DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AiConcern%3Amore Concerned Than Excited Ctx - Run f577773...

Global Dialogues GD4 - More concerned than excited (with context)

DTEF: Predict response distributions for More concerned than excited. 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

AI Safety & Robustness

Best Models (Coverage)

1.GPT 5.1
84.9%
2.Claude Sonnet 4.5
84.8%
3.GPT 4.1
84.0%
4.Gemini 2.5 Flash
83.4%
5.Claude Sonnet 4
83.3%

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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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		- -	9th 81.7%	5th 83.3%	2nd 84.8%	4th 83.4%	17th 76.0%	10th 81.3%	14th 79.5%	7th 83.2%	3rd 84.0%	13th 80.1%	19th 75.5%	8th 82.5%	20th 74.7%	12th 80.6%	1st 84.9%	11th 80.8%	15th 79.0%	18th 75.7%	16th 78.5%	6th 83.3%
72.9%			66%	74%	79%	76%	67%	75%	76%	79%	85%	69%	57%	75%	52%	73%	74%	79%	71%	66%	74%	90%
82.3%			94%	94%	96%	92%	56%	80%	75%	89%	94%	72%	35%	93%	62%	92%	92%	90%	92%	87%	70%	92%
76.5%			70%	78%	78%	82%	76%	68%	70%	78%	86%	80%	67%	85%	68%	80%	83%	79%	74%	69%	73%	85%
77.9%			89%	71%	80%	77%	82%	83%	81%	80%	87%	79%	78%	86%	69%	52%	85%	75%	78%	77%	67%	83%
82.5%			86%	94%	94%	68%	65%	82%	94%	77%	91%	74%	81%	86%	82%	87%	84%	86%	76%	75%	78%	90%
85.1%			87%	88%	87%	87%	78%	79%	85%	86%	89%	85%	83%	89%	86%	89%	88%	89%	80%	77%	82%	88%
66.3%			89%	70%	78%	65%	61%	60%	71%	71%	68%	65%	60%	64%	66%	63%	65%	63%	66%	60%	60%	60%
81.3%			83%	84%	80%	85%	82%	86%	84%	91%	92%	85%	57%	83%	71%	83%	84%	77%	72%	80%	82%	84%
80.8%			95%	82%	93%	78%	70%	94%	69%	85%	88%	79%	61%	82%	69%	64%	96%	80%	86%	70%	88%	87%
70.3%			70%	76%	62%	62%	89%	70%	54%	80%	65%	62%	79%	76%	89%	61%	71%	83%	57%	70%	58%	71%
90.5%			92%	91%	93%	90%	82%	87%	78%	90%	92%	89%	93%	94%	92%	95%	94%	90%	94%	90%	89%	95%
91.8%			87%	80%	92%	94%	91%	95%	87%	91%	95%	94%	89%	94%	94%	93%	91%	90%	94%	96%	94%	94%
78.5%			79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	69%	79%	79%	79%
55.3%			58%	71%	71%	60%	57%	52%	25%	55%	59%	67%	65%	36%	39%	57%	61%	51%	49%	55%	52%	66%
74.8%			72%	77%	86%	75%	49%	68%	77%	82%	87%	65%	67%	88%	51%	67%	84%	72%	82%	88%	73%	86%
85.2%			97%	94%	88%	84%	71%	94%	86%	87%	86%	81%	77%	88%	94%	83%	91%	85%	91%	37%	97%	93%
81.8%			90%	80%	93%	93%	66%	85%	86%	84%	82%	72%	86%	71%	72%	82%	88%	68%	89%	78%	79%	92%
85.7%			85%	82%	86%	81%	90%	84%	90%	90%	88%	87%	77%	89%	83%	86%	87%	86%	83%	83%	91%	85%
86.2%			85%	86%	86%	91%	90%	84%	89%	89%	86%	86%	79%	95%	82%	89%	86%	84%	83%	83%	89%	83%
64.3%			56%	61%	64%	67%	58%	66%	68%	50%	67%	59%	59%	59%	67%	62%	100%	63%	58%	52%	51%	100%
85.0%			86%	84%	86%	85%	84%	84%	83%	89%	84%	88%	83%	85%	83%	85%	88%	83%	89%	83%	83%	86%
93.4%			95%	92%	97%	96%	95%	95%	85%	94%	89%	96%	96%	90%	96%	96%	93%	92%	95%	84%	96%	96%
