64%	58%	66%
75.2%		87%	81%	87%	84%	61%	79%	72%	82%	73%	84%	74%	56%	57%
90.4%		91%	90%	91%	87%	89%	93%	89%	93%	89%	91%	90%	90%	92%
90.8%		95%	94%	92%	93%	89%	92%	95%	95%	91%	73%	94%	86%	91%
79.7%		81%	84%	85%	77%	69%	83%	76%	82%	81%	73%	84%	84%	77%
71.9%		76%	63%	61%	55%	86%	68%	64%	65%	75%	79%	84%	86%	73%
92.2%		94%	95%	94%	84%	86%	96%	94%	92%	95%	95%	95%	84%	95%
82.0%		83%	80%	81%	73%	73%	85%	86%	82%	83%	76%	88%	88%	88%
76.6%		73%	84%	84%	83%	69%	76%	81%	79%	75%	59%	74%	80%	79%
70.9%		77%	74%	72%	76%	68%	66%	74%	75%	68%	65%	77%	68%	62%
72.8%		85%	89%	93%	43%	68%	53%	76%	69%	72%	72%	76%	61%	90%
80.2%		72%	79%	76%	87%	84%	87%	82%	91%	85%	63%	86%	77%	74%
88.2%		88%	89%	92%	90%	87%	91%	92%	93%	91%	70%	85%	90%	88%
92.9%		96%	95%	91%	94%	88%	93%	93%	95%	95%	93%	94%	92%	89%
82.8%		90%	89%	91%	80%	46%	80%	90%	88%	83%	87%	85%	85%	83%
93.1%		93%	96%	94%	84%	90%	97%	94%	95%	95%	95%	92%	90%	95%
87.8%		91%	89%	85%	85%	93%	92%	86%	85%	85%	85%	85%	88%	93%
89.2%		93%	92%	88%	92%	87%	91%	84%	89%	91%	82%	90%	91%	89%
86.1%		86%	86%	86%	86%	87%	86%	86%	86%	86%	86%	86%	86%	86%
88.6%		85%	89%	85%	93%	71%	94%	87%	92%	93%	94%	84%	91%	94%
75.2%		72%	74%	81%	79%	71%	73%	77%	84%	82%	81%	67%	68%	68%
82.7%		85%	83%	84%	85%	75%	85%	73%	77%	88%	89%	72%	91%	88%
77.8%		85%	84%	90%	78%	77%	88%	83%	89%	73%	72%	76%	57%	59%
82.6%		79%	86%	84%	77%	85%	86%	78%	87%	85%	82%	82%	81%	82%
77.1%		85%	85%	83%	72%	39%	82%	82%	85%	80%	75%	84%	71%	79%
84.1%		85%	89%	90%	86%	56%	85%	86%	88%	88%	83%	88%	83%	86%
64.0%		66%	67%		76%	58%	71%	77%	74%	57%	59%	47%	59%	57%
87.8%		87%	86%	86%	90%	79%	87%	87%	89%	91%	90%	90%	90%	90%
94.8%		95%	95%	95%	95%	93%	95%	95%	95%	95%	95%	95%	95%	95%
77.9%		69%	85%	87%	76%	71%	78%	82%	83%	75%	73%	80%	82%	72%
83.4%		75%	85%	85%	90%	90%	85%	90%	86%	75%	76%	88%	85%	74%
76.5%		61%	69%	77%	55%	88%	79%	81%	60%	89%	89%	73%	86%	87%
77.5%		70%	80%	81%	81%	79%	78%	80%	85%	73%	81%	73%	73%	73%
87.4%		80%	91%	90%	90%	83%	90%	91%	92%	83%	77%	87%	88%	94%
78.2%		71%	88%	97%	56%	79%	76%	87%	79%	74%	81%	77%	80%	71%
87.7%		78%	96%	92%	86%	97%	83%	85%	86%	89%	80%	90%	91%	87%
80.2%		80%	78%	80%	75%	76%	85%	74%	78%	86%	76%	86%	89%	80%
85.2%		86%	86%	81%	90%	84%	91%	91%	86%	91%	69%	80%	90%	83%
73.5%		87%	77%	65%	51%	74%	66%	58%	75%	74%	79%	79%	90%	81%
86.7%		82%	75%		89%	89%	86%	84%	87%	93%	82%	93%	86%	95%
74.6%		92%	77%	84%	74%	84%	70%	74%	61%	56%	74%	70%	82%	72%
55.8%		51%	62%	55%	77%	40%	65%	57%	63%	58%	40%	53%	47%	57%
76.2%		78%	81%	80%	69%	79%	76%	78%	70%	80%	78%	65%	83%	74%
83.6%		87%	83%	87%	87%	69%	81%	78%	85%	87%	82%	87%	87%	87%
79.1%		70%	82%	79%	79%	83%	79%	83%	73%	77%	75%	91%	76%	81%
94.8%		95%	95%	95%	95%	93%	95%	95%	95%	95%	95%	95%	95%	95%
80.9%		76%	84%	85%	84%	72%	85%	88%	84%	82%	80%	82%	76%	74%
84.5%		87%	83%	84%	87%	87%	87%	82%	84%	84%	77%	87%	82%	88%
68.4%		76%	74%	76%	77%	41%	73%	59%	76%	88%	46%	51%	76%	76%
76.5%		63%	73%	88%	88%	68%	88%	88%	85%	88%	24%	65%	88%	88%
81.0%		85%	83%	86%	88%	76%	79%	84%	79%	80%	85%	75%	69%	84%
81.6%		82%	82%	82%	82%	77%	82%	82%	82%	82%	82%	82%	82%	82%
83.3%		83%	79%	86%	82%	88%	82%	80%	89%	83%	82%	82%	83%	84%
86.8%		94%	94%	90%	60%	93%	87%	87%	90%	77%	90%	95%	77%	94%
85.3%		86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	77%	86%
91.1%		95%	97%	89%	91%	78%	95%	91%	97%	94%	75%	94%	94%	94%
83.5%		78%	86%	85%	87%	81%	86%	84%	87%	84%	81%	83%	84%	79%
83.9%		82%	85%	86%	75%	86%	89%	86%	88%	84%	82%	84%	82%	82%
86.0%		82%	84%	95%	82%	86%	90%	93%	96%	82%	82%	82%	82%	82%
83.8%		81%	91%	86%	80%	80%	89%	87%	90%	89%	76%	81%	70%	89%