DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AiConcern%3Amore Excited Than Concerned Ctx - Run 82d7848...

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

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Social interaction

Economics & Finance

AI Safety & Robustness

Best Models (Coverage)

1.Claude 3.7 Sonnet
86.6%
2.Claude Sonnet 4
86.5%
3.Claude Sonnet 4.5
86.5%
4.GPT 5.1
86.3%
5.Grok 4.1 Fast
86.1%

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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		1st 86.6%	10th 84.8%	2nd 86.5%	3rd 86.5%	7th 85.2%	21st 79.0%	15th 82.8%	16th 82.1%	9th 85.1%	5th 86.1%	12th 84.1%	20th 79.4%	8th 85.2%	17th 81.9%	11th 84.4%	4th 86.3%	14th 83.1%	18th 80.7%	19th 80.3%	13th 83.7%	6th 86.1%
85.1%			77%	88%	84%	84%	80%	78%	86%	86%	82%	86%	84%	84%	84%	93%	86%	90%	90%	89%	84%	87%
85.9%			95%	88%	78%	91%	68%	82%	92%	90%	94%	87%	72%	96%	72%	96%	86%	84%	96%	78%	79%	93%
84.6%			89%	92%	88%	93%	76%	62%	87%	89%	91%	91%	60%	90%	89%	89%	90%	83%	90%	73%	80%	89%
85.2%			91%	85%	90%	81%	85%	93%	86%	86%	88%	75%	84%	87%	87%	84%	80%	82%	84%	82%	84%	90%
79.4%			87%	91%	89%	83%	69%	84%	81%	78%	77%	70%	75%	85%	63%	86%	88%	80%	64%	75%	82%	80%
90.3%			92%	93%	92%	93%	82%	89%	86%	91%	92%	88%	92%	91%	90%	92%	94%	91%	89%	88%	88%	93%
71.8%		91%	86%	88%	91%	85%	53%	51%	80%	72%	65%	51%	51%	71%	63%	83%	82%	64%	64%	51%	83%	82%
87.1%			96%	77%	86%	89%	74%	90%	95%	97%	85%	88%	92%	89%	80%	94%	83%	89%	85%	79%	86%	88%
84.5%			85%	97%	80%	75%	99%	84%	85%	80%	94%	72%	67%	90%	77%	70%	97%	88%	86%	90%	94%	79%
63.5%			66%	64%	66%	61%	77%	62%	83%	57%	67%	50%	72%	68%	51%	61%	56%	66%	47%	63%	72%	61%
91.9%			86%	97%	95%	98%	85%	94%	87%	92%	96%	88%	96%	96%	93%	97%	95%	88%	91%	87%	84%	93%
91.9%			88%	80%	93%	96%	89%	90%	97%	90%	90%	97%	87%	95%	97%	87%	92%	93%	89%	97%	94%	97%
89.2%			89%	89%	89%	89%	89%	89%	92%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
72.6%			86%	94%	85%	75%	72%	52%	56%	69%	67%	79%	62%	48%	70%	75%	81%	82%	82%	71%	73%	72%
83.5%			78%	85%	90%	73%	77%	88%	71%	92%	90%	81%	62%	92%	75%	92%	82%	79%	92%	92%	92%	87%
89.5%			95%	93%	96%	91%	86%	94%	93%	90%	92%	94%	62%	91%	90%	91%	92%	92%	91%	75%	92%	91%
