DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AgeGroup%3A56 65 Ctx - Run b040d88...

Global Dialogues GD4 - 56-65 (with context)

DTEF: Predict response distributions for 56-65. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Social interaction

AI Safety & Robustness

Best Models (Coverage)

1.Claude Sonnet 4.5
81.4%
2.Claude Sonnet 4
81.2%
3.GPT 4.1
80.8%
4.Mistral Medium 3
80.3%
5.Gemini 2.5 Flash
79.7%

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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 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 79.0%	2nd 81.2%	1st 81.4%	5th 79.7%	11th 73.7%	7th 78.1%	4th 80.3%	3rd 80.8%	8th 77.7%	13th 72.5%	10th 75.7%	12th 73.4%	9th 76.9%
67.5%		59%	74%	76%	74%	57%	69%	76%	74%	58%	46%	66%	71%	78%
79.3%		86%	82%	93%	87%	66%	79%	84%	87%	86%	65%	77%	65%	74%
75.1%		91%	84%	81%	89%	74%	64%	81%	83%	79%	47%	82%	51%	70%
81.5%		92%	81%	92%	71%	86%	78%	69%	80%	78%	92%	84%	89%	67%
71.6%		80%	80%	77%	73%	61%	77%	70%	71%	70%	63%	65%	73%	71%
86.0%		83%	94%	89%	86%	90%	85%	85%	90%	84%	84%	82%	83%	83%
74.3%		85%	75%	89%	72%	64%	69%	78%	74%	72%	72%	72%	72%	72%
80.9%		89%	78%	74%	78%	73%	85%	83%	87%	80%	84%	82%	83%	76%
75.1%		74%	90%	86%	42%	90%	80%	76%	66%	62%	76%	75%	77%	82%
70.0%		67%	69%	65%	55%	74%	67%	88%	70%	50%	75%	77%	77%	76%
87.7%		90%	89%	92%	90%	89%	82%	92%	89%	85%	84%	90%	81%	87%
82.5%		74%	81%	78%	85%	84%	82%	83%	85%	85%	77%	85%	84%	89%
66.2%		66%	66%	66%	66%	68%	66%	66%	66%	66%	66%	66%	66%	66%
63.2%		70%	84%	71%	71%	64%	60%	53%	53%	68%	73%	48%	53%	54%
71.1%		66%	83%	80%	79%	65%	65%	74%	66%	78%	60%	76%	64%	68%
79.7%		87%	88%	85%	85%	67%	84%	84%	81%	86%	81%	84%	48%	76%
81.4%		86%	85%	90%	89%	63%	86%	88%	79%	78%	83%	78%	75%	78%
83.7%		83%	82%	85%	84%	79%	81%	87%	86%	85%	84%	84%	84%	84%
86.7%		88%	91%	88%	89%	87%	86%	89%	87%	84%	84%	80%	88%	86%
74.8%		76%	71%	76%	75%	69%	80%	78%	81%	70%	71%	79%	78%	69%
80.4%		72%	72%	78%	83%	84%	76%	84%	81%	86%	82%	79%	84%	84%
90.2%		91%	92%	92%	90%	75%	93%	90%	92%	93%	93%	93%	85%	93%
81.8%		81%	83%	80%	82%	89%	82%	85%	83%	84%	73%	82%	81%	79%
68.5%		77%	79%	83%	73%	47%	76%	77%	71%	73%	53%	61%	51%	69%
69.7%		65%	68%	61%	72%	76%	86%	65%	78%	71%	56%	66%	67%	75%
90.3%		76%	90%	79%	95%	94%	82%	95%	93%	95%	90%	95%	95%	95%
73.7%		59%	72%	72%	81%	85%	66%	78%	79%	59%	77%	80%	78%	72%
59.6%		42%	60%	64%	64%	56%	63%	62%	65%	58%	56%	57%	64%	64%
82.2%		89%	85%	88%	80%	72%	81%	88%	93%	93%	78%	76%	72%	73%
83.1%		69%	88%	80%	85%	74%	84%	92%	91%	81%	67%	85%	93%	91%
93.0%		92%	97%	97%	96%	93%	90%	91%	96%	89%	89%	91%	95%	93%
