DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Environment%3Arural C10 - Run 872b5bd...

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

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

AI Safety & Robustness

Social interaction

General Knowledge

Best Models (Coverage)

1.Claude 3.7 Sonnet
84.5%
2.GPT 5.1
82.1%
3.Claude Sonnet 4.5
82.0%
4.GPT 4.1
81.2%
5.Claude Haiku 4.5
81.2%

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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 3.7 Sonnet	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Large 2411	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o	GPT 4o Mini	GPT 5 Mini	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct	Grok 4.1 Fast
Score		1st 84.5%	5th 81.2%	6th 80.8%	3rd 82.0%	18th 76.3%	19th 75.9%	11th 78.8%	7th 80.4%	10th 78.9%	4th 81.2%	9th 79.8%	17th 76.5%	8th 80.2%	14th 76.9%	12th 77.6%	2nd 82.1%	20th 75.0%	21st 73.6%	13th 77.1%	15th 76.6%	16th 76.6%
67.5%		71%	69%	71%	78%	68%	49%	59%	70%	62%	71%	57%	67%	67%	53%	82%	70%	75%	84%	65%	60%	70%
68.2%		79%	64%	70%	70%	80%	46%	61%	59%	69%	84%	65%	68%	79%	65%	61%	83%	76%	74%	63%	60%	57%
76.8%		81%	80%	74%	75%	58%	82%	84%	78%	73%	77%	87%	72%	83%	85%	68%	81%	58%	77%	80%	82%	77%
74.7%		78%	77%	69%	82%	69%	76%	75%	78%	70%	80%	71%	76%	73%	72%	83%	78%	71%	72%	70%	78%	70%
65.0%		79%	68%	73%	71%	67%	60%	66%	71%	70%	65%	59%	63%	68%	60%	46%	67%	56%	53%	60%	68%	74%
72.1%		78%	72%	72%	83%	83%	73%	69%	75%	70%	84%	69%	65%	80%	73%	83%	81%	61%	54%	78%	44%	67%
68.1%		83%	79%	83%	83%	72%	58%	72%	70%	68%	63%	58%	55%	58%	58%	77%	63%	60%	57%	72%	73%	68%
74.9%		85%	70%	63%	59%	69%	81%	73%	77%	74%	73%	84%	78%	84%	77%	84%	80%	79%	77%	77%	73%	56%
76.4%		82%	81%	76%	77%	58%	77%	80%	79%	77%	77%	87%	73%	69%	76%	87%	76%	78%	78%	73%	77%	66%
73.6%		67%	61%	66%	63%	41%	78%	78%	80%	70%	64%	63%	92%	82%	88%	60%	73%	82%	80%	84%	82%	91%
85.5%		89%	91%	81%	90%	83%	84%	85%	88%	87%	90%	83%	75%	92%	83%	88%	88%	88%	74%	90%	84%	83%
83.8%		95%	89%	88%	88%	87%	81%	81%	81%	87%	91%	91%	79%	85%	84%	77%	92%	79%	68%	79%	80%	77%
73.1%		74%	76%	72%	75%	73%	66%	69%	79%	74%	78%	65%	87%	72%	65%	66%	90%	83%	70%	70%	67%	65%
50.8%			71%	60%	55%	52%	43%	56%	35%	52%	48%	52%	43%	43%	43%	42%	60%	54%	46%	50%	58%	52%
67.0%		68%	54%	67%	67%	51%	64%	58%	78%	57%	78%	72%	75%	74%	70%	59%	75%	67%	71%	64%	72%	67%
