DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Gender%3Afemale Ctx - Run cdd6055...

Global Dialogues GD4 - Female (with context)

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Social interaction

Economics & Finance

AI Safety & Robustness

Best Models (Coverage)

1.Claude Sonnet 4.5
87.1%
2.Claude 3.7 Sonnet
87.0%
3.Claude Sonnet 4
86.8%
4.Gemini 2.5 Flash
86.5%
5.GPT 5.1
86.2%

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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		2nd 87.0%	7th 85.4%	3rd 86.8%	1st 87.1%	4th 86.5%	19th 79.5%	13th 83.5%	12th 83.7%	8th 85.3%	6th 85.5%	16th 82.8%	21st 78.0%	9th 85.2%	18th 81.3%	11th 84.4%	5th 86.2%	14th 83.3%	17th 82.3%	20th 78.8%	15th 83.1%	10th 84.9%
84.1%			80%	89%	82%	82%	81%	80%	85%	85%	83%	82%	82%	87%	81%	90%	85%	84%	93%	84%	82%	85%
78.8%			93%	82%	90%	91%	58%	70%	71%	92%	94%	65%	53%	89%	53%	93%	94%	92%	87%	61%	56%	93%
80.3%			80%	90%	84%	85%	74%	67%	81%	82%	86%	79%	62%	86%	83%	86%	87%	81%	88%	71%	67%	87%
85.2%			93%	72%	96%	85%	87%	87%	91%	87%	89%	82%	83%	87%	82%	90%	83%	78%	81%	79%	86%	85%
75.1%			76%	81%	82%	83%	64%	77%	83%	76%	78%	74%	69%	74%	67%	77%	73%	76%	78%	67%	71%	76%
91.6%			88%	93%	91%	93%	86%	88%	95%	92%	93%	94%	89%	93%	89%	94%	92%	93%	93%	91%	92%	92%
69.3%		82%	91%	81%	82%	75%	59%	60%	77%	66%	61%	59%	59%	60%	63%	79%	69%	61%	68%	63%	74%	67%
84.8%			85%	85%	82%	90%	79%	84%	92%	86%	88%	78%	82%	89%	76%	92%	84%	94%	82%	86%	79%	83%
84.3%			93%	93%	95%	67%	87%	84%	97%	79%	95%	73%	65%	77%	84%	65%	90%	96%	87%	85%	89%	85%
65.0%			63%	63%	75%	56%	78%	62%	67%	89%	70%	53%	52%	65%	64%	61%	59%	66%	67%	65%	69%	55%
92.0%			85%	96%	96%	92%	89%	88%	88%	91%	96%	90%	92%	95%	91%	96%	94%	94%	92%	87%	94%	93%
89.2%			79%	80%	85%	92%	90%	92%	92%	89%	91%	91%	90%	93%	92%	84%	90%	87%	92%	92%	90%	92%
85.9%			86%	86%	86%	86%	84%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%
63.3%			70%	87%	73%	67%	64%	53%	41%	57%	62%	65%	71%	50%	54%	61%	70%	73%	50%	61%	67%	71%
82.1%			68%	87%	82%	91%	77%	79%	74%	91%	89%	82%	74%	93%	78%	80%	84%	81%	86%	93%	83%	70%
85.8%			94%	93%	89%	91%	79%	95%	84%	87%	91%	90%	43%	94%	86%	92%	91%	92%	93%	49%	92%	91%
85.4%			92%	87%	87%	96%	78%	88%	87%	88%	81%	83%	76%	85%	82%	88%	86%	89%	88%	76%	83%	87%
