DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Environment%3Arural C10 - Run 02b4130...

Global Dialogues GD4 - Rural (10 context Qs)

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

AI Safety & Robustness

Best Models (Coverage)

1.Claude Sonnet 4.5
82.5%
2.Claude Haiku 4.5
81.5%
3.GPT 4.1
81.1%
4.Claude Sonnet 4
80.5%
5.GPT 4.1 Mini
79.5%

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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		2nd 81.5%	4th 80.5%	1st 82.5%	9th 77.1%	13th 76.1%	7th 79.2%	6th 79.3%	3rd 81.1%	5th 79.5%	11th 76.9%	10th 76.9%	8th 77.6%	12th 76.3%
63.9%		71%	69%	78%	73%	49%	54%	62%	66%	55%	67%	53%	69%	65%
66.9%		68%	69%	71%	77%	46%	60%	69%	82%	70%	68%	68%	62%	60%
80.5%		77%	84%	73%	80%	86%	81%	73%	80%	87%	78%	85%	81%	81%
74.4%		77%	69%	82%	72%	76%	75%	70%	81%	76%	72%	72%	67%	78%
66.8%		69%	80%	76%	72%	60%	66%	67%	68%	64%	61%	60%	60%	66%
72.2%		70%	66%	84%	86%	73%	69%	70%	78%	74%	66%	86%	72%	45%
68.5%		79%	83%	83%	72%	58%	72%	67%	63%	58%	55%	57%	71%	73%
73.7%		70%	63%	56%	74%	81%	73%	77%	74%	85%	77%	77%	73%	78%
76.6%		78%	77%	77%	68%	77%	80%	77%	75%	89%	71%	73%	78%	76%
75.9%		74%	66%	63%	56%	78%	86%	74%	72%	63%	92%	92%	88%	83%
85.5%		92%	81%	90%	89%	84%	85%	87%	90%	80%	83%	83%	90%	77%
84.9%		89%	85%	93%	87%	78%	81%	88%	89%	88%	79%	84%	84%	79%
72.0%		76%	65%	75%	73%	66%	69%	81%	77%	65%	87%	65%	70%	67%
53.7%		71%	60%	60%	48%	43%	56%	52%	57%	52%	43%	43%	50%	63%
65.8%		54%	67%	62%	53%	70%	63%	57%	76%	72%	75%	70%	65%	71%
79.8%		85%	85%	86%	67%	80%	79%	78%	76%	87%	73%	80%	81%	80%
85.1%		89%	80%	89%	91%	94%	82%	86%	77%	83%	83%	78%	82%	92%
86.8%		86%	83%	85%	90%	88%	91%	85%	90%	78%	89%	85%	90%	89%
85.3%		86%	87%	85%	86%	83%	78%	80%	83%	89%	91%	91%	88%	82%
75.2%		86%	74%	74%	70%	65%	74%	70%	71%	82%	81%	80%	71%	79%
87.8%		94%	82%	91%	88%	83%	91%	93%	92%	91%	86%	77%	88%	85%
86.6%		92%	84%	85%	75%	84%	85%	90%	90%	85%	89%	89%	87%	91%
69.8%		70%	64%	79%	89%	77%	72%	83%	83%	59%	69%	69%	55%	38%
72.0%		67%	79%	80%	90%	58%	73%	74%	81%	68%	73%	63%	57%	73%
79.9%		82%	83%	82%	44%	83%	81%	81%	81%	80%	84%	83%	88%	87%
81.8%		83%	80%	82%	83%	80%	78%	83%	79%	83%	83%	83%	83%	83%
85.2%		87%	89%	90%	89%	83%	90%	81%	90%	84%	79%	81%	81%	84%
75.8%		80%	78%	82%	78%	55%	81%	83%	86%	78%	78%	67%	70%	69%
85.3%		93%	95%	93%	88%	83%	91%	86%	94%	92%	73%	75%	75%	71%
74.5%		78%	83%	86%	81%	61%	74%	72%	78%	69%	74%	68%	71%	74%
81.8%		77%	86%	88%	90%	86%	82%	80%	89%	79%	81%	86%	78%	61%
86.7%		93%	80%	80%	90%	86%	84%	90%	89%	79%	90%	87%	94%	85%
