DTeval

A Collective Intelligence Project

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Analysis: Gd4 Dtef Global Dialogues Gd4 AiConcern%3Amore Excited Than Concerned - Run ee4cacd...

Global Dialogues GD4 - More excited than concerned

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

AI Safety & Robustness

Social interaction

Demographic & Cultural Nuance

Best Models (Coverage)

1.Claude Sonnet 4.5
83.0%
2.Claude Sonnet 4
82.7%
3.Llama 4 Maverick
80.6%
4.Claude Haiku 4.5
80.2%
5.Qwen3 Next 80b A3B Instruct
80.0%

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Macro Coverage Overview

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

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	Prompts vs. Models	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o Mini	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct
Score		4th 80.2%	2nd 82.7%	1st 83.0%	11th 76.8%	8th 78.8%	3rd 80.6%	9th 78.7%	6th 79.8%	7th 79.7%	13th 74.6%	12th 74.9%	10th 78.2%	5th 80.0%
76.7%		82%	75%	79%	91%	51%	67%	78%	87%	86%	65%	77%	75%	84%
63.3%		64%	59%	70%	54%	46%	59%	64%	77%	58%	75%	64%	60%	73%
78.4%		72%	74%	77%	67%	83%	88%	78%	77%	84%	78%	79%	79%	83%
78.9%		77%	84%	85%	71%	82%	90%	77%	86%	79%	79%	73%	67%	76%
65.2%		68%	71%	79%	66%	56%	80%	64%	61%	59%	62%	58%	62%	62%
90.0%		92%	92%	88%	94%	86%	89%	89%	95%	95%	91%	87%	90%	82%
63.1%		76%	62%	63%	72%	60%	60%	50%	58%	61%	59%	62%	61%	76%
84.8%		88%	84%	83%	81%	88%	86%	83%	90%	83%	82%	85%	79%	91%
86.3%		82%	86%	86%	83%	92%	92%	82%	91%	79%	92%	85%	88%	84%
68.3%		62%	57%	56%	58%	76%	68%	53%	63%	65%	87%	73%	88%	82%
87.5%		92%	91%	91%	77%	92%	87%	83%	89%	94%	82%	83%	86%	90%
82.8%		84%	92%	90%	89%	89%	85%	89%	81%	88%	57%	59%	80%	93%
83.5%		82%	81%	80%	84%	85%	79%	84%	87%	89%	87%	88%	77%	83%
73.1%		85%	76%	71%	75%	90%	67%	70%	68%	66%	69%	66%	70%	77%
73.1%		68%	87%	80%	62%	64%	81%	73%	77%	82%	65%	71%	73%	67%
78.8%		89%	80%	82%	76%	82%	90%	76%	62%	75%	82%	79%	74%	78%
90.6%		91%	83%	87%	86%	86%	93%	96%	93%	97%	93%	95%	87%	91%
85.2%		90%	94%	81%	65%	87%	95%	77%	77%	85%	96%	81%	93%	87%
79.8%		84%	89%	82%	81%	88%	83%	83%	78%	75%	59%	75%	80%	81%
62.9%		61%	61%	66%	72%	73%	67%	55%	58%	59%	59%	55%	63%	69%
80.5%		86%	92%	76%	54%	83%	90%	73%	75%	79%	90%	77%	87%	84%
85.9%		86%	84%	96%	89%	87%	87%	94%	95%	87%	65%	87%	76%	84%
88.0%		92%	90%	89%	91%	84%	84%	88%	91%	89%	88%	86%	89%	83%
51.6%		59%	63%	65%	44%	54%	60%	51%	55%	46%	52%	37%	40%	45%
76.7%		83%	88%	91%	74%	59%	77%	77%	83%	70%	74%	73%	75%	73%
64.9%		74%	65%	76%	10%	65%	80%	69%	65%	74%	54%	63%	75%	74%
88.8%		93%	94%	89%	75%	91%	84%	92%	88%	89%	93%	87%	89%	90%