88.8%		95%	86%	82%	86%	87%	94%	86%	91%	95%	90%	86%	86%	95%	94%	83%	89%	89%	86%		93%	84%
90.5%		93%	90%	92%	91%	88%	91%	89%	93%	92%	89%	89%	90%	93%	92%	90%	92%	91%	86%	89%	91%	90%
74.2%		77%	78%	70%	74%	66%	60%	80%	81%	80%	74%	75%	66%	71%	85%	78%	80%	76%	66%	74%	74%	73%
91.0%		95%	93%	92%	95%	93%	87%	92%	82%	93%	94%	94%	80%	92%	90%	92%	95%	89%	92%	94%	94%	83%
94.7%			96%	96%	98%	96%	90%	98%	96%	95%	85%	96%	96%	98%	96%	95%	96%	94%	94%	86%	96%	96%
94.1%			92%	95%	97%	96%	86%	88%	96%	98%	96%	95%	91%	97%	88%	97%	97%	92%	96%	93%	97%	95%
73.0%			88%	87%	80%	79%	63%	72%	78%	73%	77%	79%	51%	70%	64%	81%	74%	87%	63%	48%	64%	81%
81.4%			79%	86%	73%	81%	78%	91%	74%	76%	87%	86%	80%	89%	79%	79%	78%	77%	81%	81%	82%	91%
86.6%		91%	92%	88%	85%	91%	78%	75%	91%	91%	85%	65%	91%	91%	91%	85%	85%	83%	85%	91%	91%	94%
88.6%		90%	85%	88%	95%	97%	86%	83%	83%	96%	93%	81%	93%	95%	86%	83%	85%	93%	86%	82%	91%	89%
72.4%			59%	72%	82%	72%	66%	72%	75%	77%	83%	77%	69%	76%	69%	67%	83%	75%	65%	66%	74%	70%
83.2%		92%	81%	93%	93%	92%	79%	82%	94%	85%	94%	91%	74%	91%	80%	73%	88%	57%	85%	73%	73%	78%
86.5%			72%	89%	90%	86%	87%	84%	95%	94%	90%	95%	60%	96%	90%	76%	87%	94%	92%		95%	72%
91.6%			94%	92%	91%	90%	95%	96%	87%	89%	93%	95%	93%	91%	95%	91%	85%	90%	91%	90%	90%	94%
91.4%			98%	96%	97%	89%	91%	90%	90%	93%	95%	92%	88%	91%	91%	89%	95%	90%	78%	91%	94%	90%
83.5%			87%	88%	94%	96%	72%	81%	85%	93%	94%	82%	82%	86%	67%	90%	94%	85%	88%	55%	64%	88%
89.0%			88%	87%	95%	93%	72%	86%	86%	96%	97%	91%	91%	95%	91%	91%	95%	87%	92%	59%	91%	97%
84.2%			90%	93%	75%	89%	87%	85%	87%	95%	81%	85%	88%	76%	88%	83%	82%	79%	71%	84%	85%	80%
94.3%			94%	96%	96%	97%	89%	92%	93%	95%	97%	92%	93%	96%	92%	96%	96%	93%	93%	97%		94%
89.3%			95%	92%	95%	90%	86%	89%	85%	94%	90%	78%	91%	88%	92%	90%	86%	79%	89%	89%	94%	94%
92.1%			91%	91%	90%	93%	93%	93%	93%	93%	91%	91%	93%	93%	93%	92%	91%	91%	93%	93%	93%	91%
91.0%			92%	92%	90%	89%	91%	92%	90%	87%	90%	89%	93%	90%	95%	92%	92%	90%	93%	90%	89%	93%
91.6%			93%	95%	87%	93%	93%	93%	93%	93%	93%	93%	93%	93%	93%	93%	80%	83%	93%	93%	93%	92%
86.8%			92%	96%	84%	86%	79%	91%	83%	95%	85%	93%	63%	91%	86%	92%	92%	95%	88%	56%	95%	94%