88.6%			85%	91%	91%	95%	85%	84%	76%	91%	93%	95%	86%	90%	81%	88%	95%	91%	91%	82%	87%	95%
71.1%			77%	79%	81%	77%	47%	74%	74%	71%	69%	78%	61%	66%	72%	81%	75%	65%	81%	50%	63%	81%
71.0%			61%	78%	63%	59%	83%	84%	80%	79%	71%	67%	89%	69%	53%	67%	79%	50%	47%	82%	84%	74%
82.6%			89%	85%	87%	86%	74%	72%	86%	86%	84%	79%	86%	89%	86%	81%	79%	75%	76%	86%	86%	80%
86.6%			93%	95%	85%	87%	87%	90%	86%	85%	90%	69%	74%	97%	91%	94%	91%	82%	93%	69%	95%	79%
77.3%			68%	79%	81%	78%	74%	73%	73%	82%	85%	82%	85%	79%	70%	76%	81%	75%	74%	78%	78%	75%
76.3%			75%	79%	75%	86%	74%	80%	76%	83%	85%	83%	78%	84%	65%	75%	80%	69%	82%	68%	63%	66%
86.8%			77%	83%	88%	90%	80%	91%	92%	94%	93%	89%	81%	95%	74%	94%	87%	90%	84%	85%	93%	77%
92.5%			92%	95%	95%	93%	90%	93%	93%	94%	93%	97%	95%	92%	86%	92%	88%	92%	91%	95%	92%	92%
87.6%			96%	93%	92%	94%	92%	82%	82%	93%	94%	81%	75%	86%	89%	88%	94%	84%	66%	88%	90%	93%
75.7%			79%	85%	83%	83%	81%	73%	90%	88%	84%	79%	72%	75%	50%	79%	81%	57%	83%	47%	64%	80%
79.3%			82%	81%	88%	86%	61%	80%	67%	87%	82%	82%	83%	86%	83%	86%	88%	82%	75%	35%	83%	90%
82.8%			73%	84%	81%	82%	83%	79%	87%	85%	83%	80%	92%	83%	82%	83%	83%	86%	72%	82%	83%	92%
90.2%			95%	90%	91%	91%	94%	90%	86%	93%	86%	91%	88%	91%	89%	88%	86%	89%	91%	93%	92%	89%
88.4%			93%	94%	92%	91%	93%	90%	79%	91%	96%	73%	87%	94%	87%	89%	92%	87%	69%	88%	90%	93%
84.2%			84%	84%	86%	84%	85%	85%	85%	85%	84%	83%	85%	88%	85%	83%	83%	83%	83%	85%	85%	79%
84.7%			85%	84%	83%	82%	89%	84%	84%	83%	80%	81%	86%	85%	86%	81%	84%	82%	89%	91%	91%	84%
85.0%			85%	89%	80%	85%	89%	85%	84%	85%	85%	85%	89%	85%	85%	85%	82%	85%	85%	85%	85%	83%
84.6%			97%	97%	82%	84%	73%	95%	89%	91%	85%	95%	92%	84%	97%	87%	88%	94%	28%	47%	93%	94%
77.9%			94%	78%	87%	81%	75%	83%	92%	85%	70%	78%	93%	66%	58%	70%	81%	69%	58%	84%	71%	85%
80.7%			90%	82%	88%	91%	78%	78%	79%	87%	91%	82%	78%	80%	55%	80%	88%	88%	68%	65%	79%	87%
78.7%			74%	75%	86%	88%	59%	84%	82%	74%	79%	70%	65%	91%	91%	91%	84%	90%	81%	59%	62%	88%
69.6%			68%	84%	80%	90%	82%	66%	33%	83%	88%	35%	35%	96%	33%	65%	85%	75%	79%	43%	78%	95%
75.2%			74%	78%	89%	73%	63%	85%	82%	77%	79%	69%	66%	79%	66%	65%	78%	68%	75%	80%	88%	70%
84.6%			75%	80%	84%	86%	79%	86%	91%	90%	88%	80%	85%	90%	85%	89%	86%	92%	79%	83%	82%	83%
91.5%			96%	98%	92%	98%	93%	93%	89%	87%	88%	95%	94%	93%	88%	91%	95%	92%	91%	86%	91%	81%
92.0%			92%	89%	90%	94%	85%	96%	78%	96%	94%	93%	95%	87%	93%	93%	98%	93%	96%	86%	96%	97%
81.1%			76%	76%	85%	84%	82%	85%	87%	80%	90%	78%	79%	81%	79%	81%	84%	80%	78%	79%	76%	82%
79.0%			80%	74%	74%	78%	83%	77%	72%	81%	81%	80%	83%	77%	83%	75%	76%	78%	80%	83%	81%	83%
66.4%			50%	83%	83%	46%	45%	76%	55%	66%	87%	68%	59%	77%	48%	74%	89%	78%	72%	48%	52%	72%
68.7%			62%	80%	80%	85%	60%	65%	67%	67%	71%	62%	67%	67%	44%	67%	81%	73%	64%	67%	67%	77%