78.2%			84%	83%	86%	63%	81%	79%	83%	78%	77%	87%	73%	78%	80%	85%	80%	61%	66%	77%	80%	82%
85.2%		83%	89%	81%	90%	91%	94%	82%	90%	87%	79%	85%	83%	86%	76%	89%	82%	71%	91%	82%	92%	87%
86.8%		92%	89%	83%	85%	87%	88%	86%	90%	84%	90%	83%	75%	90%	85%	83%	91%	90%	84%	90%	92%	86%
84.3%		86%	82%	87%	85%	86%	83%	78%	80%	80%	85%	89%	91%	86%	81%	90%	90%	80%	62%	92%	92%	85%
76.6%		85%	86%	75%	74%	68%	58%	74%	76%	70%	74%	82%	81%	69%	80%	81%	84%	82%	81%	80%	79%	70%
87.1%		89%	95%	82%	90%	88%	83%	90%	87%	93%	90%	91%	84%	92%	73%	88%	92%	82%	77%	94%	87%	83%
86.0%		87%	92%	85%	85%	75%	84%	83%	93%	89%	92%	78%	94%	82%	89%	87%	92%	83%	66%	87%	91%	92%
71.3%		85%	71%	70%	76%	85%	78%	72%	70%	77%	82%	69%	69%	79%	69%	69%	89%	68%	66%	50%	38%	66%
70.3%		76%	67%	80%	79%	91%	58%	71%	75%	65%	78%	55%	77%	79%	63%	57%	65%	63%	68%	53%	79%	78%
79.8%			83%	83%	81%	51%	83%	80%	77%	82%	83%	80%	84%	75%	83%	85%	79%	79%	84%	87%	88%	68%
80.2%		84%	83%	80%	82%	83%	80%	77%	71%	83%	79%	83%	83%	82%	83%	80%	77%	68%	75%	83%	83%	85%
85.5%		90%	87%	89%	90%	89%	83%	90%	81%	82%	90%	81%	83%	86%	81%	90%	90%	82%	79%	84%	84%	85%
80.0%		92%	84%	78%	82%	82%	58%	80%	90%	86%	88%	78%	78%	85%	67%	80%	91%	85%	82%	70%	63%	81%
85.4%		91%	93%	95%	93%	90%	83%	91%	87%	86%	95%	88%	75%	93%	73%	70%	86%	86%	73%	73%	79%	93%
76.5%		84%	78%	84%	87%	88%	61%	74%	80%	70%	79%	69%	74%	73%	66%	81%	80%	78%	76%	78%	74%	73%
82.5%		94%	79%	81%	85%	92%	86%	82%	87%	80%	90%	81%	87%	95%	86%	83%	97%	68%	73%	76%	58%	73%
85.0%		91%	93%	79%	80%	90%	84%	83%	90%	90%	86%	89%	90%	89%	87%	78%	88%	71%	82%	94%	85%	65%
74.7%		84%	73%	75%	89%	81%	73%	73%	75%	75%	81%	70%	65%	70%	48%	93%	93%	78%	69%	60%		70%
73.1%			67%	72%	88%	89%	70%	78%	81%	84%	82%	80%	62%	78%	69%	72%	86%	49%	52%	62%	67%	74%
82.1%		84%	90%	93%	82%	87%	84%	85%	87%	83%	78%	71%	83%	69%	87%	72%	68%	76%	71%	88%	97%	90%
79.6%		94%	80%	80%	84%	84%	85%	82%	81%	81%	86%	82%	70%	88%	80%	71%	77%	82%	73%	84%	59%	68%
79.3%		83%	80%	72%	79%	69%	84%	78%	81%	78%	83%	81%	83%	80%	77%	79%	84%	74%	78%	83%	81%	78%
73.9%		80%	78%	83%	83%	85%	77%	62%	65%	55%	74%	80%	78%	61%	85%	81%	72%	50%	63%	88%		78%
81.6%		93%	78%	82%	88%	90%	83%	84%	85%	86%	90%	83%	78%	90%	83%	82%	96%	83%	70%	64%	55%	70%
58.7%		62%	57%	59%	55%	65%	71%	57%	56%	49%	49%	65%	76%	46%	78%	65%	69%	36%	33%	73%		53%
