DTeval

A Collective Intelligence Project

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

Global Dialogues GD4 - Rural (with context)

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
84.5%
2.Claude Sonnet 4
84.3%
3.GPT 4.1
84.0%
4.Claude Haiku 4.5
83.1%
5.Gemini 2.5 Flash
82.5%

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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		4th 83.1%	2nd 84.3%	1st 84.5%	5th 82.5%	12th 77.7%	7th 81.4%	6th 82.4%	3rd 84.0%	8th 81.1%	13th 77.2%	10th 78.9%	11th 78.2%	9th 80.8%
76.4%		71%	77%	79%	81%	66%	82%	84%	81%	76%	57%	77%	82%	80%
73.8%		81%	83%	82%	89%	61%	76%	76%	88%	59%	59%	76%	59%	70%
80.3%		82%	84%	84%	79%	81%	81%	85%	89%	86%	66%	79%	76%	72%
79.4%		83%	82%	79%	77%	81%	79%	77%	87%	76%	79%	76%	78%	78%
74.0%		75%	85%	81%	87%	65%	73%	72%	79%	73%	69%	66%	63%	74%
82.0%		81%	86%	83%	87%	81%	81%	83%	87%	82%	80%	77%	79%	79%
68.8%		89%	83%	90%	76%	57%	57%	65%	61%	55%	55%	57%	70%	79%
76.5%		79%	80%	77%	79%	69%	76%	75%	76%	75%	87%	70%	77%	75%
79.5%		88%	86%	88%	65%	77%	82%	79%	82%	78%	64%	85%		80%
68.5%		63%	72%	73%	69%	80%	67%	82%	67%	51%	64%	56%	66%	80%
86.9%		86%	89%	90%	89%	89%	85%	88%	92%	85%	91%	81%	82%	83%
86.7%		85%	78%	86%	90%	89%	86%	86%	86%	90%	90%	87%	84%	90%
81.8%		82%	82%	82%	82%	79%	82%	82%	82%	82%	82%	82%	82%	82%
56.0%		58%	75%	66%	63%	54%	43%	52%	52%	55%	57%	43%	55%	55%
76.6%		75%	79%	89%	84%	71%	76%	80%	81%	76%	71%	72%	62%	80%
80.7%		90%	90%	85%	84%	82%	84%	78%	80%	88%	56%	87%	62%	83%
82.7%		88%	87%	89%	96%	81%	76%	83%	80%	81%	87%	76%	72%	79%
84.4%		77%	72%	82%	86%	86%	83%	90%	88%	80%	90%	91%	86%	86%
90.5%		94%	92%	91%	86%	85%	91%	92%	90%	90%	91%	91%	91%	93%
76.2%		86%	76%	80%	76%	58%	75%	75%	81%	84%	62%	75%	83%	79%
87.6%		89%	87%	89%	86%	86%	91%	92%	88%	89%	86%	84%	86%	86%
86.8%		85%	84%	86%	90%	84%	81%	89%	88%	91%	91%	91%	78%	91%
86.4%		83%	89%	89%	90%	87%	82%	90%	90%	85%	84%	83%	90%	81%
74.0%		84%	80%	78%	80%	61%	78%	78%	76%	79%	51%	68%	64%	85%
77.8%		71%	76%	69%	69%	79%	84%	75%	69%	82%	83%	83%	82%	89%
80.9%		84%	80%	78%	83%	70%	79%	83%	80%	83%	83%	83%	83%	83%
87.5%		93%	86%	89%	89%	85%	81%	86%	92%	79%	91%	89%	92%	86%
77.2%		62%	73%	83%	83%	66%	73%	78%	92%	78%	88%	68%	82%	78%
84.2%		82%	90%	90%	91%	79%	85%	77%	91%	95%	75%	80%	80%	80%
84.5%		77%	90%	86%	89%	74%	84%	89%	88%	89%	66%	80%	93%	94%
89.1%		88%	89%	92%	87%	86%	90%	86%	90%	89%	90%	90%	93%	88%
88.4%		95%	90%	88%	90%	88%	87%	91%	88%	92%	91%	92%	85%	72%
76.5%		89%	82%	85%	87%	62%	77%	83%	83%	84%	67%	66%	60%	69%