70.8%		73%	76%	89%	84%	73%	73%	75%	79%	70%	65%	48%	58%	58%
73.9%		72%	73%	85%	82%	70%	78%	81%	81%	82%	58%	69%	63%	67%
84.8%		90%	93%	82%	86%	84%	85%	86%	78%	74%	83%	87%	86%	88%
80.8%		83%	85%	84%	81%	85%	78%	81%	85%	82%	82%	83%	80%	62%
78.2%		80%	77%	78%	67%	84%	74%	78%	79%	81%	83%	77%	84%	74%
77.2%		80%	83%	83%	86%	76%	62%	58%	73%	79%	76%	80%	80%	87%
80.0%		76%	77%	88%	91%	83%	84%	87%	84%	81%	74%	83%	74%	58%
63.0%		57%	58%	55%	64%	70%	57%	49%	51%	69%	70%	79%	70%	70%
82.6%		84%	90%	87%	71%	75%	83%	88%	91%	91%	65%	86%	74%	89%
82.5%		77%	90%	83%	77%	87%	87%	83%	68%	86%	93%	73%	91%	77%
72.1%		71%	72%	74%	73%	74%	71%	73%	77%	71%	73%	64%	68%	76%
74.3%		71%	79%	84%	77%	72%	79%	76%	80%	64%	76%	77%	72%	59%
78.5%		79%	82%	84%	73%	78%	78%	81%	77%	79%	81%	77%	80%	72%
86.9%		87%	90%	91%	90%	75%	93%	86%	88%	92%	71%	83%	91%	93%
81.2%		91%	83%	78%	82%	80%	84%	83%	83%	78%	84%	78%	78%	74%
88.7%		95%	95%	91%	84%	78%	89%	90%	94%	85%	81%	91%	95%	85%
87.7%		95%	85%	81%	84%	87%	81%	98%	89%	78%	96%	94%	79%	93%
85.8%		84%	87%	87%	84%	87%	82%	81%	83%	88%	89%	81%	91%	92%
84.1%		83%	86%	86%	86%	82%	81%	81%	86%	86%	83%	81%	83%	89%
76.9%		84%	77%	90%	81%	70%	81%	89%	86%	69%	67%	70%	68%	68%
71.8%		78%	82%	83%	84%	67%	59%	74%	76%	65%	63%	57%	78%	68%
80.0%		81%	81%	79%	94%	69%	79%	84%	85%	86%	67%	84%	75%	76%
80.2%		81%	88%	84%	71%	79%	80%	85%	85%	85%	88%	79%	68%	69%
81.1%		81%	86%	86%	88%	76%	77%	84%	84%	81%	79%	75%	79%	78%
64.3%		52%	78%	59%	67%	48%	70%	78%	84%	69%	48%	74%	47%	62%
81.6%		87%	77%	79%	85%	90%	80%	87%	84%	78%	88%	78%	82%	66%
73.1%		72%	84%	86%	90%	66%	75%	70%	80%	78%	58%	66%	61%	64%
85.3%		86%	87%	92%	84%	82%	88%	75%	85%	87%	84%	82%	89%	88%
84.2%		91%	89%	87%	64%	89%	90%	82%	79%	86%	83%	88%	88%	79%
69.7%		79%	72%	86%	75%	50%	70%	77%	76%	58%	77%	52%	71%	63%
92.6%		94%	93%	93%	85%	91%	93%	96%	96%	95%	90%	91%	94%	93%
87.4%		89%	83%	90%	85%	90%	90%	90%	89%	88%	82%	84%	92%	84%
72.0%		73%	72%	83%	77%	84%	80%	75%	77%	69%	75%	75%	55%	41%
81.2%		86%	87%	94%	65%	69%	93%	93%	88%	92%	60%	70%	71%	88%
77.8%		86%	78%	80%	82%	66%	85%	84%	77%	76%	80%	62%	78%	78%
76.2%		87%	77%	77%	61%	82%	72%	72%	73%	81%	68%	73%	80%	87%
69.6%		71%	65%	61%	66%	71%	71%	68%	67%	69%	72%	77%	71%	76%
85.5%		98%	83%	82%	67%	93%	76%	77%	80%	95%	96%	81%	93%	91%
83.9%		89%	89%	87%	83%	86%	88%	79%	87%	84%	83%	75%	76%	85%
77.1%		82%	84%	84%	57%	83%	77%	75%	83%	83%	75%	74%	79%	66%
87.2%		89%	90%	91%	72%	97%	92%	80%	88%	95%	73%	89%	89%	89%
74.4%		82%	80%	84%	78%	61%	79%	83%	83%	77%	59%	74%	58%	69%