90.3%			91%	86%	87%	94%	84%	91%	99%	88%	86%	95%	86%	87%	93%	93%	88%	92%	88%	91%	96%	91%
88.3%		85%	93%	81%	89%	94%	88%	87%	91%	96%	90%	95%	77%	94%	75%	91%	96%	81%	86%	86%	91%	89%
92.4%		92%	93%	91%	93%	93%	91%	92%	93%	92%	92%	92%	93%	92%	95%	93%	92%	93%	91%	92%	93%	93%
73.8%		100%	72%	100%	66%	70%	57%	68%	55%	55%	100%	72%	69%	53%	63%	100%	100%	64%	59%	66%	61%	100%
89.7%		88%	85%	91%	93%	94%	87%	89%	93%	92%	95%	89%	74%	93%	76%	93%	95%	95%	84%	93%	94%	91%
90.3%			92%	92%	97%	96%	87%	94%	50%	97%	84%	96%	94%	96%	94%	96%	95%	90%	89%	75%	96%	96%
93.0%			93%	96%	96%	94%	84%	93%	92%	96%	93%	93%	92%	94%	92%	92%	95%	93%	92%	91%	93%	96%
69.6%			62%	70%	64%	75%	64%	74%	72%	68%	73%	79%	52%	71%	53%	79%	80%	76%	79%	52%	70%	79%
80.9%			79%	91%	84%	92%	90%	88%	74%	81%	92%	72%	84%	88%	59%	82%	77%	72%	65%	81%	84%	83%
83.8%		86%	92%	83%	90%	86%	87%	48%	86%	86%	90%	86%	86%	88%	86%	82%	80%	80%	71%	86%	86%	95%
83.8%		94%	80%	94%	94%	88%	82%	69%	86%	91%	96%	81%	81%	88%	81%	87%	78%	79%	59%	81%	81%	90%
77.6%			72%	70%	82%	90%	59%	74%	88%	74%	78%	83%	61%	78%	78%	82%	89%		90%	66%	78%	82%
83.5%		93%	89%	89%	88%	85%	78%	78%	90%	78%	94%	89%	73%	90%	81%	80%	89%	76%	85%	74%	77%	77%
86.7%			90%	90%	90%	91%	62%	90%	85%	92%	92%	92%	92%	90%	92%	82%	78%	84%	77%	88%	91%	85%
89.1%			90%	89%	91%	91%	91%	92%	79%	88%	90%	91%	92%	89%	91%	88%	87%	85%	89%	90%	90%	89%
85.8%			88%	90%	91%	86%	80%	88%	76%	85%	90%	88%	86%	84%	90%	83%	91%	88%	78%	86%	81%	88%
82.7%			91%	86%	92%	88%	72%	85%	79%	91%	85%	78%	88%	86%	67%	88%	91%	79%	76%	67%	74%	90%
87.3%			89%	90%	89%	90%	75%	88%	93%	91%	94%	91%	55%	92%	91%	87%	88%	92%	91%	76%	91%	93%
84.9%			91%	91%	91%	72%	90%	85%	82%	93%	84%	79%	92%	79%	86%	81%	88%	86%	76%	84%	85%	83%
93.7%			94%	94%	94%	94%	91%	92%	88%	95%	95%	95%	95%	97%	93%	94%	92%	92%	94%	96%	95%	94%
85.1%			69%	86%	87%	80%	91%	75%	84%	90%	91%	83%	89%	83%	82%	89%	94%	88%	92%	80%	82%	87%
89.5%			90%	88%	90%	89%	90%	90%	90%	89%	89%	90%	90%	89%	90%	90%	89%	89%	89%	90%	90%	89%
92.8%			94%	93%	94%	87%	87%	91%	86%	95%	93%	93%	95%	93%	95%	92%	94%	96%	96%	94%	94%	94%
89.7%			90%	91%	88%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	88%	90%	89%	90%	90%	87%
86.6%			92%	88%	83%	80%	80%	86%	77%	87%	85%	92%	94%	85%	92%	83%	83%	91%	88%	84%	92%	90%