74.1%		73%	81%	82%	84%	67%	80%	66%	86%	76%	77%	76%	39%	76%
84.2%		89%	94%	95%	62%	90%	85%	88%	78%	82%	73%	81%	90%	88%
89.7%		90%	86%	89%	87%	88%	89%	93%	89%	91%	91%	91%	91%	91%
87.7%		82%	88%	92%	87%	87%	88%	89%	87%	78%	89%	91%	92%	90%
87.8%		89%	91%	86%	88%	89%	89%	89%	87%	87%	79%	89%	89%	89%
91.9%		90%	95%	91%	89%	90%	93%	98%	93%	93%	91%	91%	93%	88%
88.1%		89%	89%	82%	89%	89%	89%	89%	89%	89%	84%	89%	89%	89%
79.5%		87%	88%	83%	90%	66%	89%	82%	86%	88%	48%	83%	60%	83%
78.3%		90%	90%	77%	73%	73%	81%	72%	61%	88%	97%	65%	86%	65%
84.6%		92%	86%	92%	86%	73%	88%	89%	88%	86%	88%	73%	78%	81%
70.4%		68%	72%	71%	76%	71%	77%	71%	83%	61%	61%	78%	70%	56%
79.1%		83%	89%	81%	92%	85%	84%	77%	87%	67%	53%	68%	79%	83%
85.8%		84%	90%	93%	85%	68%	90%	91%	92%	89%	75%	78%	93%	88%
79.8%		90%	86%	81%	88%	85%	80%	81%	89%	75%	51%	78%	78%	76%
91.4%		97%	96%	98%	97%	84%	88%	89%	88%	90%	78%	91%	96%	96%
88.2%		91%	82%	94%	88%	86%	89%	86%	89%	91%	91%	91%	78%	91%
89.8%		89%	91%	89%	91%	91%	92%	88%	91%	94%	91%	80%	91%	90%
90.6%		90%	90%	93%	90%	91%	91%	88%	90%	90%	90%	91%	90%	94%
72.4%		74%	80%	82%	88%	63%	76%	66%	89%	67%	60%	70%	63%	63%
80.0%		83%	86%	84%	88%	57%	83%	84%	78%	78%	80%	79%	80%	80%
75.3%		78%	77%	83%	85%	72%	79%	77%	81%	78%	77%	70%	60%	62%
90.0%		90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%
78.5%		78%	80%	82%	81%	75%	77%	84%	80%	79%	79%	72%	75%	79%
64.8%		60%	62%	67%	81%	54%	82%	71%	73%	57%	32%	79%	60%	65%
82.6%		82%	82%	82%	82%	90%	82%	82%	82%	82%	82%	82%	82%	82%
76.7%		83%	88%	93%	81%	66%	82%	71%	91%	79%	74%	62%	37%	90%
86.7%		87%	90%	78%	68%	91%	91%	91%	88%	86%	91%	90%	85%	91%
82.1%		92%	88%	82%	57%	82%	80%	78%	88%	83%	85%	92%	86%	74%
76.3%		65%	85%	84%	70%	77%	82%	91%	77%	64%	70%	70%	87%	70%
85.8%		94%	99%	91%	85%	84%	93%	91%	94%	83%	53%	83%	83%	83%
92.2%		89%	94%	95%	91%	89%	84%	93%	93%	96%	94%	93%	96%	91%
88.3%		84%	90%	92%	94%	87%	88%	91%	90%	85%	85%	85%	91%	86%
72.3%		66%	80%	92%	89%	61%	82%	82%	77%	75%	57%	53%	50%	76%
76.0%		81%	81%	78%	90%	70%	78%	81%	85%	73%	63%	67%	69%	72%
75.8%		86%	88%	85%	71%	79%	68%	67%	70%	82%	73%	73%	63%	81%
71.5%		71%	76%	66%	64%	72%	62%	69%	69%	76%	78%	72%	74%	80%
88.2%		90%	91%	93%	70%	97%	75%	84%	83%	89%	93%	95%	95%	92%
80.0%		79%	81%	83%	79%	79%	86%	79%	79%	79%	79%	79%	79%	79%
79.7%		80%	84%	85%	65%	82%	85%	60%	83%	80%	82%	84%	80%	86%
85.3%		88%	90%	92%	91%	87%	88%	86%	92%	87%	66%	70%	87%	85%
72.7%		81%	78%	69%	84%	63%	80%	81%	81%	78%	62%	78%	48%	62%
