DTeval

A Collective Intelligence Project

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Analysis: Gd4 C5 Dtef Global Dialogues Gd4 AgeGroup%3A36 45 C5 - Run 9d83e8f...

Global Dialogues GD4 - 36-45 (5 context Qs)

DTEF: Predict response distributions for 36-45. 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

Best Models (Coverage)

1.GPT 4.1
82.8%
2.GPT 4.1 Mini
82.7%
3.Claude Haiku 4.5
82.2%
4.Gemini 2.5 Flash
81.7%
5.Claude Sonnet 4.5
81.6%

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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		3rd 82.2%	8th 80.1%	5th 81.6%	4th 81.7%	12th 76.8%	6th 80.6%	7th 80.4%	1st 82.8%	2nd 82.7%	13th 75.7%	9th 79.7%	10th 78.7%	11th 78.6%
65.1%		69%	73%	77%	72%	51%	58%	62%	60%	66%	62%	60%	75%	61%
65.3%		61%	68%	75%	84%	36%	60%	72%	89%	74%	59%	65%	50%	56%
87.2%		88%	86%	94%	91%	85%	91%	86%	82%	94%	81%	83%	80%	92%
82.9%		87%	80%	87%	83%	85%	85%	79%	85%	81%	81%	80%	83%	82%
62.2%		69%	72%	72%	65%	45%	71%	73%	69%	59%	21%	62%	62%	69%
80.1%		82%	75%	81%	89%	77%	81%	76%	87%	89%	78%	86%	83%	57%
76.0%		98%	78%	84%	86%	71%	79%	69%	70%	78%	69%	69%	68%	69%
78.5%		85%	71%	54%	77%	79%	83%	84%	64%	88%	81%	88%	87%	79%
84.8%		85%	82%	79%	82%	89%	93%	80%	84%	84%	80%	90%	83%	92%
82.9%		83%	88%	88%	88%	85%	77%	65%	75%	82%	91%	88%	87%	81%
81.8%		82%	78%	81%	86%	80%	79%	80%	83%	78%	86%	88%	83%	80%
86.8%		93%	81%	91%	93%	94%	78%	92%	90%	92%	67%	83%	87%	87%
81.8%		87%	79%	81%	86%	84%	80%	84%	84%	84%	66%	82%	86%	81%
65.3%		71%	71%	71%	57%	68%	67%	59%	57%	59%	72%	56%	71%	70%
65.9%		64%	70%	71%	55%	66%	70%	69%	69%	70%	52%	65%	64%	72%
83.0%		83%	96%	96%	93%	74%	87%	96%	96%	88%	57%	69%	70%	74%
88.9%		92%	86%	91%	94%	96%	89%	91%	85%	93%	77%	82%	87%	93%
83.6%		84%	82%	81%	87%	79%	86%	81%	76%	91%	70%	89%	91%	90%
87.6%		86%	81%	80%	92%	90%	86%	87%	88%	93%	83%	90%	91%	92%
78.8%		84%	72%	72%	83%	70%	80%	78%	81%	81%	82%	86%	80%	75%
86.4%		93%	86%	85%	89%	79%	94%	78%	78%	87%	77%	95%	92%	90%
89.7%		92%	86%	88%	82%	89%	81%	91%	92%	92%	93%	93%	94%	93%
69.1%		67%	70%	74%	85%	68%	67%	78%	82%	68%	69%	76%	55%	39%
74.0%		96%	92%	92%	93%	57%	81%	81%	80%	63%	56%	52%	50%	69%
83.8%		82%	83%	82%	73%	89%	86%	81%	84%	89%	86%	84%	84%	87%
85.5%		92%	84%	85%	82%	90%	84%	80%	85%	81%	87%	85%	91%	86%
82.4%		72%	81%	76%	85%	89%	81%	86%	77%	91%	70%	88%	86%	89%
80.3%		87%	78%	80%	82%	68%	82%	91%	83%	86%	84%	77%	73%	73%
89.7%		94%	90%	93%	95%	82%	96%	94%	92%	88%	91%	85%	76%	90%
81.7%		88%	93%	88%	91%	69%	77%	75%	82%	84%	74%	75%	81%	85%
79.9%		80%	76%	83%	81%	80%	82%	79%	90%	78%	82%	86%	82%	60%
