DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Gender%3Amale Ctx - Run 069e926...

Global Dialogues GD4 - Male (with context)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Social interaction

Economics & Finance

Best Models (Coverage)

1.Gemini 2.5 Flash
87.0%
2.Claude Sonnet 4.5
86.9%
3.Grok 4.1 Fast
86.3%
4.Claude Sonnet 4
86.3%
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		13th 83.6%	9th 85.4%	4th 86.3%	2nd 86.9%	1st 87.0%	21st 79.0%	14th 83.4%	16th 82.7%	8th 85.7%	7th 85.9%	12th 83.8%	20th 79.3%	6th 86.1%	17th 82.3%	10th 85.1%	5th 86.2%	15th 82.9%	18th 81.1%	19th 80.6%	11th 84.5%	3rd 86.3%
82.7%			77%	86%	83%	88%	63%	79%	87%	84%	83%	71%	82%	81%	82%	86%	81%	94%	96%	85%	82%	84%
84.0%			95%	84%	87%	94%	70%	78%	69%	95%	94%	86%	64%	96%	73%	94%	90%	93%	84%	69%	71%	94%
81.4%			86%	89%	87%	89%	74%	69%	84%	94%	91%	89%	61%	90%	61%	90%	88%	83%	81%	66%	67%	89%
84.9%			89%	80%	93%	90%	90%	93%	85%	85%	93%	80%	85%	87%	72%	73%	84%	78%	88%	85%	81%	88%
75.7%			83%	86%	85%	81%	69%	83%	80%	86%	82%	74%	64%	81%	73%	85%	58%	73%	40%	70%	81%	79%
89.9%			87%	93%	92%	91%	83%	88%	93%	90%	91%	89%	88%	90%	84%	94%	95%	91%	88%	90%	89%	91%
68.6%		82%	90%	82%	84%	79%	58%	57%	60%	67%	63%	56%	56%	61%	64%	81%	72%	60%	53%	62%	78%	75%
82.8%			95%	81%	81%	77%	72%	80%	77%	82%	87%	81%	95%	81%	75%	83%	84%	84%	84%	83%		92%
82.6%			94%	95%	95%	80%	90%	85%	87%	77%	94%	73%	70%	90%	91%	77%	91%	78%	29%	84%	91%	82%
70.9%			70%	66%	74%	59%	82%	60%	86%	86%	71%	85%	72%	69%	67%	69%	63%	77%	58%	62%	75%	68%
92.6%			84%	95%	96%	96%	86%	93%	94%	93%	96%	93%	95%	99%	92%	96%	97%	90%	87%	85%	89%	97%
94.3%			87%	87%	99%	98%	92%	97%	91%	98%	94%	98%	88%	98%	98%	91%	95%	94%	92%	94%	98%	98%
87.9%			88%	88%	88%	88%	85%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
65.2%			71%	89%	80%	81%	65%	53%	42%	53%	59%	71%	73%	47%	55%	64%	74%	74%	48%	62%	68%	75%
83.5%			90%	87%	83%	73%	75%	77%	91%	90%	89%	78%	72%	91%	81%	81%	82%	71%	81%	91%	95%	91%
88.1%			98%	96%	93%	91%	81%	95%	68%	89%	93%	92%	55%	96%	95%	89%	91%	89%	96%	74%	91%	91%
86.3%			90%	91%	89%	94%	82%	85%	85%	96%	84%	86%	92%	83%	84%	91%	85%	83%	78%	77%	81%	91%
88.4%			88%	74%	89%	77%	85%	86%	94%	91%	87%	89%	91%	94%	89%	82%	90%	89%	88%	96%	96%	92%
90.9%			92%	94%	92%	89%	90%	88%	92%	92%	90%	91%	89%	91%	93%	91%	92%	89%	90%	91%	91%	91%
77.6%		82%	85%	74%	82%	78%	60%	81%	80%	80%	82%	76%	77%	74%	83%	78%	82%	74%	74%		77%	74%
93.0%			94%	94%	95%	95%	93%	92%	94%	94%	95%	96%	78%	96%	91%	94%	92%	90%	94%	95%	95%	94%
89.9%			94%	92%	96%	97%	88%	95%	62%	96%	91%	98%	98%	90%	93%	98%	95%	93%	69%	60%	98%	95%
92.5%			87%	93%	96%	94%	86%	91%	92%	96%	93%	90%	91%	88%	91%	96%	96%	96%	94%	90%	92%	97%
76.1%			85%	76%	78%	84%	73%	78%	89%	76%	81%	77%	64%	81%	67%	85%	83%	45%	84%	59%	73%	84%