79.6%			90%	81%	95%	87%	80%	86%	89%	81%	72%	90%	90%	73%	70%	81%	83%	59%	66%	87%	74%	57%
87.0%			90%	89%	89%	92%	73%	85%	90%	91%	91%	86%	81%	93%	72%	85%	91%	87%	96%	77%	90%	92%
79.6%			81%	85%	84%	76%	79%	88%	94%	78%	88%	68%	81%	86%	83%	68%	76%	71%	87%	81%	68%	70%
74.1%			88%	89%	81%	89%	84%	87%	72%	63%	90%	58%	53%	64%	76%	76%	81%	54%	42%	64%	88%	83%
79.6%			77%	87%	85%	84%	71%	90%	86%	81%	86%	76%	73%	83%	73%	71%	83%	77%	68%	82%	83%	76%
82.2%			88%	84%	75%	85%	88%	79%	87%	81%	82%	82%	75%	85%	80%	87%	85%	80%	72%	80%	79%	90%
90.6%			97%	98%	94%	94%	82%	94%	76%	91%	85%	92%	72%	84%	96%	89%	99%	90%	100%	97%	94%	88%
93.1%			95%	81%	92%	97%	91%	95%	83%	97%	94%	97%	97%	83%	96%	97%	97%	96%	97%	83%	96%	97%
92.4%			88%	95%	95%	96%	95%	94%	95%	92%	92%	92%	90%	93%	90%	93%	96%	92%	90%	90%	91%	90%
89.4%			92%	91%	87%	90%	92%	88%	91%	89%	89%	89%	89%	89%	89%	86%	86%	89%	89%	86%	93%	93%
75.2%			70%	78%	81%	82%	66%	72%	85%	69%	85%	58%	55%	80%	79%	87%	85%	81%	74%	61%	66%	90%
77.7%			79%	85%	85%	97%	72%	73%	88%	77%	73%	75%	72%	72%	72%	72%	75%	81%	88%	77%	72%	68%
72.5%			77%	75%	82%	88%	61%	63%	64%	66%	70%	64%	76%	78%	68%	83%	77%	81%	72%	58%	57%	91%
90.9%			91%	91%	91%	91%	89%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
84.9%		88%	81%	87%	85%	89%	80%	80%	90%	91%	87%	87%	81%	86%	77%	88%	93%	83%	79%	80%	84%	87%
64.3%		62%	69%	69%	60%	86%	45%	68%	81%	65%	73%	51%	27%	68%	66%	60%	91%	71%	75%	48%	60%	55%
86.0%			86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%
82.4%			84%	88%	91%	88%	66%	88%	83%	92%	87%	81%	83%	87%	69%	90%	88%	78%	87%	41%	91%	87%
80.8%			84%	88%	92%	66%	77%	88%	68%	91%	79%	81%	88%	80%	89%	63%	89%	88%	79%	47%	91%	87%
84.7%			93%	88%	85%	67%	82%	82%	79%	84%	88%	80%	77%	82%	92%	86%	85%	85%	84%	88%	93%	94%
80.6%			73%	91%	90%	75%	72%	90%	85%	88%	78%	75%	69%	92%	83%	68%	76%	87%	82%	79%	69%	90%
81.0%			84%	87%	84%	80%	76%	87%	76%	84%	89%	76%	76%	82%	76%	92%	84%	68%	81%	76%	76%	87%
91.4%			83%	94%	96%	94%	90%	89%	81%	97%	92%	85%	93%	94%	94%	92%	94%	91%	91%	86%	95%	97%
94.3%			92%	95%	97%	95%	90%	90%	94%	96%	96%	92%	94%	96%	92%	96%	96%	97%	95%	95%		94%
78.8%			69%	90%	89%	94%	57%	83%	85%	84%	82%	90%	45%	89%	59%	85%	86%	88%	84%	56%	76%	85%
