DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 AgeGroup%3A56 65 C10 - Run be9d012...

Global Dialogues GD4 - 56-65 (10 context Qs)

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

Efficiency & Succinctness

Social interaction

AI Safety & Robustness

Best Models (Coverage)

1.Claude Sonnet 4.5
80.6%
2.Claude Sonnet 4
80.0%
3.GPT 4.1
79.8%
4.Claude Haiku 4.5
79.6%
5.Mistral Medium 3
79.5%

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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		4th 79.6%	2nd 80.0%	1st 80.6%	9th 75.8%	13th 72.9%	7th 78.2%	5th 79.5%	3rd 79.8%	6th 78.8%	11th 73.6%	8th 75.9%	12th 73.4%	10th 75.1%
58.2%		64%	60%	68%	68%	41%	53%	64%	58%	52%	56%	54%	65%	53%
70.2%		72%	74%	84%	79%	48%	65%	73%	84%	67%	62%	68%	70%	67%
78.3%		80%	83%	84%	75%	78%	82%	78%	84%	82%	76%	72%	71%	73%
79.5%		79%	83%	83%	74%	80%	77%	79%	80%	79%	79%	79%	78%	84%
65.0%		70%	69%	67%	64%	53%	66%	71%	68%	65%	56%	62%	62%	72%
77.0%		84%	77%	83%	91%	85%	74%	81%	84%	77%	75%	90%	49%	51%
75.5%		81%	82%	82%	79%	73%	78%	75%	74%	72%	72%	68%	72%	73%
76.4%		62%	64%	57%	82%	80%	84%	73%	81%	85%	81%	81%	80%	83%
78.8%		76%	81%	85%	69%	83%	85%	71%	84%	78%	78%	76%	72%	86%
73.3%		69%	64%	66%	51%	75%	74%	77%	68%	61%	84%	86%	95%	83%
82.4%		87%	81%	86%	81%	87%	86%	82%	85%	81%	78%	78%	78%	81%
78.1%		82%	82%	85%	79%	79%	76%	75%	78%	79%	75%	73%	73%	79%
65.3%		70%	57%	68%	68%	69%	60%	72%	68%	57%	72%	69%	59%	60%
61.8%		70%	74%	71%	63%	54%	68%	60%	53%	55%	54%	54%	56%	71%
62.9%		49%	65%	62%	36%	62%	57%	67%	73%	74%	68%	76%	64%	65%
74.3%		78%	82%	87%	74%	61%	77%	78%	83%	82%	62%	69%	60%	73%
83.2%		84%	80%	84%	95%	86%	85%	86%	79%	86%	72%	78%	81%	86%
82.3%		80%	84%	84%	82%	81%	84%	89%	83%	87%	70%	72%	87%	87%
84.8%		87%	91%	89%	88%	84%	83%	84%	88%	86%	86%	78%	75%	83%
73.5%		78%	69%	72%	75%	64%	80%	71%	76%	71%	83%	79%	71%	66%
82.2%		82%	73%	80%	78%	84%	79%	91%	88%	88%	74%	73%	91%	88%
86.2%		86%	90%	87%	86%	81%	91%	91%	89%	89%	85%	84%	78%	84%
70.8%		75%	72%	76%	86%	77%	72%	83%	79%	63%	79%	79%	41%	38%
70.4%		83%	83%	77%	72%	51%	85%	81%	73%	61%	54%	59%	61%	75%
75.0%		72%	71%	82%	74%	81%	84%	72%	79%	76%	66%	66%	73%	79%
92.0%		95%	90%	92%	95%	80%	89%	89%	91%	95%	95%	95%	95%	95%
79.4%		75%	80%	74%	82%	77%	79%	82%	79%	83%	79%	79%	82%	81%
66.1%		73%	65%	69%	67%	50%	68%	73%	75%	63%	67%	59%	66%	64%
84.0%		85%	94%	94%	88%	77%	89%	86%	87%	90%	77%	69%	76%	80%
82.2%		89%	92%	92%	92%	63%	79%	84%	84%	82%	76%	78%	78%	80%
81.9%		85%	84%	89%	87%	84%	80%	84%	93%	82%	94%	89%	62%	52%