82.0%		83%	86%	89%	90%	91%	70%	89%	88%	81%	62%	75%	89%	73%
68.1%		81%	79%	80%	86%	55%	63%	78%	84%	55%	68%	57%	45%	54%
68.5%		67%	79%	83%	85%	50%	76%	79%	83%	76%	38%	78%	33%	64%
86.1%		82%	95%	82%	83%	83%	81%	87%	87%	88%	85%	89%	89%	88%
89.0%		87%	85%	87%	89%	88%	89%	93%	83%	93%	93%	93%	88%	89%
85.3%		90%	89%	90%	86%	83%	81%	84%	93%	80%	77%	90%	84%	82%
70.6%		81%	88%	96%	88%	46%	46%	88%	88%	93%	59%	46%	53%	46%
86.2%		87%	89%	84%	78%	87%	87%	84%	81%	84%	82%	94%	94%	89%
50.4%		46%	66%	82%	46%	46%	46%	46%	47%	46%	46%	46%	46%	46%
75.6%		83%	80%	71%	71%	74%	82%	83%	71%	80%	63%	82%	58%	85%
80.1%		86%	79%	86%	89%	72%	79%	82%	67%	83%	85%	75%	78%	80%
71.5%		76%	76%	72%	75%	51%	72%	79%	78%	72%	80%	68%	64%	67%
65.7%		67%	75%	73%	69%	63%	72%	63%	77%	56%	58%	68%	57%	56%
83.9%		85%	92%	78%	89%	90%	93%	73%	86%	65%	68%	86%	93%	93%
83.0%		81%	88%	90%	80%	66%	91%	92%	89%	80%	69%	78%	85%	90%
82.5%		84%	88%	81%	93%	82%	80%	84%	90%	80%	75%	81%	74%	80%
86.8%		88%	91%	91%	85%	80%	88%	82%	77%	87%	84%	89%	97%	89%
87.1%		93%	75%	96%	92%	69%	91%	93%	82%	93%	90%	93%	72%	93%
85.7%		84%	83%	90%	84%	84%	96%	81%	88%	84%	84%	84%	85%	87%
89.4%		91%	87%	89%	94%	89%	85%	90%	90%	92%	88%	89%	89%	89%
62.2%		67%	75%	72%	70%	51%	67%	69%	83%	65%	48%	43%	42%	56%
77.8%		80%	79%	86%	76%	60%	83%	80%	77%	77%	79%	75%	80%	79%
70.8%		78%	75%	75%	97%	61%	68%	73%	78%	62%	70%	69%	61%	53%
89.8%		90%	90%	90%	90%	88%	90%	90%	90%	90%	90%	90%	90%	90%
80.8%		84%	86%	92%	79%	79%	74%	84%	82%	82%	79%	74%	76%	79%
56.5%		75%	54%	56%	83%	41%	57%	56%	66%	45%	26%	67%	45%	63%
66.9%		66%	66%	66%	66%	73%	66%	71%	66%	66%	66%	66%	66%	66%
77.6%		82%	81%	96%	89%	54%	82%	83%	85%	82%	71%	79%	37%	88%
83.8%		82%	79%	79%	87%	84%	83%	87%	85%	87%	85%	85%	85%	81%
74.8%		80%	71%	73%	65%	75%	77%	75%	86%	76%	72%	78%	76%	68%
68.8%		56%	91%	73%	69%	67%	70%	85%	70%	60%	56%	55%	83%	59%
81.4%		80%	85%	86%	81%	78%	87%	82%	89%	78%	78%	78%	78%	78%
84.6%		89%	87%	87%	92%	93%	89%	90%	92%	83%	72%	72%	72%	82%
81.8%		80%	82%	79%	86%	88%	81%	83%	82%	77%	84%	79%	82%	80%
72.3%		70%	92%	92%	77%	65%	75%	89%	81%	81%	44%	52%	46%	76%
69.1%		75%	67%	71%	87%	62%	74%	73%	83%	73%	56%	63%	54%	60%
71.8%		76%	80%	66%	68%	77%	72%	63%	66%	79%	68%	73%	67%	79%
64.8%		60%	70%	51%	76%	66%	79%	68%	84%	60%	46%	56%	56%	71%
87.7%		90%	85%	87%	77%	92%	90%	85%	88%	76%	88%	98%	89%	95%
77.5%		76%	78%	86%	76%	84%	75%	76%	76%	76%	76%	76%	76%	76%
69.4%		69%	69%	80%	35%	93%	76%	49%	70%	52%	69%	88%	74%	78%
69.0%		65%	78%	78%	68%	63%	69%	73%	77%	71%	39%	71%	73%	72%