82.9%			77%	87%	80%	78%	89%	91%	79%	86%	85%	88%	82%	87%	82%	79%	91%	83%	60%	82%		90%
88.3%		90%	93%	85%	88%	90%	91%	74%	90%	87%	90%	90%	90%	91%	90%	85%	90%	76%	90%	90%	90%	95%
87.2%		88%	92%	92%	93%	96%	79%	79%	87%	96%	94%	77%	77%	93%	77%	98%	88%	81%	91%	82%	90%	82%
77.5%			61%	79%	78%	79%	71%	76%	89%	77%	84%	82%	63%	77%	68%	78%	87%	92%	82%	71%	77%	79%
83.6%			86%	90%	88%	88%	80%	78%	86%	83%	93%	89%	72%	92%	78%	86%	88%	79%	84%	75%	77%	80%
83.7%			76%	90%	83%	88%	75%	82%	89%	92%	95%	93%	65%	92%	90%	87%	84%	90%	50%	90%	92%	71%
93.2%			92%	90%	91%	92%	92%	95%	90%	99%	96%	96%	95%	95%	95%	85%	89%	90%	95%	95%	98%	94%
87.9%			93%	88%	89%	92%	88%	89%	81%	92%	93%	91%	89%	88%	86%	88%	88%	89%	76%	84%	89%	84%
80.4%			90%	87%	86%	84%	63%	80%	83%	85%	83%	76%	90%	78%	68%	94%	92%	82%	84%	48%	64%	91%
84.8%			86%	82%	93%	95%	69%	84%	73%	95%	92%	89%	48%	86%	89%	89%	93%	93%	90%	69%	87%	94%
87.9%			83%	87%	82%	95%	87%	85%	93%	90%	86%	95%	91%	76%	91%	77%	94%	83%	79%	96%	91%	96%
90.3%			94%	90%	88%	89%	85%	94%	84%	93%	89%	91%	91%	92%	94%	89%	89%	89%	89%	92%	94%	89%
89.1%			92%	93%	95%	95%	89%	81%	80%	92%	91%	77%	93%	84%	92%	90%	90%	95%	77%	88%	93%	95%
87.5%			87%	88%	88%	88%	88%	88%	89%	87%	87%	89%	88%	88%	88%	86%	88%	86%	86%	88%	88%	86%
90.5%			92%	92%	90%	91%	77%	89%	92%	91%	91%	90%	85%	92%	93%	89%	93%	88%	93%	94%	93%	94%
87.0%			88%	88%	85%	88%	87%	88%	88%	88%	88%	88%	88%	88%	88%	88%	81%	83%	88%	88%	88%	84%
86.5%			93%	91%	78%	82%	82%	89%	91%	88%	81%	97%	57%	87%	95%	88%	81%	93%	98%	76%	96%	88%
82.4%			93%	79%	95%	82%	79%	80%	92%	81%	75%	92%	97%	67%	77%	81%	75%	64%	84%	94%	72%	90%
85.1%			94%	88%	95%	93%	72%	89%	91%	92%	89%	74%	76%	84%	60%	96%	92%	85%	78%	80%	80%	94%
78.3%			84%	76%	75%	75%	80%	86%	91%	82%	84%	74%	72%	88%	88%	71%	76%	83%	62%	76%	66%	78%
76.5%			89%	90%	90%	88%	84%	91%	65%	66%	88%	71%	61%	73%	71%	57%	75%	66%	61%	65%	92%	87%
83.9%			73%	84%	92%	80%	79%	95%	93%	94%	87%	82%	81%	87%	85%	73%	89%	74%	80%	87%	92%	72%
83.1%			89%	87%	78%	96%	89%	82%	89%	83%	84%	86%	73%	87%	82%	79%	83%	77%	66%	78%	79%	95%
88.6%			91%	98%	99%	90%	10%	92%	88%	86%	92%	85%	90%	92%	97%	97%	81%	99%	99%	94%	99%	92%
90.7%			95%	85%	98%	98%	92%	99%	62%	91%	87%	95%	95%	94%	95%	95%	97%	98%	67%	77%	98%	96%
92.2%			86%	92%	96%	97%	95%	95%	97%	89%	95%	89%	89%	93%	89%	96%	96%	93%	88%	87%	90%	92%
91.7%			94%	91%	95%	94%	88%	92%	93%	94%	93%	92%	92%	93%	92%	88%	89%	89%	89%	91%	92%	92%
75.0%			73%	80%	76%	87%	62%	68%	65%	80%	80%	77%	77%	85%	76%	77%	78%	77%	84%	54%	67%	77%
80.7%			79%	86%	83%	85%	78%	77%	91%	82%	73%	79%	77%	77%	77%	82%	77%	80%	92%	81%	77%	81%
74.6%			68%	74%	74%	77%	68%	66%	67%	68%	80%	75%	61%	77%	72%	92%	88%	85%	78%	64%	64%	94%