78.4%		77%	55%	58%	77%	90%	82%	79%	72%	88%	90%	86%	91%	74%
73.7%		77%	75%	81%	89%	62%	72%	87%	78%	80%	73%	59%	65%	60%
72.8%		70%	78%	87%	97%	64%	72%	79%	85%	73%	64%	62%	51%	65%
81.1%		74%	63%	63%	73%	83%	87%	85%	83%	91%	86%	89%	86%	91%
79.6%		83%	76%	82%	88%	74%	77%	81%	84%	81%	78%	87%	79%	65%
84.7%		94%	64%	64%	77%	87%	89%	86%	88%	92%	87%	87%	95%	91%
83.8%		91%	84%	88%	88%	81%	78%	80%	85%	79%	86%	75%	86%	88%
78.9%		78%	79%	77%	85%	79%	79%	79%	84%	78%	77%	86%	80%	65%
79.3%		75%	74%	74%	83%	84%	67%	79%	75%	81%	85%	79%	86%	89%
85.5%		92%	95%	92%	83%	73%	90%	86%	92%	94%	67%	84%	69%	94%
81.4%		87%	88%	89%	70%	87%	79%	82%	75%	77%	77%	78%	85%	84%
67.3%		69%	63%	66%	62%	56%	63%	69%	75%	70%	79%	62%	70%	71%
75.9%		72%	83%	88%	78%	70%	85%	81%	82%	64%	78%	67%	69%	70%
83.3%		85%	91%	90%	84%	88%	86%	78%	88%	80%	75%	76%	80%	82%
87.5%		73%	90%	88%	87%	82%	94%	90%	94%	90%	77%	85%	90%	97%
82.1%		98%	92%	83%	91%	63%	87%	80%	85%	80%	74%	81%	75%	78%
84.3%		92%	88%	92%	78%	76%	85%	75%	88%	82%	78%	95%	92%	75%
88.5%		98%	87%	86%	77%	87%	85%	84%	90%	97%	94%	81%	90%	94%
87.3%		88%	90%	90%	91%	86%	89%	89%	92%	87%	80%	86%	83%	84%
84.9%		93%	80%	88%	83%	85%	86%	85%	86%	89%	68%	87%	85%	89%
70.0%		68%	70%	83%	86%	65%	64%	79%	78%	66%	56%	70%	62%	63%
75.8%		88%	75%	79%	87%	61%	64%	74%	78%	85%	67%	74%	83%	71%
66.5%		71%	67%	62%	86%	56%	62%	84%	67%	68%	64%	60%	58%	60%
81.9%		73%	83%	83%	69%	84%	77%	86%	85%	86%	86%	86%	90%	77%
80.0%		85%	75%	83%	83%	76%	85%	88%	83%	86%	67%	75%	72%	82%
59.7%		54%	79%	71%	68%	48%	63%	62%	74%	57%	47%	62%	41%	50%
89.4%		90%	85%	85%	88%	91%	83%	90%	91%	96%	89%	94%	92%	88%
64.2%		58%	76%	78%	90%	47%	69%	69%	82%	66%	49%	53%	42%	56%
85.6%		85%	89%	90%	92%	95%	92%	72%	84%	82%	83%	81%	85%	83%
83.5%		87%	89%	94%	85%	71%	87%	90%	86%	88%	69%	82%	76%	82%
69.4%		75%	69%	79%	71%	51%	66%	70%	75%	62%	73%	66%	78%	67%
87.9%		91%	91%	91%	84%	89%	87%	87%	94%	89%	78%	80%	96%	86%
81.0%		84%	80%	80%	85%	87%	79%	76%	83%	78%	85%	87%	79%	70%
74.5%		71%	75%	74%	87%	71%	76%	73%	82%	76%	77%	79%	78%	50%
89.5%		97%	91%	97%	89%	84%	96%	84%	99%	99%	78%	85%	73%	91%
80.5%		86%	79%	85%	94%	64%	82%	86%	85%	86%	86%	67%	74%	73%
82.1%		86%	86%	79%	81%	83%	84%	87%	75%	83%	64%	80%	89%	90%
77.8%		80%	81%	82%	78%	73%	82%	80%	85%	73%	74%	76%	69%	79%
85.5%		87%	85%	76%	65%	91%	87%	79%	78%	99%	94%	92%	87%	91%
88.9%		94%	92%	97%	87%	94%	91%	68%	95%	86%	88%	85%	87%	92%
83.2%		91%	85%	76%	77%	94%	86%	64%	89%	90%	82%	85%	82%	80%
85.6%		96%	92%	91%	76%	78%	81%	85%	85%	95%	89%	87%	82%	76%