87.2%		94%	89%	88%	81%	84%	87%	91%	84%	85%	86%	87%	86%	92%
87.2%		90%	91%	90%	80%	86%	94%	87%	88%	86%	86%	81%	88%	86%
85.6%		83%	88%	83%	81%	91%	85%	91%	86%	81%	86%	84%	88%	86%
85.5%		85%	87%	86%	90%	87%	88%	85%	81%	85%	83%	86%	84%	84%
89.3%		86%	94%	93%	93%	92%	84%	94%	92%	82%	92%	85%	88%	86%
90.0%		90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%
85.6%		83%	89%	89%	83%	83%	90%	86%	90%	88%	83%	83%	83%	83%
89.2%		91%	91%	88%	90%	90%	92%	90%	94%	90%	85%	82%	86%	90%
78.6%		84%	83%	87%	79%	64%	80%	85%	87%	82%	69%	78%	68%	76%
88.2%		92%	89%	91%	91%	81%	91%	86%	82%	92%	92%	92%	75%	92%
89.2%		92%	90%	79%	79%	92%	88%	93%	91%	90%	93%	95%	87%	90%
86.9%		87%	85%	88%	85%	86%	81%	90%	89%	86%	90%	89%	86%	88%
75.5%		83%	85%	82%	79%	77%	82%	82%	83%	80%	62%	62%	62%	62%
83.2%		93%	85%	89%	82%	68%	83%	76%	82%	92%	89%	72%	85%	85%
74.5%		88%	87%	80%	79%	53%	69%	86%	75%	73%	78%	65%	65%	71%
84.2%		94%	80%	80%	79%	69%	77%	85%	97%	92%	79%	82%	85%	95%
64.6%		67%	67%	71%	79%	61%	63%	72%	66%	74%	42%	55%	61%	62%
71.9%		73%	72%	82%	77%	68%	67%	78%	77%	73%	73%	70%	56%	69%
74.2%		75%	82%	78%	85%	81%	59%	65%	66%	73%	71%	66%	87%	76%
82.9%		79%	84%	85%	85%	83%	80%	79%	89%	85%	83%	83%	83%	80%
57.1%		59%	65%	59%	46%	70%	67%	56%	50%	53%	52%	54%	57%	54%
84.1%		80%	84%	87%	83%	79%	81%	89%	92%	81%	94%	81%	81%	81%
85.4%		92%	90%	91%	68%	91%	86%	81%	82%	89%	77%	89%	85%	89%
80.3%		77%	82%	79%	85%	79%	78%	83%	87%	79%	71%	78%	85%	81%
77.5%		81%	84%	85%	76%	64%	86%	81%	92%	78%	61%	75%	73%	71%
84.4%		94%	86%	90%	89%	85%	79%	82%	89%	83%	87%	68%	78%	87%
79.6%		76%	80%	84%	83%	76%	87%	74%	89%	82%	71%	78%	85%	70%
79.6%		76%	80%	89%	86%	72%	81%	77%	80%	78%	82%	85%	71%	78%
84.2%		98%	90%	92%	84%	81%	77%	89%	79%	73%	84%	74%	89%	84%
75.4%		77%	70%	73%	86%	60%	73%	75%	87%	79%	81%	71%	75%	73%
82.9%		78%	69%	83%	87%	88%	83%	82%	85%	85%	90%	85%	85%	78%
84.7%		88%	86%	91%	82%	70%	90%	88%	88%	77%	88%	90%	75%	88%
77.2%		84%	71%	84%	66%	64%	74%	88%	89%	88%	78%	73%	66%	78%
67.5%		66%	71%	75%	81%	55%	68%	70%	84%	60%	54%	73%	64%	56%
70.6%		64%	77%	70%	71%	70%	77%	79%	69%	71%	55%	73%	73%	69%
84.8%		90%	87%	92%	88%	74%	86%	88%	91%	91%	94%	67%	74%	81%
88.0%		89%	96%	93%	87%	84%	77%	87%	89%	85%	90%	88%	86%	93%
84.5%		89%	89%	89%	78%	85%	74%	86%	89%	82%	74%	90%	86%	87%
87.5%		93%	95%	86%	90%	82%	86%	93%	92%	83%	83%	82%	83%	90%
88.8%		90%	90%	88%	91%	92%	95%	91%	92%	85%	85%	84%	87%	84%
87.2%		91%	85%	88%	91%	76%	85%	87%	91%	91%	84%	87%	86%	91%
82.7%		79%	87%	79%	79%	91%	81%	87%	79%	79%	93%	83%	79%	79%