DTeval

A Collective Intelligence Project

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Analysis: Gd4 Dtef Global Dialogues Gd4 AiConcern%3Amore Concerned Than Excited - Run 7c236d5...

Global Dialogues GD4 - More concerned than excited

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

AI Safety & Robustness

Social interaction

Economics & Finance

Child Safety & Protection

Best Models (Coverage)

1.GPT 4.1
80.2%
2.Claude Sonnet 4.5
78.9%
3.Claude Sonnet 4
78.9%
4.GPT 4.1 Mini
78.1%
5.Mistral Medium 3
77.4%

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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 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		6th 77.4%	3rd 78.9%	2nd 78.9%	7th 77.0%	12th 72.3%	8th 76.7%	5th 77.4%	1st 80.2%	4th 78.1%	13th 67.8%	11th 72.8%	10th 73.3%	9th 74.2%
69.6%		80%	75%	79%	56%	45%	79%	74%	74%	70%	85%	59%	73%	56%
64.7%		62%	58%	64%	86%	45%	55%	69%	87%	75%	35%	77%	57%	71%
80.3%		87%	86%	85%	73%	80%	81%	79%	87%	74%	78%	76%	78%	80%
77.6%		78%	84%	81%	79%	82%	71%	77%	83%	82%	61%	73%	79%	79%
74.0%		78%	81%	84%	76%	68%	72%	74%	80%	74%	59%	73%	66%	77%
74.8%		77%	78%	74%	75%	77%	75%	75%	79%	76%	71%	65%	76%	75%
67.5%		86%	72%	78%	62%	58%	78%	57%	53%	73%	38%	77%	73%	73%
79.2%		77%	93%	94%	84%	82%	66%	61%	92%	60%	64%	82%	87%	87%
71.2%		81%	41%	65%	59%	82%	85%	73%	65%	89%	90%	54%	67%	74%
67.2%		78%	67%	63%	64%	77%	84%	75%	81%	81%	46%	64%	48%	46%
68.5%		66%	70%	61%	67%	69%	65%	70%	72%	77%	64%	65%	76%	68%
87.9%		91%	83%	92%	90%	85%	82%	88%	92%	92%	75%	86%	93%	94%
86.9%		87%	94%	94%	77%	91%	87%	97%	94%	85%	74%	90%	86%	74%
55.3%		58%	63%	72%	61%	55%	52%	51%	48%	50%	49%	50%	51%	59%
60.4%		65%	65%	58%	41%	58%	67%	64%	77%	68%	59%	51%	57%	55%
81.3%		85%	82%	86%	88%	65%	76%	87%	95%	84%	72%	85%	67%	85%
83.2%		81%	85%	86%	88%	68%	87%	85%	85%	82%	86%	85%	82%	82%
85.2%		94%	90%	82%	76%	88%	91%	87%	84%	91%	54%	88%	90%	93%
84.2%		88%	84%	79%	89%	73%	86%	88%	86%	92%	63%	92%	88%	86%
59.1%		58%	57%	67%	62%	53%	62%	51%	63%	60%		71%	53%	52%
73.4%		76%	76%	76%	0%	85%	85%	83%	82%	86%	53%	82%	85%	85%
83.2%		86%	93%	84%	76%	95%	97%	92%	75%	80%	69%	77%	79%	79%
79.2%		80%	80%	74%	77%	79%	76%	83%	83%	81%	77%	83%	80%	76%
53.0%		53%	63%	63%	68%	35%	49%	58%	63%	55%	43%	46%	40%	53%
74.5%		78%	76%	79%	67%	85%	80%	70%	77%	68%	82%	61%	68%	77%
68.1%		64%	64%	64%	75%	61%	87%	67%	56%	75%	59%	64%	75%	74%
90.3%		94%	91%	91%	73%	89%	94%	92%	97%	95%	77%	95%	94%	92%
82.4%		87%	86%	83%	73%	73%	85%	90%	92%	85%	71%	92%	77%	77%
74.4%		75%	81%	80%	82%	58%	79%	77%	78%	76%	75%	70%	73%	63%