74.8%			69%	82%	84%	88%	49%	69%	74%	70%	76%	80%	58%	75%	74%	84%	93%	81%	91%	62%	51%	86%
89.0%			89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
75.1%			64%	86%	87%	96%	78%	72%	76%	83%	83%	70%	69%	77%	62%	73%	82%	66%	76%	68%	66%	69%
62.2%			62%	64%	65%	75%	36%	56%	79%	63%	72%	45%	39%	51%	63%	57%	87%	71%	80%	66%	59%	55%
79.1%			79%	79%	79%	79%	79%	79%	81%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%
83.6%			83%	87%	91%	86%	68%	84%	86%	88%	87%	87%	84%	91%	84%	92%	89%	89%	80%	42%	86%	88%
88.8%			88%	87%	89%	94%	81%	92%	86%	93%	96%	92%	96%	96%	96%	67%	97%	95%	88%	61%	88%	94%
80.8%			90%	81%	83%	64%	80%	87%	84%	75%	80%	86%	68%	75%	78%	76%	81%	85%	95%	81%	74%	93%
81.3%			75%	82%	83%	82%	78%	86%	86%	93%	83%	77%	71%	88%	71%	80%	87%	86%	84%	81%	75%	78%
80.1%			68%	92%	90%	81%	74%	96%	81%	84%	90%	62%	62%	80%	83%	88%	91%	86%	80%	62%	65%	87%
88.0%			88%	88%	88%	93%	84%	66%	81%	90%	90%	89%	86%	93%	89%	92%	90%	91%	92%	88%	88%	93%
88.3%			84%	90%	91%	96%	80%	85%	97%	92%	90%	85%	86%	90%	77%	85%	94%	94%	89%	89%	86%	85%
71.4%			58%	64%	83%	91%	63%	84%	82%	78%	77%	74%	42%	78%	38%	86%	75%	84%	90%	46%	67%	67%
67.7%			75%	63%	77%	79%	63%	64%	74%	77%	75%	58%	58%	73%	43%	74%	79%	69%	83%	50%	53%	66%
68.4%			82%	77%	68%	70%	64%	60%	60%	66%	76%	77%	62%	78%	51%	72%	73%	69%	60%	60%	77%	66%
71.9%			74%	75%	75%	73%	74%	71%	64%	77%	74%	70%	72%	68%	72%	75%	80%	56%	73%	76%	73%	66%
80.1%			95%	84%	75%	64%	93%	83%	46%	87%	77%	74%	84%	69%	85%	80%	98%	70%	76%	98%	95%	68%
85.2%			85%	85%	95%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%	79%	85%	85%	85%
76.6%			87%	87%	85%	74%	65%	91%	70%	66%	81%	72%	86%	82%	51%	63%	82%	77%	81%	70%	74%	87%
80.2%			77%	87%	86%	93%	72%	81%	77%	83%	79%	78%	71%	85%	71%	74%	87%	88%	80%	86%	75%	74%
67.7%			72%	78%	80%	79%	47%	60%	69%	77%	74%	65%	45%	66%	56%	71%	80%	77%	78%	35%	63%	81%
88.8%			91%	95%	92%	88%	84%	84%	85%	91%	91%	91%	87%	85%	90%	91%	91%	91%	81%	89%	91%	89%
87.1%			96%	90%	94%	80%	90%	96%	81%	88%	90%	85%	85%	87%	85%	85%	89%	83%	85%	84%	85%	85%
81.7%			79%	81%	91%	89%	77%	90%	86%	87%	91%	87%	75%	76%	76%	69%	80%	75%	76%	80%	81%	87%
83.5%			80%	84%	90%	90%	83%	88%	85%	87%	81%	88%	73%	83%	67%	80%	86%	91%	80%	83%	86%	84%
89.4%			88%	91%	90%	92%	89%	84%	94%	89%	91%	87%	89%	90%	85%	91%	93%	89%	90%	85%	91%	90%
89.0%			89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	88%	89%	89%	89%
73.0%			62%	77%	89%	76%	70%	72%	65%	74%	84%	62%	62%	88%	62%	80%	91%	85%	67%	62%	62%	70%
93.0%			94%	93%	94%	94%	92%	93%	89%	91%	93%	94%	94%	94%	87%	97%	93%	97%	99%	86%	94%	93%
75.5%			82%	91%	83%	66%	71%	71%	81%	86%	87%	86%	55%	79%	56%	87%	85%	70%	64%	66%	66%	79%
88.5%			87%	90%	88%	93%	89%	92%	87%	87%	83%	84%	93%	85%	89%	93%	82%	91%	93%	83%	89%	91%
82.8%			76%	82%	87%	88%	84%	87%	79%	87%	87%	86%	88%	88%	77%	78%	78%	76%	86%	70%	84%	89%