82.3%			84%	90%	86%	63%	75%	83%	80%	90%	90%	91%	65%	90%	90%	73%	88%	68%	88%	83%	87%	82%
79.7%		87%	86%	90%	83%	69%	87%	87%	92%	82%	72%	88%	87%	71%	73%	58%	75%	63%	70%	89%	77%	87%
73.8%		83%	71%	72%	74%	69%	74%	71%	77%	77%	74%	74%	73%	68%	56%	81%	81%	76%	83%	65%	76%	74%
72.5%		74%	71%	79%	84%	77%	64%	79%	77%	76%	78%	68%	76%	78%	78%	66%	59%	64%	88%	70%	59%	57%
76.9%		85%	78%	81%	84%	82%	78%	78%	80%	81%	80%	77%	66%	76%	81%	73%	80%	68%	72%	80%	71%	63%
87.0%			87%	90%	91%	88%	75%	93%	76%	87%	92%	91%	71%	94%	82%	91%	88%	83%	86%	93%	93%	89%
79.3%			83%	83%	77%	89%	80%	86%	89%	81%	80%	75%	71%	82%	78%	76%	79%	67%	64%	79%	76%	90%
90.5%		98%	95%	95%	91%	84%	78%	88%	95%	89%	95%	85%	81%	97%	91%	100%	90%	99%	81%	89%	85%	95%
87.9%		87%	95%	87%	79%	87%	87%	81%	81%	98%	91%	94%	92%	78%	94%	85%	82%	96%	89%	83%	93%	87%
84.2%		83%	84%	87%	87%	84%	87%	82%	71%	79%	84%	88%	89%	86%	87%	79%	85%	77%	87%	89%	88%	85%
83.6%		90%	86%	86%	86%	84%	82%	81%	79%	83%	87%	87%	87%	85%	81%	89%	90%	76%	71%	84%	82%	79%
79.0%		89%	71%	87%	88%	69%	67%	89%	81%	87%	80%	74%	52%	80%	70%	85%	86%	88%	92%	67%	70%	88%
73.0%		79%	77%	82%	85%	85%	69%	59%	81%	72%	72%	73%	63%	77%	56%	81%	77%	72%	57%	77%	66%	73%
78.5%			84%	80%	79%	80%	69%	78%	85%	82%	84%	86%	76%	84%	84%	88%	85%	63%	75%	66%	70%	71%
82.6%		83%	81%	89%	90%	79%	79%	80%	90%	84%	86%	88%	88%	87%	79%	80%	89%	75%	77%	73%	81%	76%
81.0%		86%	81%	84%	86%	72%	77%	79%	83%	82%	84%	81%	80%	80%	72%	85%	85%	84%	84%	76%	78%	83%
66.9%		75%	52%	78%	59%	57%	49%	69%	76%	78%	84%	66%	48%	81%	74%	70%	86%	60%	61%	46%	65%	71%
81.7%			87%	77%	79%	83%	90%	80%	88%	87%	85%	80%	88%	87%	78%	87%	67%	82%	76%	83%	81%	69%
71.5%			72%	84%	86%	74%	66%	75%	68%	82%	83%	78%	50%	79%	66%	81%	83%	62%	48%	61%	63%	69%
84.5%		87%	84%	90%	92%	85%	82%	88%	85%	77%	89%	91%	87%	80%	81%	80%	84%	82%	69%	87%	87%	88%
83.1%		82%	91%	92%	87%	50%	89%	94%	85%	83%	83%	78%	89%	92%	88%	69%	82%	89%	88%	71%	79%	85%
74.0%		88%	79%	72%	77%	77%	53%	71%	82%	72%	77%	54%	77%	77%	63%	79%	86%	75%	84%	71%	63%	77%
89.9%		86%	93%	93%	93%	93%	91%	87%	92%	96%	92%	96%	77%	94%	90%	84%	92%	74%	91%	91%	93%	90%
87.8%		99%	92%	86%	90%	85%	90%	90%	91%	90%	89%	85%	82%	91%	82%	71%	94%	90%	87%	88%	84%	88%
75.1%		90%	73%	75%	83%	84%	84%	80%	72%	75%	83%	75%	75%	92%	75%	59%	91%	65%	56%	64%	47%	79%