87.1%		90%	90%	82%	90%	89%	92%	82%	93%	88%	88%	88%	89%	71%
77.1%		81%	67%	65%	66%	90%	79%	70%	63%	87%	85%	86%	79%	84%
81.2%		82%	78%	85%	83%	82%	84%	82%	83%	77%	72%	77%	85%	85%
84.9%		88%	86%	92%	83%	73%	85%	86%	84%	84%	83%	81%	89%	90%
81.6%		87%	82%	90%	54%	85%	83%	84%	88%	80%	74%	80%	89%	85%
78.8%		82%	81%	86%	78%	78%	76%	81%	80%	86%	85%	75%	69%	68%
87.8%		89%	88%	90%	82%	85%	85%	85%	89%	87%	94%	90%	89%	89%
89.3%		95%	89%	92%	88%	85%	85%	89%	90%	95%	88%	93%	85%	87%
77.5%		87%	80%	86%	65%	78%	85%	73%	85%	81%	60%	79%	78%	70%
85.9%		88%	86%	87%	82%	85%	82%	93%	85%	85%	89%	89%	78%	88%
86.3%		92%	92%	95%	88%	86%	93%	86%	92%	85%	72%	88%	83%	70%
81.1%		82%	81%	82%	86%	86%	78%	80%	81%	82%	79%	77%	84%	76%
79.0%		77%	85%	78%	75%	85%	77%	70%	69%	82%	82%	82%	85%	80%
86.5%		90%	85%	87%	91%	78%	85%	86%	92%	89%	88%	77%	88%	89%
73.3%		74%	81%	79%	81%	75%	74%	68%	70%	68%	59%	66%	72%	86%
86.4%		95%	91%	98%	80%	70%	81%	84%	90%	91%	91%	75%	92%	85%
63.1%		64%	65%	66%	66%	58%	67%	68%	59%	58%	66%	62%	61%	60%
72.4%		88%	87%	90%	54%	49%	73%	77%	82%	88%	58%	69%	63%	63%
69.9%		84%	68%	84%	40%	71%	62%	67%	64%	59%	67%	68%	88%	87%
81.5%		83%	83%	84%	88%	64%	88%	87%	87%	85%	88%	76%	71%	75%
69.2%		69%	79%	67%	65%	76%	71%	67%	71%	69%	62%	67%	67%	70%
79.2%		81%	73%	78%	78%	82%	71%	82%	81%	88%	84%	83%	79%	70%
78.5%		72%	73%	89%	54%	89%	72%	64%	66%	88%	92%	89%	84%	89%
85.7%		88%	96%	84%	47%	85%	95%	86%	77%	88%	96%	87%	95%	90%
80.2%		81%	87%	89%	81%	63%	85%	79%	92%	84%	72%	74%	75%	80%
83.0%		87%	85%	87%	82%	81%	77%	76%	87%	87%	84%	82%	81%	83%
73.7%		78%	83%	85%	34%	76%	81%	76%	91%	68%	71%	80%	71%	64%
84.2%		87%	87%	87%	85%	84%	85%	84%	86%	76%	85%	85%	83%	80%
84.1%		82%	89%	91%	90%	89%	79%	85%	75%	79%	84%	74%	86%	90%
73.8%		73%	73%	70%	82%	60%	72%	76%	76%	80%	71%	75%	79%	73%
82.9%		90%	77%	78%	95%	72%	88%	95%	85%	80%	91%	79%	76%	72%
81.0%		89%	67%	82%	78%	71%	87%	93%	84%	78%	87%	77%	78%	82%
79.2%		88%	90%	88%	69%	69%	88%	93%	81%	85%	60%	79%	70%	69%
66.4%		61%	63%	78%	81%	37%	67%	65%	82%	69%	61%	75%	58%	66%
72.8%		79%	69%	72%	71%	70%	76%	65%	74%	73%	72%	73%	75%	78%
78.1%		84%	77%	86%	78%	82%	76%	86%	84%	83%	77%	60%	71%	71%
81.6%		85%	78%	80%	73%	85%	84%	81%	82%	82%	84%	79%	88%	80%
74.3%		84%	70%	82%	86%	70%	75%	73%	82%	74%	62%	68%	75%	65%
87.5%		84%	95%	87%	91%	84%	90%	88%	91%	90%	83%	82%	91%	81%
85.5%		90%	91%	94%	84%	87%	82%	90%	94%	86%	80%	86%	82%	65%
82.0%		79%	91%	90%	84%	70%	88%	84%	89%	85%	71%	77%	81%	77%
81.1%		81%	82%	83%	80%	83%	80%	79%	80%	82%	76%	82%	77%	89%