80.0%		77%	83%	80%	76%	69%	83%	80%	86%	86%	82%	75%	80%	83%
60.7%		74%	60%	76%	83%	57%	55%	56%	66%	64%	49%	56%	48%	45%
65.1%		62%	70%	81%	82%	49%	67%	76%	78%	73%	35%	61%	49%	63%
82.0%		77%	88%	62%	85%	83%	78%	87%	85%	78%	86%	81%	90%	86%
82.4%		89%	86%	85%	84%	88%	83%	89%	91%	85%	73%	77%	77%	64%
77.2%		73%	79%	67%	82%	76%	64%	71%	76%	84%	84%	83%	82%	82%
79.5%		88%	79%	83%	97%	65%	70%	78%	75%	84%	54%	85%	86%	89%
80.6%		85%	86%	86%	86%	81%	83%	85%	89%	85%	85%	72%	66%	59%
74.5%		73%	70%	74%	76%	75%	79%	76%	74%	74%	78%	69%	73%	78%
76.9%		81%	83%	79%	59%	74%	81%	80%	69%	84%	67%	82%	75%	86%
85.8%		89%	85%	88%	85%	86%	89%	87%	78%	89%	91%	82%	84%	83%
62.0%		69%	62%	64%	64%	55%	60%	63%	63%	63%	65%	61%	60%	57%
69.3%		70%	74%	80%	66%	59%	75%	69%	76%	59%	67%	71%	67%	68%
85.6%		91%	82%	82%	78%	86%	82%	90%	82%	87%	91%	91%	94%	77%
85.1%		81%	90%	94%	85%	72%	89%	87%	89%	93%	67%	82%	88%	89%
84.1%		96%	89%	78%	96%	72%	89%	85%	93%	83%	77%	81%	79%	75%
81.2%		82%	87%	82%	74%	69%	87%	82%	82%	82%	84%	89%	82%	74%
82.1%		88%	86%	82%	46%	75%	96%	87%	86%	90%	88%	83%	75%	85%
82.3%		82%	90%	90%	81%	79%	88%	80%	82%	82%	85%	73%	76%	82%
90.3%		93%	93%	93%	93%	88%	90%	89%	88%	90%	91%	90%	87%	89%
62.6%		73%	76%	84%	44%	49%	83%	84%	75%	54%	44%	53%	50%	45%
72.1%		83%	81%	81%	91%	57%	67%	76%	67%	58%	59%	64%	79%	74%
70.5%		74%	71%	75%	80%	59%	71%	81%	75%	85%	54%	55%	61%	75%
76.6%		80%	80%	80%	59%	75%	77%	84%	79%	78%	93%	77%	68%	66%
82.2%		82%	91%	94%	76%	75%	80%	86%	84%	81%	79%	80%	78%	83%
60.8%		56%	71%	62%	85%	41%	60%	71%	73%	67%	45%	58%	48%	54%
82.8%		91%	81%	83%	81%	84%	78%	88%	78%	78%	84%	85%	85%	80%
67.6%		72%	78%	78%	79%	47%	66%	70%	82%	72%	47%	67%	50%	71%
80.7%		84%	83%	86%	82%	78%	85%	78%	82%	81%	67%	79%	82%	82%
77.2%		83%	82%	84%	73%	67%	81%	77%	79%	83%	65%	75%	77%	77%
70.0%		76%	78%	74%	71%	55%	68%	77%	76%	57%	72%	63%	73%	70%
86.1%		91%	90%	90%	79%	85%	88%	81%	86%	86%	80%	84%	91%	88%
83.3%		81%	76%	84%	92%	92%	82%	88%	87%	79%	79%	79%	88%	76%
71.6%		76%	75%	77%	76%	79%	76%	76%	75%	75%	64%	78%	54%	50%
82.0%		83%	92%	93%	58%	72%	87%	77%	87%	86%	77%	83%	80%	91%
74.1%		87%	78%	83%	81%	65%	82%	81%	70%	74%	61%	63%	65%	73%
65.9%		82%	76%	69%	54%	78%	70%	70%	62%	79%	67%	71%	0%	79%
73.5%		69%	74%	78%	79%	75%	73%	75%	84%	82%	59%	71%	64%	73%
83.8%		90%	80%	76%	71%	92%	82%	82%	73%	94%	89%	82%	89%	89%
79.6%		79%	81%	84%	71%	85%	79%	76%	87%	83%	77%	79%	74%	80%
79.2%		90%	85%	68%	35%	92%	87%	80%	81%	83%	83%	85%	83%	78%
72.8%		75%	77%	85%	89%	68%	61%	77%	86%	70%	53%	69%	73%	64%
63.9%		61%	72%	70%	82%	49%	53%	80%	71%	72%	50%	61%	47%	63%