90.6%			91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	84%	91%	91%	91%
81.8%		84%	78%	82%	90%	82%	75%	72%	81%	83%	81%	81%	79%	88%	82%	87%	90%	82%	86%	74%	79%	81%
68.3%		63%	79%	66%	63%	87%	47%	76%	77%	63%	63%	59%	47%	63%	74%	61%	77%	82%	65%		78%	76%
88.0%			88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
84.3%			85%	86%	90%	91%	70%	92%	81%	94%	87%	85%	77%	88%	68%	91%	87%	83%	91%	64%	91%	86%
82.8%			75%	80%	88%	69%	77%	87%	74%	88%	88%	81%	89%	78%	89%	84%	92%	82%	74%	80%	94%	86%
86.4%			95%	95%	87%	76%	90%	79%	79%	80%	94%	82%	79%	83%	93%	75%	97%	85%	88%	88%	91%	92%
80.5%			64%	93%	81%	81%	71%	83%	81%	91%	72%	65%	92%	92%	78%	66%	86%	82%	83%	85%	72%	91%
89.7%			95%	95%	93%	85%	86%	91%	86%	91%	89%	86%	86%	85%	86%	94%	97%	98%	88%	86%	86%	91%
92.5%			84%	94%	97%	95%	85%	89%	97%	95%	95%	91%	92%	97%	96%	92%	93%	94%	90%	85%	94%	94%
89.4%			86%	91%	92%	91%	88%	88%	87%	92%	91%	88%	86%	92%	86%	90%	94%	86%	87%	92%	88%	93%
74.7%			69%	81%	81%	88%	60%	82%	83%	76%	78%	78%	42%	84%	57%	97%	83%	76%	79%	54%	72%	74%
73.3%			73%	73%	73%	90%	64%	78%	85%	72%	77%	73%	55%	82%	61%	79%	82%	80%	79%	57%	63%	70%
79.4%			90%	83%	80%	76%	81%	72%	65%	80%	73%	85%	70%	73%	82%	88%	82%	74%	82%	84%	88%	80%
82.0%			86%	85%	79%	84%	89%	72%	86%	78%	81%	79%	84%	83%	86%	85%	80%	83%	77%	76%	83%	83%
80.9%			92%	80%	80%	60%	83%	80%	56%	80%	70%	90%	85%	84%	87%	94%	82%	76%	93%	88%	84%	75%
80.3%			80%	80%	83%	80%	82%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%	80%
80.6%			79%	85%	84%	70%	83%	80%	72%	65%	84%	65%	87%	88%	89%	73%	83%	92%	90%	72%	94%	77%
85.8%			88%	92%	94%	83%	79%	85%	84%	88%	85%	84%	68%	89%	84%	78%	90%	94%	98%	84%	79%	89%
75.0%			74%	83%	81%	87%	63%	87%	88%	86%	79%	74%	61%	79%	82%	73%	72%	71%	71%	54%	65%	69%
84.7%			88%	89%	90%	88%	87%	79%	79%	91%	85%	85%	84%	84%	83%	83%	86%	79%	80%	83%	88%	83%
88.8%			91%	91%	93%	94%	87%	90%	91%	86%	90%	89%	77%	89%	89%	89%	92%	83%	85%	90%	90%	89%
82.5%			97%	92%	79%	94%	91%	78%	73%	86%	83%	77%	74%	78%	86%	78%	84%	82%	66%	76%	95%	82%
86.6%			86%	87%	91%	87%	84%	89%	85%	88%	89%	87%	84%	89%	87%	80%	89%	84%	90%	86%	84%	85%
89.8%			79%	94%	92%	93%	84%	86%	93%	95%	95%	86%	91%	93%	86%	94%	93%	93%	89%	81%	89%	89%
91.1%			91%	91%	91%	91%	94%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
89.2%			86%	87%	98%	86%	86%	95%	87%	89%	93%	86%	86%	92%	86%	94%	95%	91%	90%	86%	86%	86%
93.4%			96%	91%	95%	98%	92%	95%	93%	94%	97%	98%	86%	96%	87%	98%	94%	88%	81%	98%	98%	93%
85.0%			93%	95%	86%	78%	79%	82%	93%	91%	89%	87%	72%	91%	79%	90%	85%	83%	82%	73%	83%	90%
89.1%			89%	94%	95%	91%	91%	92%	61%	93%	76%	87%	95%	95%	93%	95%	92%	84%	86%	85%	95%	94%
85.3%			89%	91%	79%	89%	87%	86%	73%	89%	88%	90%	87%	84%	86%	81%	88%	87%	81%	85%		81%