81.6%		84%	80%	75%	78%	72%	84%	89%	86%	86%	89%	74%	89%	75%
76.7%		80%	80%	70%	73%	80%	73%	78%	82%	84%	69%	72%	74%	82%
79.0%		86%	92%	76%	73%	70%	67%	80%	89%	73%	62%	82%	88%	89%
67.4%		72%	76%	78%	65%	71%	90%	66%	68%	63%	90%	53%	42%	42%
66.4%		60%	65%	69%	81%	51%	67%	77%	77%	66%	58%	69%	55%	68%
77.3%		87%	64%	64%	81%	72%	68%	69%	77%	81%	88%	86%	84%	84%
73.5%		79%	76%	65%	69%	76%	69%	73%	81%	87%	64%	66%	69%	81%
74.5%		69%	80%	85%	78%	82%	57%	63%	84%	62%	53%	88%	83%	85%
74.4%		74%	76%	86%	89%	76%	75%	67%	86%	81%	59%	59%	55%	84%
69.0%		74%	60%	59%	64%	71%	62%	72%	75%	83%	62%	62%	75%	78%
66.8%		62%	62%	74%	63%	77%	58%	57%	71%	72%	56%	66%	77%	73%
83.6%		94%	83%	88%	83%	63%	94%	97%	90%	93%	70%	83%	66%	83%
79.8%		82%	85%	89%	78%	86%	93%	85%	93%	74%	66%	66%	70%	70%
79.4%		85%	79%	85%	68%	81%	80%	82%	76%	83%	78%	78%	82%	75%
66.9%		69%	70%	62%	74%	58%	70%	62%	80%	72%	78%	64%	60%	51%
81.9%		90%	89%	88%	86%	83%	79%	78%	88%	96%	66%	67%	73%	82%
82.3%		75%	79%	81%	78%	88%	89%	85%	83%	87%	86%	76%	79%	84%
83.5%		86%	83%	79%	94%	84%	83%	88%	89%	91%	71%	80%	87%	71%
92.2%		93%	97%	97%	94%	90%	98%	90%	90%	98%	77%	96%	80%	98%
81.5%		81%	79%	80%	78%	92%	95%	89%	78%	83%	79%	64%	82%	80%
82.3%		88%	96%	96%	77%	70%	91%	87%	87%	87%	66%	76%	74%	75%
78.7%		85%	81%	80%	78%	69%	85%	80%	74%	83%	76%	85%	73%	74%
52.5%		51%	57%	61%	54%	51%	51%	53%	68%	47%	56%	41%	49%	44%
73.0%		80%	82%	83%	68%	53%	78%	81%	73%	72%	87%	54%	76%	62%
59.8%		57%	57%	56%	85%	52%	49%	62%	67%	69%	40%	63%	54%	66%
88.9%		91%	92%	90%	80%	86%	93%	93%	95%	93%	67%	94%	90%	92%
75.7%		74%	88%	89%	81%	58%	77%	74%	86%	76%	90%	62%	65%	64%
61.4%		59%	68%	68%	75%	38%	71%	56%	82%	59%	66%	56%	49%	51%
82.4%		88%	79%	78%	85%	83%	73%	83%	80%	89%	70%	88%	93%	82%
70.8%		72%	70%	79%	82%	53%	65%	74%	86%	75%	60%	72%	59%	73%
80.0%		65%	86%	87%	91%	81%	73%	76%	84%	91%	65%	90%	76%	75%
77.7%		84%	85%	91%	85%	72%	87%	85%	85%	81%	81%	45%	65%	64%
80.9%		85%	85%	85%	77%	64%	81%	90%	90%	80%	85%	70%	86%	74%
84.0%		78%	91%	98%	98%	80%	83%	91%	97%	95%	62%	77%	66%	76%
65.8%		60%	67%	60%	61%	67%	64%	64%	70%	70%	63%	70%	66%	73%
80.8%		84%	81%	74%	77%	81%	78%	84%	84%	87%	77%	77%	89%	77%
75.8%		69%	89%	89%	89%	69%	90%	79%	85%	61%	78%	70%	53%	64%
64.7%		74%	76%	78%	76%	44%	71%	71%	68%	56%	75%	56%	44%	52%
67.5%		70%	72%	72%	74%	60%	65%	66%	75%	72%	43%	66%	68%	75%
71.5%		77%	70%	69%	70%	75%	74%	72%	74%	70%	78%	65%	67%	69%
91.8%		95%	94%	95%	90%	91%	96%	96%	88%	92%	75%	92%	95%	95%
85.8%		83%	93%	82%	96%	93%	83%	86%	90%	85%	63%	91%	85%	86%
71.8%		62%	73%	86%	79%	74%	80%	87%	79%	71%	84%	59%	56%	44%
85.0%		90%	96%	96%	83%	70%	82%	83%	89%	83%	94%	82%	74%	83%