85.4%		89%	86%	87%	94%	71%	72%	93%	95%	97%	86%	92%	68%	86%	74%	95%	92%	82%	86%	73%	85%	91%
77.6%		91%	86%	78%	80%	79%	66%	85%	89%	84%	79%	80%	74%	75%	60%	74%	81%	84%	71%	62%	77%	75%
75.0%		86%	83%	77%	77%	69%	80%	72%	68%	70%	72%	78%	68%	72%	77%	81%	75%	79%	70%	66%	84%	72%
68.4%		69%	69%	65%	61%	67%	71%	71%	66%	71%	72%	68%	71%	65%	72%	60%	75%	64%	62%	73%	76%	68%
86.4%			98%	95%	82%	64%	93%	76%	66%	80%	84%	95%	93%	93%	81%	93%	94%	94%	93%	93%	93%	68%
83.9%		86%	88%	87%	88%	83%	88%	88%	86%	82%	92%	84%	83%	83%	75%	85%	78%	80%	78%	84%	85%	78%
76.9%		75%	82%	84%	84%	63%	83%	76%	83%	70%	83%	83%	75%	73%	76%	69%	79%	82%	84%	80%	68%	62%
86.3%		88%	89%	91%	88%	74%	97%	92%	92%	80%	82%	95%	83%	79%	89%	70%	94%	95%	83%	89%	82%	80%
74.3%		88%	78%	80%	81%	78%	62%	69%	78%	83%	75%	79%	63%	81%	82%	79%	73%	67%	55%	61%	67%	82%
87.1%		95%	90%	90%	82%	81%	89%	92%	90%	84%	89%	92%	88%	91%	88%	86%	84%	86%	86%	84%	71%	92%
74.6%		80%	80%	67%	65%	49%	90%	79%	76%	70%	66%	85%	82%	75%	86%	66%	70%	74%	66%	84%	84%	73%
80.6%			82%	79%	84%	84%	78%	80%	85%	84%	86%	76%	76%	84%	77%	79%	84%	74%	66%	85%	87%	82%
85.0%		94%	88%	86%	92%	89%	73%	78%	95%	84%	89%	84%	83%	84%	76%	88%	94%	84%	64%	82%	90%	88%
83.2%		91%	87%	80%	90%	43%	82%	81%	90%	84%	88%	90%	80%	89%	80%	85%	88%	84%	81%	86%	86%	83%
79.5%			80%	81%	80%	77%	78%	76%	83%	80%	81%	88%	83%	84%	78%	73%	87%	87%	83%	72%	69%	71%
87.3%		89%	89%	88%	89%	82%	82%	85%	90%	80%	82%	86%	92%	86%	98%	89%	96%	89%	94%	91%	85%	72%
86.3%		84%	95%	91%	92%	94%	85%	87%	79%	84%	88%	94%	85%	88%	91%	92%	88%	74%	76%	85%	86%	74%
77.7%		80%	85%	82%	83%	65%	76%	86%	84%	70%	83%	82%	60%	85%	79%	80%	77%	73%	79%	75%	70%	78%
84.9%		86%	88%	89%	84%	85%	78%	82%	90%	91%	84%	89%	89%	79%	89%	83%	85%	89%	69%	80%	87%	86%
86.5%			92%	92%	95%	77%	86%	90%	92%	88%	94%	89%	71%	90%	88%	88%	92%	83%	85%	84%	69%	86%
80.6%		90%	82%	81%	82%	82%	81%	78%	80%	80%	82%	77%	79%	87%	77%	82%	77%	78%	84%	75%	76%	82%
72.5%		78%	77%	85%	78%	72%	83%	77%	70%	67%	65%	80%	82%	65%	82%	46%	71%	52%	64%	82%	76%	70%
83.7%		84%	87%	85%	87%	90%	78%	83%	77%	84%	88%	89%	88%	82%	81%	88%	78%	69%	87%	88%		81%
69.3%			74%	81%	79%	86%	78%	74%	78%	68%	70%	68%	59%	77%	65%	64%	69%	42%	30%	68%	84%	72%
83.7%		95%	95%	89%	99%	86%	70%	81%	80%	84%	95%	90%	82%	85%	72%	69%	70%	72%	80%	92%	94%	78%
64.5%			64%	65%	66%	66%	60%	67%	65%	68%	63%	58%	62%	66%	58%	71%	73%	74%	51%	66%	60%	66%