76.5%		78%	88%	84%	56%	76%	82%	76%	82%	82%	76%	76%	69%	69%
80.3%		84%	85%	84%	64%	84%	84%	80%	79%	84%	81%	78%	79%	78%
77.8%		77%	84%	84%	79%	80%	80%	78%	82%	80%	64%	73%	77%	73%
81.4%		88%	86%	86%	90%	69%	83%	82%	86%	82%	69%	78%	76%	83%
82.5%		87%	77%	87%	81%	83%	80%	81%	86%	81%	88%	77%	81%	84%
80.7%		86%	86%	85%	75%	81%	81%	87%	81%	81%	85%	81%	73%	67%
84.3%		86%	81%	78%	84%	75%	84%	85%	81%	89%	91%	89%	79%	94%
87.2%		89%	93%	96%	93%	90%	77%	79%	85%	91%	81%	92%	82%	86%
76.5%		78%	74%	74%	57%	82%	81%	74%	80%	85%	82%	82%	70%	75%
88.8%		94%	88%	88%	93%	84%	88%	90%	93%	90%	90%	86%	85%	85%
77.2%		83%	82%	72%	80%	75%	81%	77%	77%	78%	76%	76%	75%	71%
80.4%		84%	85%	88%	64%	79%	83%	82%	83%	82%	82%	79%	77%	77%
79.2%		82%	83%	79%	67%	72%	81%	76%	75%	84%	67%	84%	92%	88%
70.0%		73%	68%	65%	68%	77%	67%	65%	76%	73%	67%	74%	70%	67%
79.2%		83%	89%	88%	82%	73%	80%	85%	76%	73%	64%	69%	82%	85%
84.5%		89%	94%	95%	91%	76%	88%	78%	82%	88%	66%	73%	95%	83%
68.9%		68%	67%	68%	70%	62%	74%	70%	60%	66%	86%	70%	68%	67%
73.2%		68%	70%	83%	58%	57%	83%	84%	90%	93%	67%	62%	69%	67%
72.4%		83%	73%	77%	49%	76%	69%	69%	65%	68%	77%	79%	75%	81%
87.2%		92%	97%	97%	84%	80%	88%	88%	92%	89%	92%	80%	74%	80%
65.2%		63%	69%	69%	62%	67%	69%	64%	69%	66%	57%	58%	66%	69%
75.5%		72%	71%	71%	76%	82%	67%	80%	76%	71%	89%	89%	83%	55%
87.3%		83%	96%	93%	64%	94%	78%	78%	92%	94%	92%	94%	91%	86%
87.6%		87%	91%	86%	52%	88%	93%	96%	91%	90%	94%	93%	87%	91%
75.1%		76%	82%	88%	69%	52%	81%	74%	88%	88%	61%	82%	68%	67%
74.1%		69%	82%	82%	77%	66%	71%	73%	77%	79%	54%	75%	78%	80%
60.8%		59%	78%	72%	34%	61%	59%	70%	71%	61%	52%	65%	47%	61%
74.8%		77%	74%	74%	74%	76%	74%	76%	75%	76%	76%	77%	74%	69%
72.7%		76%	76%	80%	76%	77%	66%	76%	58%	65%	76%	66%	76%	77%
73.5%		73%	69%	69%	79%	65%	74%	80%	76%	77%	79%	74%	68%	72%
81.8%		84%	89%	85%	83%	74%	81%	81%	83%	82%	87%	79%	75%	81%
84.8%		87%	68%	78%	91%	73%	90%	95%	90%	85%	92%	89%	80%	84%
73.1%		81%	79%	79%	80%	46%	70%	90%	81%	79%	58%	65%	71%	71%
75.3%		75%	82%	88%	83%	49%	74%	80%	93%	78%	58%	84%	64%	71%
88.1%		91%	92%	90%	90%	91%	94%	89%	90%	94%	63%	83%	84%	94%
67.8%		72%	71%	73%	74%	61%	64%	68%	72%	70%	60%	76%	59%	61%
77.4%		77%	69%	67%	66%	85%	91%	80%	79%	84%	79%	80%	77%	72%
82.0%		87%	85%	83%	89%	83%	80%	86%	77%	83%	89%	84%	76%	64%
90.0%		81%	91%	98%	93%	85%	94%	89%	97%	86%	95%	85%	89%	87%
87.1%		90%	91%	89%	70%	91%	87%	92%	93%	88%	96%	82%	94%	69%
87.1%		96%	94%	89%	93%	74%	95%	98%	81%	93%	64%	90%	74%	91%
86.5%		87%	88%	91%	89%	84%	88%	88%	83%	89%	78%	83%	87%	90%