77.0%		79%	90%	92%	93%	58%	70%	90%	93%	71%	64%	70%	61%	70%
82.4%		81%	86%	83%	82%	89%	85%	75%	87%	84%	80%	83%	82%	74%
81.5%		78%	85%	85%	56%	93%	88%	79%	65%	78%	88%	88%	88%	88%
86.5%		87%	89%	89%	88%	84%	86%	84%	88%	86%	78%	88%	89%	89%
80.5%		82%	70%	82%	87%	68%	82%	79%	81%	88%	71%	80%	89%	87%
80.2%		82%	74%	78%	88%	84%	75%	76%	81%	84%	81%	83%	79%	77%
82.5%		77%	88%	87%	69%	85%	81%	83%	83%	86%	80%	86%	87%	80%
87.5%		88%	80%	85%	88%	81%	80%	89%	88%	96%	95%	95%	82%	91%
87.6%		92%	81%	86%	92%	85%	94%	91%	89%	94%	72%	93%	85%	85%
79.7%		85%	80%	81%	59%	87%	83%	73%	83%	85%	75%	79%	83%	83%
88.4%		84%	78%	91%	88%	86%	83%	89%	96%	94%	89%	93%	87%	91%
80.5%		62%	83%	89%	83%	80%	88%	80%	85%	84%	74%	83%	81%	74%
77.1%		78%	75%	78%	80%	83%	75%	74%	80%	74%	76%	81%	78%	70%
77.9%		83%	83%	79%	75%	80%	84%	75%	69%	81%	68%	76%	79%	81%
75.5%		76%	71%	76%	80%	75%	72%	69%	72%	79%	76%	77%	78%	80%
80.3%		88%	86%	86%	90%	68%	80%	86%	83%	78%	52%	67%	90%	90%
82.2%		90%	87%	81%	81%	73%	84%	74%	84%	90%	75%	82%	88%	80%
73.4%		67%	68%	68%	81%	72%	72%	82%	77%	77%	76%	70%	71%	73%
74.5%		83%	65%	74%	88%	59%	60%	90%	91%	89%	67%	67%	64%	72%
78.0%		91%	69%	84%	50%	82%	68%	80%	81%	76%	83%	93%	78%	79%
87.5%		94%	85%	86%	94%	74%	96%	92%	87%	90%	89%	88%	75%	88%
72.4%		76%	77%	71%	72%	81%	77%	64%	66%	66%	70%	70%	74%	77%
77.9%		79%	63%	74%	71%	83%	83%	80%	83%	81%	82%	85%	86%	63%
83.2%		76%	88%	88%	67%	84%	88%	66%	84%	88%	90%	89%	90%	83%
84.2%		79%	82%	84%	59%	89%	94%	78%	74%	83%	94%	90%	93%	95%
75.8%		83%	92%	91%	92%	49%	77%	82%	95%	89%	41%	66%	58%	71%
81.3%		84%	89%	88%	82%	79%	81%	69%	90%	87%	63%	72%	82%	91%
72.3%		69%	84%	79%	58%	77%	73%	79%	78%	73%	63%	80%	58%	69%
78.4%		81%	74%	85%	81%	74%	79%	84%	72%	89%	60%	78%	82%	80%
87.8%		90%	88%	94%	91%	91%	78%	81%	86%	77%	95%	89%	94%	88%
72.8%		71%	66%	71%	77%	59%	68%	69%	83%	82%	74%	82%	73%	72%
83.6%		85%	74%	76%	83%	85%	87%	86%	83%	90%	82%	91%	76%	89%
82.6%		70%	70%	79%	80%	75%	92%	87%	87%	92%	80%	85%	83%	94%
73.0%		91%	69%	24%	80%	60%	76%	91%	91%	87%	69%	69%	66%	76%
65.6%		63%	66%	73%	82%	46%	67%	77%	85%	72%	39%	62%	55%	66%
79.7%		81%	84%	81%	85%	84%	86%	78%	79%	83%	66%	78%	76%	75%
74.5%		79%	65%	81%	67%	75%	64%	89%	84%	84%	81%	67%	71%	61%
86.0%		73%	77%	79%	80%	89%	90%	90%	92%	87%	87%	93%	93%	88%
82.8%		84%	83%	86%	91%	72%	79%	87%	88%	90%	88%	92%	74%	63%
85.0%		82%	91%	88%	92%	81%	85%	87%	89%	88%	78%	82%	82%	80%
82.8%		88%	74%	81%	88%	83%	82%	79%	86%	89%	85%	89%	82%	71%
91.2%		95%	91%	98%	93%	81%	98%	90%	98%	90%	93%	81%	82%	95%
85.7%		86%	95%	87%	84%	87%	88%	79%	79%	86%	85%	83%	88%	87%