64.1%		79%	80%	80%	77%	41%	51%	76%	70%	73%	49%	52%	38%	67%
78.9%		80%	82%	84%	73%	79%	75%	77%	78%	82%	73%	85%	81%	77%
90.9%		90%	89%	86%	94%	84%	87%	95%	93%	93%	93%	93%	92%	93%
75.4%		81%	83%	75%	70%	79%	65%	71%	77%	74%	62%	87%	75%	81%
82.2%		73%	89%	81%	81%	84%	84%	84%	80%	87%	79%	80%	84%	83%
88.5%		88%	93%	95%	95%	92%	86%	91%	92%	87%	93%	75%	75%	88%
89.8%		90%	90%	90%	90%	87%	90%	90%	90%	90%	90%	90%	90%	90%
79.9%		78%	76%	82%	78%	78%	85%	86%	86%	78%	78%	78%	78%	78%
86.8%		93%	88%	89%	92%	76%	89%	93%	88%	85%	83%	77%	90%	85%
71.2%		75%	76%	76%	63%	63%	80%	78%	71%	84%	56%	71%	63%	70%
90.7%		95%	93%	93%	92%	74%	92%	94%	85%	95%	93%	93%	87%	93%
75.6%		83%	72%	65%	73%	74%	76%	78%	78%	77%	75%	78%	75%	79%
86.5%		90%	83%	82%	85%	87%	86%	86%	85%	92%	84%	88%	89%	88%
82.3%		87%	85%	89%	91%	71%	88%	86%	86%	91%	74%	74%	74%	74%
66.2%		77%	64%	66%	64%	56%	64%	67%	63%	73%	77%	52%	70%	68%
78.7%		83%	75%	85%	81%	60%	85%	78%	85%	75%	74%	79%	79%	84%
79.8%		81%	84%	84%	81%	80%	87%	86%	90%	84%	71%	54%	80%	76%
67.1%		72%	71%	70%	79%	64%	74%	68%	66%	78%	51%	62%	60%	57%
79.4%		90%	86%	91%	89%	74%	84%	92%	92%	74%	75%	60%	60%	65%
73.1%		83%	78%	83%	71%	82%	61%	69%	69%	75%	54%	73%	75%	77%
84.1%		78%	79%	87%	87%	84%	81%	87%	89%	85%	84%	84%	84%	84%
58.1%		63%	63%	63%	49%	66%	64%	49%	55%	58%	49%	57%	70%	49%
77.5%		71%	78%	74%	76%	77%	78%	81%	88%	88%	81%	75%	69%	72%
86.5%		93%	89%	92%	88%	79%	93%	83%	90%	83%	72%	86%	83%	93%
81.3%		81%	87%	85%	86%	80%	82%	81%	83%	78%	67%	80%	86%	81%
77.5%		83%	87%	85%	91%	57%	85%	76%	86%	73%	63%	76%	68%	78%
74.3%		75%	84%	78%	79%	67%	77%	75%	78%	83%	69%	67%	67%	67%
63.9%		64%	81%	60%	74%	51%	70%	73%	73%	70%	52%	53%	48%	62%
68.8%		67%	65%	68%	71%	76%	67%	71%	68%	72%	67%	61%	72%	69%
72.8%		80%	80%	83%	78%	78%	66%	63%	72%	67%	76%	52%	76%	76%
75.4%		70%	68%	78%	80%	65%	73%	78%	85%	81%	80%	73%	75%	74%
84.2%		79%	83%	81%	83%	91%	82%	87%	85%	81%	86%	87%	82%	87%
89.7%		89%	88%	87%	92%	71%	93%	91%	94%	95%	93%	96%	82%	95%
70.2%		78%	75%	75%	80%	52%	57%	85%	80%	80%	66%	67%	51%	67%
79.2%		75%	81%	88%	90%	63%	88%	93%	89%	74%	71%	86%	64%	68%
86.7%		82%	90%	86%	80%	86%	93%	90%	90%	83%	72%	89%	94%	92%
72.5%		73%	73%	83%	83%	54%	68%	76%	79%	76%	81%	68%	62%	66%
76.2%		78%	75%	79%	79%	77%	83%	78%	77%	75%	67%	74%	75%	74%
84.7%		86%	88%	88%	74%	93%	78%	86%	84%	85%	87%	83%	81%	88%
87.4%		81%	93%	88%	67%	82%	86%	91%	91%	94%	90%	85%	95%	93%
87.3%		90%	90%	93%	87%	90%	93%	94%	87%	77%	88%	77%	77%	92%
85.8%		85%	95%	95%	85%	86%	85%	98%	85%	85%	87%	86%	59%	85%
78.2%		76%	85%	84%	76%	85%	77%	76%	76%	76%	77%	76%	76%	76%