74.2%			89%	89%	91%	77%	65%	75%	87%	74%	69%	87%	93%	62%	55%	65%	86%	58%	41%	63%	68%	89%
87.3%			90%	94%	98%	97%	70%	93%	94%	92%	93%	82%	79%	87%	76%	90%	96%	83%	75%	77%	81%	98%
73.6%			69%	66%	71%	63%	85%	89%	88%	74%	87%	63%	62%	92%	88%	56%	67%	77%	61%	83%	63%	68%
80.3%			88%	92%	93%	82%	84%	95%	80%	71%	89%	75%	72%	86%	73%	73%	76%	67%	67%	74%	85%	85%
82.2%			73%	87%	96%	79%	65%	92%	88%	91%	88%	86%	80%	80%	83%	67%	81%	82%	71%	86%	88%	81%
78.6%			89%	78%	80%	85%	86%	81%	84%	83%	82%	80%	72%	84%	75%	66%	78%	62%	68%	82%	78%	80%
83.8%			79%	83%	89%	97%	10%	89%	82%	98%	96%	95%	67%	92%	81%	88%	80%	97%	87%	84%	87%	94%
89.1%			95%	86%	95%	96%	85%	93%	47%	95%	90%	96%	60%	93%	96%	94%	98%	94%	95%	81%	96%	98%
93.4%			93%	96%	96%	92%	92%	95%	90%	89%	92%	93%	93%	96%	93%	95%	96%	95%	92%	92%	93%	95%
93.2%			97%	94%	95%	97%	94%	92%	89%	95%	94%	93%	93%	95%	93%	88%	94%	90%	91%	94%	94%	93%
76.3%			61%	79%	75%	85%	72%	85%	79%	72%	83%	73%	68%	86%	83%	74%	84%	81%	75%	57%	70%	85%
78.8%			80%	80%	82%	88%	69%	78%	81%	85%	73%	93%	73%	73%	73%	86%	68%	83%	80%	83%	73%	75%
75.4%			78%	76%	75%	85%	67%	71%	65%	68%	60%	71%	71%	82%	72%	87%	85%	82%	88%	74%	60%	91%
89.0%			89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	88%	89%	89%	89%
85.4%		88%	84%	83%	91%	89%	78%	79%	88%	88%	85%	87%	81%	95%	92%	89%	87%	91%	91%	73%	72%	83%
58.7%		58%	55%	67%	63%	76%	50%	65%	56%	64%	62%	52%	53%	63%	50%	54%	75%	59%	48%	55%	56%	52%
88.5%			89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	78%	89%	89%	89%
82.1%			82%	82%	85%	85%	69%	90%	78%	91%	85%	81%	80%	86%	77%	86%	83%	86%	83%	66%	86%	82%
79.1%			78%	84%	83%	76%	79%	82%	71%	83%	82%	76%	83%	67%	83%	80%	86%	68%	78%	75%	85%	84%
84.5%			89%	87%	73%	66%	92%	92%	75%	82%	87%	75%	90%	76%	93%	83%	80%	90%	94%	81%	92%	93%
81.5%			82%	96%	88%	83%	66%	75%	93%	87%	71%	88%	64%	84%	83%	88%	79%	83%	77%	82%	72%	90%
88.1%			94%	88%	88%	81%	89%	82%	80%	89%	92%	92%	92%	91%	92%	92%	94%	78%	78%	92%	92%	87%
93.7%			95%	98%	99%	94%	93%	89%	84%	96%	97%	92%	92%	94%	93%	97%	96%	87%	95%	91%	95%	97%
91.8%			92%	92%	91%	92%	85%	88%	95%	92%	92%	91%	92%	92%	93%	91%	93%	94%	92%	92%	92%	94%
79.5%		88%	70%	84%	84%	93%	71%	83%	86%	72%	81%	84%	47%	83%	82%	95%	88%	84%	86%	56%	73%	79%