76.5%			76%	75%	86%	88%	63%	80%	91%	80%	79%	79%	62%	87%	62%	90%	86%	67%	74%	61%	68%	76%
77.8%			90%	75%	80%	79%	78%	71%	70%	81%	80%	87%	74%	68%	71%	87%	81%	78%	79%	65%	87%	76%
82.3%			85%	86%	76%	85%	87%	77%	82%	83%	81%	81%	81%	84%	77%	81%	85%	79%	89%	78%	88%	81%
81.7%			93%	78%	75%	68%	88%	68%	52%	80%	73%	93%	86%	83%	92%	97%	82%	93%	68%	86%	88%	91%
79.3%			79%	79%	85%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%		79%
82.2%			94%	88%	89%	55%	85%	82%	87%	65%	79%	73%	83%	83%	83%	75%	85%	91%	87%	84%	93%	82%
86.3%			90%	98%	94%	86%	78%	85%	88%	89%	87%	86%	56%	88%	89%	86%	91%	93%	91%	86%	74%	91%
78.7%			85%	81%	79%	90%	75%	83%	85%	94%	75%	85%	67%	78%	84%	71%	74%	75%	83%	62%	74%	75%
81.9%			85%	82%	86%	81%	84%	79%	79%	84%	82%	81%	85%	80%	81%	79%	83%	76%	82%	84%	83%	82%
87.9%			92%	94%	90%	95%	93%	96%	87%	84%	88%	85%	75%	87%	85%	85%	93%	86%	84%	89%	86%	85%
85.2%			87%	93%	85%	92%	86%	82%	89%	77%	80%	75%	75%	78%	91%	89%	85%	93%	70%	95%	94%	87%
87.4%			90%	89%	92%	87%	86%	87%	87%	86%	87%	89%	85%	84%	85%	90%	86%	88%	90%	90%	88%	82%
92.4%			86%	96%	95%	96%	87%	88%	94%	96%	95%	83%	92%	95%	90%	97%	95%	92%	92%	90%	95%	94%
90.6%			91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	83%	91%	91%	91%
80.7%			76%	87%	91%	79%	76%	83%	76%	80%	83%	76%	76%	89%	76%	91%	89%	80%	77%	76%	76%	78%
92.3%		92%	97%	94%	97%	97%	90%	95%	92%	93%	92%	92%	93%	90%	87%	89%	94%	90%	92%	92%	92%	89%
84.5%		94%	93%	91%	90%	78%	76%	86%	93%	91%	90%	87%	77%	95%	78%	73%	82%	76%	75%	73%	83%	93%
90.8%			92%	95%	94%	92%	89%	94%	88%	93%	78%	86%	97%	85%	96%	86%	97%	90%	92%	78%	97%	97%
85.3%			93%	89%	84%	90%	86%	80%	84%	89%	90%	90%	81%	80%	89%	84%	89%	81%	79%	83%	89%	76%
92.0%			93%	92%	93%	88%	93%	92%	92%	92%	92%	91%	94%	92%	89%	90%	91%	97%	92%	91%	95%	92%
79.5%			83%	86%	74%	87%	84%	87%	81%	88%	85%	88%	66%	83%	66%	76%	79%	73%	78%	71%	70%	85%
79.2%			93%	81%	89%	82%	67%	82%	80%	75%	74%	83%	86%	71%	70%	80%	84%	70%	63%	92%	78%	84%
81.0%			94%	88%	95%	89%	57%	74%	88%	85%	82%	83%	82%	75%	69%	79%	92%	77%	77%	69%	83%	82%
81.8%			86%	81%	80%	81%	67%	76%	79%	81%	91%	89%	84%	87%	87%	79%	80%	83%	75%	83%	85%	83%
71.5%			65%	74%	75%	83%	75%	70%	70%	70%	73%	82%	47%	79%	73%	75%	72%	66%	67%	69%	59%	86%