93.0%			96%	97%	94%	94%	88%	88%	81%	97%	94%	94%	92%	94%	98%	95%	93%	88%	91%	93%	95%	98%
77.8%			81%	79%	77%	82%	70%	80%	78%	83%	76%	82%	76%	76%	76%	80%	67%	80%	78%	76%	76%	82%
82.2%			90%	84%	85%	86%	76%	82%	82%	79%	80%	87%	88%	72%	78%	77%	80%	74%	85%	93%	81%	85%
83.5%			94%	89%	92%	96%	72%	88%	85%	81%	86%	83%	76%	80%	76%	87%	89%	82%	84%	76%	71%	83%
79.8%			79%	83%	82%	86%	79%	96%	82%	90%	89%	79%	85%	70%	57%	79%	81%	79%	69%	73%	79%	79%
72.2%			74%	64%	68%	86%	76%	73%	73%	80%	68%	84%	50%	68%	69%	68%	75%	72%	69%	89%	55%	82%
82.2%			83%	90%	90%	90%	76%	64%	85%	81%	85%	92%	83%	83%	75%	81%	90%	70%	86%	76%	83%	81%
74.9%			89%	75%	86%	87%	83%	69%	73%	67%	69%	75%	74%	72%	62%	67%	74%	68%	77%	88%	74%	68%
91.6%			88%	89%	93%	91%	94%	93%	90%	94%	94%	93%	91%	91%	90%	93%	96%	88%	87%	91%	92%	93%
66.7%			65%	72%	70%	76%	65%	71%	55%	55%	55%	86%	39%	75%	81%	82%	73%	65%	43%	56%	76%	74%
75.6%			66%	76%	79%	80%	82%	90%	87%	72%	89%	83%	55%	82%	82%	61%	66%	73%	69%	73%	73%	73%
87.5%			92%	88%	94%	94%	89%	93%	90%	89%	87%	82%	76%	92%	69%	91%	86%	88%	87%	80%	86%	98%
82.0%			79%	85%	87%	76%	82%	78%	88%	81%	91%	79%	77%	82%	83%	77%	85%	77%	77%	85%	85%	87%
81.6%			90%	91%	82%	93%	38%	86%	84%	87%	92%	86%	36%	87%	89%	89%	90%	93%	87%	72%	71%	89%
83.0%			91%	93%	91%	84%	79%	82%	69%	86%	83%	81%	89%	85%	80%	89%	80%	85%	71%	89%	69%	83%
71.3%			73%	83%	78%	48%	55%	80%	81%	85%	88%	78%	36%	90%	49%	63%	83%	87%	70%	75%	64%	60%
79.6%			78%	83%	83%	83%	78%	84%	80%	84%	82%	80%	76%	81%	77%	68%	81%	79%	76%	78%	77%	85%
84.0%			93%	94%	91%	89%	78%	86%	82%	78%	79%	87%	89%	81%	67%	83%	94%	88%	54%	89%	89%	89%
75.8%			71%	65%	69%	83%	76%	84%	68%	79%	79%	80%	75%	81%	65%	74%	75%	83%	84%	71%	76%	77%
86.5%			84%	80%	80%	85%	83%	84%	80%	87%	84%	86%	90%	89%	88%	89%	91%	89%	92%	90%	87%	91%
83.9%			88%	88%	90%	86%	76%	83%	84%	79%	90%	95%	86%	86%	62%	84%	93%	79%	84%	74%	85%	85%
70.8%			86%	70%	85%	83%	56%	62%	66%	85%	85%	78%	65%	78%	39%	79%	76%	84%	69%	46%	54%	70%
80.7%			83%	81%	86%	84%	47%	76%	75%	92%	88%	62%	92%	92%	92%	89%	84%	84%	79%	92%	44%	92%
70.7%			68%	73%	79%	72%	72%	73%	73%	77%	74%	70%	60%	76%	82%	67%	66%	62%	65%	76%	69%	60%
83.7%			89%	84%	93%	86%	75%	76%	82%	90%	84%	86%	80%	86%	66%	83%	91%	81%	85%	92%	78%	87%
84.5%			87%	86%	87%	88%	86%	87%	86%	91%	82%	89%	50%	89%	85%	87%	87%	91%	77%	85%	84%	87%
84.4%			93%	87%	89%	90%	83%	84%	93%	84%	88%	78%	81%	84%	69%	78%	90%	71%	85%	86%	82%	93%
81.9%			71%	86%	79%	78%	63%	85%	86%	84%	90%	86%	86%	85%	66%	88%	87%	83%	85%	86%	81%	83%
92.1%			92%	93%	94%	91%	88%	94%	85%	95%	93%	92%	91%	94%	91%	91%	93%	95%	91%	93%	93%	93%
83.8%			84%	88%	88%	88%	81%	84%	94%	91%	89%	84%	61%	84%	81%	84%	91%	90%	84%	62%	84%	84%
85.5%			82%	91%	91%	85%	89%	84%	85%	85%	85%	85%	79%	85%	85%	85%		88%	85%	85%	85%	85%