91.4%			84%	92%	93%	92%	91%	87%	84%	95%	95%	93%	92%	94%	93%	92%	93%	92%	92%	87%	93%	95%
82.2%			87%	86%	86%	87%	88%	90%	87%	88%	87%	91%	70%	84%	70%	90%	78%	80%	77%	70%	70%	79%
78.0%			87%	82%	84%	88%	74%	79%	68%	76%	75%	81%	96%	74%	72%	76%	75%	63%	66%	86%	74%	84%
81.3%			91%	82%	90%	94%	67%	75%	89%	87%	88%	78%	73%	78%	73%	86%	87%	82%	82%	73%	73%	78%
83.3%			89%	81%	80%	85%	65%	84%	86%	91%	96%	81%	85%	93%	86%	78%	76%	81%	74%	89%	93%	73%
72.3%			72%	68%	79%	86%	61%	70%	73%	76%	68%	81%	80%	75%	67%	76%	71%	66%	63%	69%	63%	82%
80.0%			78%	91%	84%	92%	75%	58%	83%	83%	77%	78%	78%	92%	73%	78%	93%	68%	91%	69%	75%	84%
74.0%		88%	90%	77%	77%	73%	79%	66%	68%	52%	62%	70%	63%	75%	66%	74%	60%	69%	77%	92%	86%	89%
85.5%			77%	83%	89%	89%	81%	82%	77%	80%	94%	87%	86%	86%	81%	90%	89%	94%	89%	85%	82%	89%
59.3%			53%	62%	61%	51%	78%	64%	54%	53%	54%	61%	55%	53%	59%	71%	72%	52%	53%	58%		62%
85.9%			82%	89%	90%	87%	79%	84%	83%	92%	94%	90%	95%	91%	83%	73%	62%	94%	95%	77%	91%	88%
87.3%			93%	95%	96%	95%	89%	91%	84%	85%	89%	85%	77%	97%	88%	83%	89%	60%	85%	86%	92%	86%
83.5%			84%	84%	87%	89%	77%	84%	84%	85%	84%	82%	62%	85%	77%	84%	93%	90%	84%	86%	84%	85%
86.9%			85%	95%	94%	95%	64%	92%	92%	93%	96%	85%	63%	94%	73%	92%	93%	94%	83%	86%	75%	95%
84.8%			96%	96%	91%	95%	81%	84%	76%	92%	89%	85%	82%	93%	74%	75%	86%	76%	65%	81%	87%	92%
80.3%			75%	83%	88%	91%	71%	83%	92%	70%	91%	88%	69%	94%	74%	70%	86%	68%	71%	91%		70%
82.2%			80%	82%	83%	81%	71%	80%	85%	83%	81%	84%	83%	79%	84%	90%	92%	82%	82%	75%	79%	87%
84.5%		94%	92%	92%	92%	90%	82%	82%	83%	80%	81%	58%	93%	86%	84%	91%	84%	76%	63%	90%	93%	88%
81.5%			86%	76%	84%	88%	60%	70%	70%	84%	88%	82%	88%	84%	77%	90%	89%	82%	92%	71%	77%	91%
89.8%			83%	85%	89%	85%	90%	84%	95%	93%	88%	94%	82%	93%	88%	96%	93%	91%	93%	92%	91%	90%
85.0%			91%	80%	92%	87%	74%	86%	80%	87%	87%	97%	86%	88%	87%	88%	92%	87%	69%	66%	88%	88%
83.1%			95%	77%	86%	90%	76%	75%	75%	93%	94%	87%	70%	94%	80%	89%	92%	74%	79%	75%	78%	83%
79.8%			65%	76%	79%	91%	60%	80%	76%	80%	91%	68%	65%	92%	87%	91%	90%	83%	89%	84%	61%	89%
78.2%		72%	65%	80%	65%	96%	83%	88%	85%	78%	79%	88%	56%	93%	95%	68%	73%	80%	84%	66%	86%	62%
89.6%			95%	92%	97%	97%	75%	92%	85%	96%	95%	88%	88%	97%	74%	92%	94%	74%	98%	92%	78%	92%
88.3%			78%	90%	88%	95%	91%	75%	87%	93%	84%	85%	79%	83%	97%	93%	93%	85%	91%	92%	94%	93%
85.8%			88%	89%	87%	92%	81%	89%	85%	80%	86%	83%	70%	87%	93%	88%	92%	83%	80%	83%	85%	95%
88.7%		93%	83%	88%	91%	85%	79%	94%	91%	85%	93%	90%	90%	94%	85%	88%	83%	88%	88%	90%	87%	98%
91.5%			95%	94%	88%	92%	93%	90%	88%	95%	93%	89%	94%	93%	89%	88%	91%	91%	89%	90%	94%	94%
88.3%			91%	91%	90%	91%	67%	90%	91%	90%	91%	91%	81%	91%	84%	92%	92%	91%	88%	87%	88%	88%
81.7%			80%	82%	84%	80%	90%	84%	82%	82%	80%	80%	86%	80%	80%	80%	80%	80%	80%	84%	80%	80%