53.9%		53%	62%	72%	55%	53%	56%	58%	72%	51%	38%	46%	44%	41%
69.7%		58%	78%	71%	79%	68%	63%	67%	79%	78%	56%	58%	75%	76%
89.3%		89%	97%	93%	91%	85%	93%	91%	88%	90%	80%	87%	86%	91%
81.0%		83%	84%	87%	84%	84%	77%	77%	87%	87%	71%	71%	75%	86%
84.1%		94%	90%	91%	76%	67%	90%	89%	93%	89%	82%	75%	85%	72%
72.5%		68%	69%	68%	71%	72%	72%	72%	78%	82%	71%	71%	74%	74%
83.4%		82%	84%	84%	79%	89%	84%	86%	86%	91%	58%	85%	90%	86%
87.6%		82%	96%	87%	91%	96%	91%	97%	86%	81%	80%	89%	83%	80%
88.4%		88%	88%	87%	91%	87%	80%	85%	90%	90%	89%	89%	92%	93%
77.5%		85%	89%	78%	82%	78%	87%	85%	86%	74%	73%	69%	56%	66%
85.1%		88%	87%	90%	78%	87%	90%	91%	88%	87%	75%	75%	85%	85%
82.5%		86%	86%	83%	74%	78%	89%	86%	88%	86%	83%	80%	71%	82%
71.5%		62%	76%	62%	76%	71%	67%	71%	77%	85%	62%	71%	72%	78%
73.6%		72%	75%	75%	81%	82%	71%	67%	64%	69%	48%	85%	85%	83%
81.5%		79%	70%	69%	90%	88%	74%	75%	86%	81%	76%	91%	91%	89%
77.7%		70%	85%	77%	94%	92%	71%	73%	79%	67%	67%	69%	82%	84%
84.7%		98%	98%	92%	87%	76%	96%	82%	79%	93%	63%	71%	85%	81%
79.2%		94%	74%	75%	62%	79%	89%	79%	69%	79%	86%	81%	85%	77%
58.0%		40%	79%	77%	56%	51%	43%	65%	74%	47%	42%	50%	54%	76%
72.5%		76%	74%	74%	68%	62%	82%	70%	70%	74%	69%	73%	77%	73%
85.3%		82%	82%	81%	82%	81%	80%	89%	89%	94%	80%	85%	93%	91%
62.2%		57%	63%	65%	79%	62%	57%	64%	68%	65%	52%	52%	55%	69%
84.4%		93%	95%	93%	81%	84%	65%	85%	92%	88%	73%	89%	83%	76%
84.2%		93%	85%	87%	89%	90%	84%	87%	89%	82%	78%	83%	69%	79%
87.8%		89%	93%	93%	93%	78%	88%	94%	92%	85%	80%	76%	90%	91%
72.5%		79%	76%	82%	87%	49%	71%	72%	89%	82%	31%	80%	62%	82%
69.5%		70%	70%	69%	81%	62%	54%	65%	79%	80%	41%	68%	82%	82%
63.4%		59%	76%	76%	67%	60%	65%	68%	83%	61%	65%	63%	38%	43%
82.2%		89%	87%	85%	69%	77%	87%	87%	87%	82%	74%	81%	82%	81%
67.5%		77%	66%	66%	71%	57%	73%	58%	54%	74%	65%	65%	81%	71%
75.2%		72%	74%	71%	86%	78%	83%	79%	78%	77%	55%	74%	76%	74%
78.4%		80%	74%	73%	82%	79%	78%	82%	82%	86%	59%	81%	83%	80%
81.4%		92%	86%	83%	81%	79%	85%	88%	79%	77%	90%	64%	80%	74%
64.6%		82%	62%	88%	84%	54%	67%	90%	49%	56%	75%	37%	49%	47%
59.3%		53%	53%	62%	77%	41%	53%	65%	76%	74%	29%	68%	56%	64%
78.3%		82%	80%	81%	78%	81%	87%	79%	82%	81%	58%	74%	77%	78%
80.1%		86%	89%	87%	79%	86%	82%	81%	80%	85%	75%	80%	77%	54%
76.5%		71%	88%	84%	89%	71%	57%	79%	80%	62%	68%	88%	76%	82%
80.2%		92%	87%	87%	89%	63%	86%	80%	78%	75%	91%	83%	67%	65%
70.1%		67%	80%	80%	66%	58%	81%	68%	65%	75%	61%	70%	81%	59%
68.3%		62%	76%	73%	70%	72%	67%	68%	75%	72%	62%	63%	67%	61%
81.3%		69%	83%	90%	92%	86%	83%	89%	90%	83%	64%	64%	83%	81%
78.8%		79%	82%	74%	88%	81%	72%	79%	72%	88%	55%	82%	94%	79%