82.2%		85%	77%	90%	82%	80%	79%	82%	92%	89%	85%	77%	72%	79%
80.8%		89%	88%	91%	79%	75%	85%	79%	90%	78%	62%	78%	76%	81%
80.4%		85%	92%	92%	72%	65%	81%	70%	90%	84%	75%	73%	78%	88%
89.3%		86%	95%	93%	90%	93%	92%	90%	90%	89%	84%	75%	90%	94%
86.8%		93%	82%	82%	90%	90%	90%	89%	93%	91%	80%	82%	81%	86%
83.5%		84%	87%	92%	89%	80%	68%	93%	85%	81%	93%	76%	81%	76%
60.8%		54%	61%	71%	67%	63%	70%	71%	51%	52%	72%	39%	71%	49%
82.4%		75%	92%	91%	90%	90%	78%	86%	79%	67%	72%	75%	87%	89%
88.6%		93%	93%	93%	89%	79%	83%	90%	90%	90%	90%	81%	90%	91%
77.8%		67%	92%	91%	69%	93%	82%	71%	78%	77%	72%	67%	75%	78%
76.4%		81%	81%	81%	84%	84%	79%	72%	83%	81%	66%	64%	56%	81%
89.8%		91%	93%	91%	91%	91%	88%	93%	90%	87%	84%	80%	94%	94%
71.2%		59%	79%	79%	70%	77%	63%	60%	89%	74%	62%	65%	81%	68%
84.7%		92%	85%	92%	80%	80%	94%	96%	74%	92%	82%	61%	82%	91%
86.0%		90%	94%	88%	92%	93%	89%	89%	91%	91%	56%	90%	65%	90%
83.0%		87%	71%	80%	93%	70%	76%	84%	90%	90%	92%	81%	82%	83%
67.4%		61%	71%	56%	51%	70%	92%	74%	71%	72%	60%	62%	77%	59%
81.3%		80%	87%	87%	86%	86%	91%	80%	79%	84%	73%	72%	76%	76%
79.2%		77%	81%	81%	68%	75%	77%	90%	70%	88%	76%	71%	88%	88%
76.9%		77%	78%	76%	84%	70%	88%	76%	75%	76%	75%	76%	77%	72%
87.2%		84%	99%	99%	99%	77%	81%	87%	84%	84%	98%	79%	84%	79%
87.6%		93%	88%	91%	92%	86%	87%	96%	97%	90%	62%	84%	77%	96%
80.1%		80%	87%	87%	85%	88%	89%	85%	78%	69%	63%	68%	85%	77%
81.2%		78%	99%	84%	84%	87%	89%	87%	91%	75%	48%	66%	84%	83%
68.5%		66%	69%	78%	63%	67%	67%	67%	78%	71%	70%	65%	65%	64%
70.5%		72%	63%	65%	86%	65%	46%	76%	76%	81%	57%	79%	73%	78%
57.0%		52%	47%	48%	59%	74%	67%	56%	50%	43%	78%	42%	75%	50%
87.4%		83%	97%	97%	88%	89%	89%	87%	81%	82%	89%	76%	89%	89%
84.6%		85%	86%	86%	85%	81%	67%	92%	91%	87%	81%	92%	76%	91%
65.5%		64%	64%	64%	74%	61%	88%	69%	76%	69%	62%	59%	50%	51%
87.1%		85%	86%	86%	83%	92%	84%	90%	88%	91%	87%	87%	84%	89%
61.0%		67%	62%	64%	87%	49%	71%	59%	46%	51%	67%	42%	59%	69%
70.9%		71%	83%	79%	56%	83%	79%	71%	65%	65%	68%	65%	72%	65%
87.6%		89%	91%	90%	67%	94%	93%	77%	88%	95%	88%	85%	90%	92%
78.2%		84%	87%	88%	83%	53%	75%	76%	89%	85%	71%	75%	70%	81%
81.9%		97%	83%	83%	81%	93%	89%	89%	83%	76%	71%	75%	80%	65%
85.5%		94%	93%	93%	68%	92%	91%	86%	85%	88%	77%	81%	84%	79%
90.4%		88%	88%	89%	91%	87%	85%	92%	92%	98%	92%	93%	95%	85%
91.2%		92%	95%	97%	91%	88%	93%	93%	91%	89%	86%	92%	83%	95%
86.2%		96%	80%	94%	91%	72%	76%	85%	94%	91%	87%	88%	78%	88%
79.1%		84%	80%	77%	77%	76%	73%	75%	77%	88%	70%	76%	83%	92%
82.0%		87%	87%	85%	84%	78%	69%	85%	86%	80%	85%	81%	78%	81%
90.3%		88%	93%	85%	95%	88%	83%	92%	87%	95%	90%	94%	88%	96%
75.8%		74%	83%	84%	68%	82%	85%	65%	80%	71%	73%	75%	75%	71%
81.2%		88%	87%	81%	73%	86%	88%	69%	79%	80%	74%	80%	84%	86%