79.7%		84%	82%	82%	81%	89%	68%	81%	91%	81%	82%	81%	59%	90%	72%	87%	91%	85%	81%	59%	69%	78%
76.7%			82%	88%	65%	75%	78%	69%	59%	74%	83%	86%	66%	79%	68%	78%	83%	80%	80%	75%	85%	81%
82.9%			89%	89%	86%	87%	91%	84%	77%	84%	83%	84%	77%	79%	77%	80%	88%	73%	79%	79%	88%	84%
84.8%			92%	81%	85%	78%	86%	83%	52%	77%	80%	93%	78%	94%	94%	90%	87%	93%	94%	85%	88%	87%
83.2%			83%	88%	86%	83%	80%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%
84.1%			83%	95%	80%	71%	88%	86%	83%	65%	88%	69%	92%	91%	93%	64%	85%	91%	92%	83%	94%	89%
88.8%			91%	90%	96%	94%	82%	91%	87%	85%	88%	86%	86%	88%	86%	91%	94%	89%	97%	86%	79%	91%
73.3%			68%	81%	68%	72%	71%	79%	82%	86%	77%	67%	66%	84%	81%	74%	74%	68%	68%	59%	69%	72%
82.5%			84%	84%	84%	85%	89%	74%	69%	91%	83%	83%	84%	83%	76%	78%	85%	79%	86%	85%	85%	84%
90.1%			91%	92%	93%	91%	92%	96%	89%	90%	89%	89%	89%	89%	89%	89%	87%	87%	89%	91%	90%	89%
83.5%			90%	88%	90%	81%	94%	79%	77%	75%	85%	80%	81%	84%	90%	85%	81%	85%	67%	85%	87%	87%
82.5%			87%	86%	85%	84%	87%	84%	82%	86%	83%	81%	83%	82%	82%	84%	84%	70%	70%	88%	82%	79%
91.5%			93%	94%	94%	96%	81%	90%	88%	91%	93%	86%	94%	95%	93%	94%	95%	95%	92%	85%	91%	90%
89.1%			89%	89%	89%	89%	90%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
93.9%			92%	91%	99%	92%	95%	97%	92%	98%	97%	92%	92%	92%	92%	95%	96%	94%	94%	92%	92%	93%
93.5%		85%	96%	88%	95%	85%	85%	94%	97%	97%	96%	97%	97%	92%	86%	96%	93%	97%	97%	97%	97%	97%
84.3%		91%	86%	87%	85%	72%	78%	96%	86%	83%	84%	83%	76%	88%	86%	82%	85%	82%	76%	79%	95%	91%
89.6%			85%	94%	97%	92%	91%	93%	59%	94%	80%	85%	97%	78%	97%	95%	95%	93%	93%	81%	97%	96%
79.7%			89%	80%	79%	85%	86%	74%	67%	89%	88%	87%	76%	74%	74%	74%	92%	81%	71%	67%	87%	73%
91.7%			90%	94%	92%	92%	91%	87%	80%	94%	93%	92%	96%	95%	92%	90%	90%	92%	95%	89%	96%	95%
79.1%			84%	84%	75%	80%	84%	86%	88%	86%	84%	87%	68%	89%	68%	83%	71%	80%	77%	73%	68%	66%
69.9%			73%	71%	73%	69%	64%	78%	64%	66%	76%	70%	64%	69%	60%	70%	77%	70%	56%	76%	73%	80%
83.2%			95%	82%	88%	97%	67%	79%	96%	95%	83%	79%	82%	89%	71%	90%	92%	81%	73%	71%	71%	82%
80.1%			77%	79%	80%	79%	62%	77%	73%	84%	97%	74%	86%	87%	81%	81%	82%	79%	73%	80%	93%	78%
75.9%			75%	76%	78%	81%	66%	75%	75%	82%	66%	79%	85%	82%	71%	79%	73%	77%	83%	74%	63%	78%