72.8%		71%	90%	87%	88%	83%	51%	74%	74%	77%	77%	88%	58%	64%	69%	55%	86%	53%	69%	64%	63%	87%
70.0%		68%	84%	68%	84%	66%	70%	62%	62%	67%	67%	59%	76%	76%	56%	56%	67%	72%	65%	85%	87%	72%
83.2%		91%	83%	84%	84%	88%	68%	88%	89%	87%	86%	85%	85%	85%	76%	85%	91%	79%	79%	72%	75%	87%
67.0%			69%	82%	67%	66%	76%	71%	72%	67%	63%	71%	62%	62%	67%	47%	53%	58%	64%	63%	78%	83%
80.5%		92%	81%	70%	77%	74%	84%	71%	89%	80%	76%	82%	89%	88%	83%	87%	80%	79%	88%	72%		67%
73.9%		70%	71%	73%	91%	33%	89%	71%	80%	60%	79%	84%	89%	74%	89%	72%	66%	66%	70%	81%		70%
87.3%		91%	88%	96%	83%	50%	85%	95%	86%	86%	80%	95%	96%	85%	89%	84%	95%	89%	95%	94%	88%	84%
80.4%		94%	81%	87%	84%	78%	63%	86%	73%	79%	92%	83%	74%	94%	74%	86%	94%	86%	55%	78%	80%	67%
80.8%		83%	87%	90%	87%	82%	82%	77%	81%	78%	87%	82%	70%	81%	82%	72%	85%	63%	73%	83%	88%	83%
77.0%		90%	78%	83%	82%	34%	78%	82%	92%	85%	86%	75%	66%	83%	69%	85%	84%	67%	88%	70%	68%	71%
85.2%		89%	86%	87%	86%	85%	84%	85%	86%	84%	86%	85%	85%	85%	87%	81%	85%	85%	86%	83%	83%	87%
83.2%		94%	82%	89%	91%	91%	89%	79%	88%	85%	78%	84%	84%	74%	74%	85%	82%	62%	75%	93%	89%	79%
74.9%		76%	73%	73%	71%	76%	55%	72%	75%	76%	72%	78%	71%	76%	75%	87%	88%	86%	69%	79%	73%	72%
83.5%		84%	90%	76%	78%	95%	72%	88%	85%	89%	84%	79%	85%	92%	77%	83%	89%	90%	89%	77%	71%	81%
81.0%		90%	88%	67%	82%	72%	71%	87%	86%	87%	85%	75%	87%	83%	85%	79%	89%	82%	59%	76%	82%	90%
79.9%		87%	88%	88%	88%	66%	69%	82%	88%	91%	80%	87%	62%	86%	79%	87%	89%	82%	86%	68%	70%	55%
64.0%		72%	61%	63%	75%	82%	37%	65%	56%	63%	77%	64%	61%	73%	71%	71%	77%	53%	43%	57%	63%	61%
70.1%		67%	79%	69%	69%	75%	66%	76%	76%	65%	75%	75%	70%	61%	73%	64%	62%	70%	66%	76%	78%	60%
80.7%		84%	83%	77%	86%	77%	82%	76%	82%	87%	87%	83%	72%	77%	77%	90%	81%	86%	87%	71%	71%	79%
80.4%		82%	85%	78%	76%	78%	86%	80%	82%	81%	82%	82%	84%	78%	82%	76%	84%	81%	76%	88%		67%
79.1%		90%	84%	70%	77%	86%	70%	75%	82%	73%	76%	76%	74%	89%	71%	74%	88%	87%	80%	78%		82%
87.4%		90%	82%	96%	87%	90%	84%	90%	93%	91%	91%	91%	83%	84%	89%	92%	94%	78%	86%	84%	80%	80%
84.1%		90%	90%	85%	95%	84%	92%	83%	89%	86%	91%	86%	75%	89%	86%	82%	84%	88%	64%	83%	65%	79%
82.8%		92%	79%	91%	90%	91%	70%	88%	80%	83%	88%	85%	83%	78%	77%	89%	86%	82%	66%	77%	75%	88%
80.1%			81%	82%	84%	80%	83%	80%	76%	79%	80%	82%	80%	82%	78%	73%	78%	80%	78%	80%	85%	80%