84.8%		81%	95%	81%	60%	92%	94%	89%	77%	88%	82%	88%	88%	88%
69.5%		64%	76%	87%	71%	68%	78%	77%	78%	62%	67%	60%	58%	58%
78.4%		81%	85%	86%	85%	84%	83%	73%	76%	74%	69%	69%	82%	72%
75.2%		76%	79%	69%	71%	82%	88%	73%	67%	76%	66%	69%	78%	84%
80.0%		79%	96%	84%	69%	90%	88%	77%	67%	76%	80%	79%	75%	80%
84.8%		87%	89%	95%	71%	77%	91%	80%	90%	90%	86%	75%	83%	88%
86.3%		85%	88%	87%	75%	92%	90%	85%	93%	85%	87%	85%	85%	85%
82.9%		80%	89%	89%	83%	86%	82%	82%	77%	78%	83%	76%	85%	88%
87.4%		91%	85%	82%	79%	85%	87%	89%	90%	97%	91%	78%	91%	91%
79.8%		88%	89%	91%	80%	90%	83%	82%	72%	69%	57%	70%	83%	84%
76.2%		80%	78%	81%	66%	83%	82%	69%	77%	76%	66%	74%	78%	80%
84.6%		82%	78%	90%	90%	88%	84%	95%	93%	84%	65%	79%	82%	90%
82.2%		94%	94%	79%	76%	86%	86%	83%	73%	76%	74%	80%	84%	83%
85.0%		87%	92%	92%	76%	92%	84%	87%	84%	88%	77%	79%	88%	79%
63.9%		56%	74%	71%	45%	65%	64%	76%	53%	59%	60%	58%	74%	76%
73.2%		78%	84%	80%	58%	72%	73%	73%	71%	71%	76%	65%	77%	74%
62.2%		52%	87%	71%	94%	60%	58%	64%	51%	51%	51%	40%	57%	73%
81.9%		81%	92%	79%	81%	73%	73%	80%	84%	88%	86%	77%	90%	81%
82.8%		87%	78%	76%	90%	74%	76%	88%	92%	87%	80%	85%	80%	83%
57.2%		44%	70%	80%	72%	58%	52%	54%	54%	49%	43%	58%	57%	52%
72.4%		77%	68%	73%	81%	59%	52%	62%	73%	80%	69%	86%	82%	79%
84.5%		89%	89%	91%	74%	86%	92%	84%	89%	82%	77%	80%	84%	82%
63.3%		65%	74%	76%	54%	70%	69%	58%	53%	55%	59%	60%	65%	65%
87.6%		92%	94%	94%	89%	93%	88%	84%	87%	92%	73%	85%	76%	92%
75.8%		74%	89%	93%	63%	74%	77%	69%	88%	80%	64%	72%	63%	79%
84.2%		81%	86%	81%	69%	93%	94%	88%	79%	90%	77%	85%	91%	81%
83.3%		86%	79%	93%	92%	61%	86%	73%	91%	94%	79%	82%	75%	92%
69.1%		74%	80%	80%	50%	70%	73%	63%	69%	67%	61%	63%	80%	68%
78.2%		78%	84%	85%	72%	78%	78%	73%	82%	81%	77%	78%	77%	73%
86.8%		91%	88%	85%	90%	84%	71%	94%	95%	89%	78%	91%	85%	87%
63.5%		70%	59%	71%	83%	57%	54%	56%	59%	69%	49%	57%	71%	71%
85.5%		85%	83%	84%	87%	83%	74%	81%	89%	98%	84%	85%	87%	92%
83.2%		88%	88%	84%	86%	88%	86%	88%	80%	79%	67%	80%	72%	96%
86.2%		79%	88%	89%	94%	76%	88%	93%	87%	99%	59%	98%	75%	95%
86.6%		96%	94%	96%	79%	68%	83%	97%	95%	79%	80%	92%	84%	83%
68.9%		53%	59%	73%	60%	57%	77%	63%	76%	87%	76%	73%	69%	73%
85.8%		85%	85%	87%	88%	89%	91%	86%	88%	91%	80%	79%	84%	83%
85.6%		89%	74%	88%	93%	89%	79%	84%	90%	92%	84%	82%	83%	86%
79.6%		70%	95%	94%	75%	78%	84%	77%	72%	73%	76%	80%	71%	90%
87.1%		88%	86%	86%	75%	88%	92%	89%	87%	92%	87%	93%	83%	86%
76.2%		79%	71%	84%	73%	68%	73%	72%	64%	84%	83%	79%	84%	76%
84.6%		93%	93%	93%	66%	92%	92%	76%	86%	87%	80%	79%	86%	77%
87.2%		82%	94%	95%	93%	88%	95%	91%	92%	89%	76%	71%	90%	78%
73.4%		76%	90%	76%	67%	85%	83%	64%	72%	67%	67%	71%	75%	61%