79.3%			82%	79%	90%	93%	72%	59%	80%	85%	90%	76%	82%	81%	63%	81%	89%	81%	82%	63%	76%	81%
72.0%		79%	89%	64%	78%	75%	79%	60%	63%	53%	60%	69%	41%	70%	73%	72%	74%	83%	66%	96%	87%	82%
88.0%		89%	84%	84%	94%	85%	83%	88%	86%	86%	94%	91%	89%	95%	86%	84%	94%	88%	80%	89%	87%	91%
57.2%			60%	62%	65%	67%	69%	72%	39%	40%	51%	55%	45%	48%	47%	73%	69%	42%	49%	59%	70%	62%
84.3%			77%	91%	86%	86%	86%	90%	81%	94%	95%	85%	83%	91%	81%	72%	74%	77%	94%	79%		79%
89.5%			95%	94%	92%	83%	90%	91%	97%	79%	87%	96%	78%	94%	86%	96%	89%	96%	84%	91%	90%	83%
85.8%			81%	88%	90%	85%	91%	85%	84%	84%	84%	83%	72%	84%	90%	87%	89%	87%	85%	92%	85%	90%
84.5%			94%	93%	83%	89%	57%	92%	81%	92%	97%	85%	57%	92%	77%	92%	92%	91%	93%	69%	72%	92%
78.8%			91%	95%	95%	84%	73%	74%	88%	84%	83%	80%	72%	84%	63%	77%	78%	72%	61%	74%	75%	74%
82.8%			81%	87%	90%	92%	73%	88%	92%	82%	90%	88%	73%	94%	75%	68%	90%	73%	89%	87%	75%	70%
84.4%		91%	74%	80%	86%	85%	76%	77%	90%	77%	77%	79%	93%	77%	94%	84%	93%	95%	91%		77%	92%
86.1%		92%	99%	92%	90%	92%	86%	89%	82%	87%	84%	73%	92%	80%	74%	93%	74%	81%	88%	84%	87%	90%
82.2%			82%	87%	77%	94%	68%	80%	72%	82%	86%	86%	90%	82%	77%	87%	90%	84%	76%	77%	80%	87%
90.2%		89%	87%	87%	86%	90%	92%	87%	81%	93%	89%	92%	89%	93%	93%	97%	95%	86%	94%	92%	92%	90%
85.1%			90%	82%	91%	91%	73%	86%	88%	88%	80%	86%	87%	88%	86%	86%	87%	86%	85%	70%	86%	86%
81.5%			95%	72%	94%	96%	59%	77%	84%	90%	93%	89%	65%	89%	77%	95%	89%	66%	78%	63%	77%	82%
78.3%			62%	79%	89%	95%	55%	81%	56%	95%	93%	60%	60%	92%	93%	93%	94%	94%	62%	64%	55%	93%
73.1%		65%	66%	81%	70%	81%	79%	83%	81%	73%	73%	82%	59%	81%	73%	63%	72%	76%	67%	70%	81%	60%
88.9%			93%	98%	93%	96%	76%	89%	87%	90%	94%	95%	87%	96%	71%	94%	94%	88%	93%	76%	77%	91%
87.0%			87%	94%	90%	94%	88%	79%	72%	91%	88%	83%	87%	89%	87%	88%	86%	84%	81%	92%	90%	90%
89.4%			88%	91%	91%	98%	90%	95%	91%	90%	91%	87%	79%	88%	90%	91%	91%	79%	87%	91%	94%	85%
89.9%		97%	82%	95%	93%	89%	82%	94%	96%	94%	92%	97%	91%	97%	74%	95%	81%	85%	80%	90%	88%	96%
91.7%			88%	94%	96%	89%	93%	91%	93%	98%	91%	85%	99%	94%	92%	89%	95%	89%	83%	86%	95%	94%
88.7%			91%	93%	91%	92%	77%	92%	92%	93%	94%	88%	80%	92%	73%	88%	93%	93%	88%	83%	92%	88%
80.7%			79%	84%	83%	79%	86%	79%	83%	77%	79%	79%	87%	80%	79%	79%	79%	87%	79%	79%	79%	79%