77.0%			72%	91%	87%	83%	75%	53%	79%	93%	77%	79%	79%	72%	76%	70%	88%	80%	79%	64%	64%	79%
75.3%		83%	87%	83%	95%	85%	74%	50%	86%	74%	64%	70%	71%	69%	71%	56%	66%	64%	77%	87%	79%	90%
82.2%		89%	80%	90%	90%	88%	77%	72%	76%	74%	84%	84%	77%	85%	77%	86%	89%	85%	83%	77%	77%	86%
61.3%			59%	62%	69%	51%	77%	75%	56%	52%	60%	60%	60%	61%	50%	65%	68%	59%	63%	56%	61%	63%
86.6%			88%	86%	87%	87%	79%	90%	86%	90%	97%	94%	79%	87%	81%	93%	81%	87%	90%	81%	81%	88%
84.2%			83%	94%	95%	68%	89%	84%	91%	91%	89%	95%	79%	81%	89%	74%	81%	71%	68%	88%	85%	88%
86.3%			85%	87%	88%	93%	76%	88%	85%	86%	86%	85%	85%	86%	85%	85%	91%	87%	82%	91%	86%	90%
89.4%			88%	91%	90%	92%	68%	92%	94%	95%	95%	88%	75%	93%	85%	90%	95%	96%	83%	97%	87%	94%
78.5%			80%	84%	82%	87%	77%	74%	69%	84%	79%	79%	89%	82%	64%	65%	88%	89%	64%	69%	87%	77%
78.0%			78%	88%	90%	51%	75%	84%	95%	92%	89%	90%	53%	92%	79%	70%	82%	73%	72%	57%	79%	70%
83.6%		94%	85%	81%	81%	85%	70%	69%	93%	75%	75%	89%	96%	78%	96%	95%	91%	90%	64%	71%	96%	82%
83.4%		86%	93%	93%	93%	86%	65%	78%	82%	83%	86%	78%	92%	77%	92%	80%	82%	80%	65%	82%	89%	89%
81.8%			85%	78%	84%	83%	55%	70%	84%	75%	92%	82%	92%	86%	81%	85%	88%	95%	93%	63%	80%	86%
86.6%		89%	85%	88%	86%	90%	90%	84%	88%	88%	89%	84%	76%	92%	85%	93%	96%	78%	81%	90%	90%	76%
82.1%			89%	79%	89%	83%	71%	85%	81%	89%	85%	90%	50%	85%	85%	86%	89%	85%	81%	70%	85%	85%
82.5%			94%	80%	80%	85%	68%	70%	80%	88%	90%	88%	76%	88%	81%	87%	90%	83%	82%	73%	76%	91%
84.5%			80%	84%	76%	96%	68%	84%	90%	90%	95%	91%	71%	94%	82%	96%	95%	83%	52%	89%	79%	96%
75.5%		63%	61%	80%	65%	91%	86%	88%	85%	82%	90%	87%	51%	85%	79%	63%	63%	66%	66%	88%	87%	60%
86.6%			88%	93%	95%	93%	70%	90%	85%	95%	91%	89%	82%	85%	84%	94%	90%	69%	78%	87%	80%	94%
84.5%			74%	89%	87%	89%	82%	73%	82%	89%	87%	79%	84%	83%	89%	80%	88%	85%	83%	89%	89%	89%
81.3%			85%	81%	81%	80%	80%	86%	69%	75%	87%	85%	85%	75%	81%	78%	87%	79%	83%	80%	87%	83%
86.0%		92%	79%	85%	90%	90%	83%	89%	91%	86%	88%	92%	86%	84%	80%	93%	86%	83%	79%	80%	79%	91%
92.2%			92%	96%	97%	94%	96%	89%	78%	95%	94%	91%	97%	94%	93%	94%	93%	85%	92%	92%	86%	96%
89.7%			92%	92%	92%	91%	80%	92%	88%	89%	92%	91%	81%	92%	86%	93%	92%	91%	91%	87%	91%	91%
81.5%			83%	81%	83%	83%	93%	82%	73%	83%	83%	83%	72%	83%	83%	83%	83%	77%	78%	86%	75%	83%