DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AgeGroup%3A46 55 Ctx - Run 9011a81...

Global Dialogues GD4 - 46-55 (with context)

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Demographic Data Analysis

AI Safety & Robustness

Social interaction

Best Models (Coverage)

1.Claude Sonnet 4.5
86.5%
2.Claude Sonnet 4
85.6%
3.GPT 4.1
85.0%
4.Gemini 2.5 Flash
84.3%
5.Claude Haiku 4.5
83.9%

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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		5th 83.9%	2nd 85.6%	1st 86.5%	4th 84.3%	12th 78.9%	7th 82.5%	6th 83.6%	3rd 85.0%	9th 81.8%	13th 78.9%	10th 80.1%	11th 79.9%	8th 82.3%
85.2%		87%	89%	85%	86%	81%	83%	87%	88%	87%	87%	78%	83%	87%
73.1%		83%	81%	85%	84%	60%	72%	80%	89%	65%	61%	61%	63%	66%
78.4%		86%	82%	89%	87%	67%	63%	83%	94%	83%	58%	85%	66%	76%
83.2%		84%	73%	88%	84%	89%	87%	72%	89%	81%	81%	86%	83%	84%
69.9%		80%	72%	74%	74%	62%	72%	73%	76%	66%	60%	70%	62%	68%
88.2%		87%	93%	91%	91%	81%	87%	90%	94%	88%	93%	84%	85%	83%
69.8%		88%	72%	88%	73%	63%	62%	65%	66%	63%	63%	60%	74%	70%
81.4%		88%	82%	83%	78%	73%	84%	91%	83%	80%	87%	75%	74%	80%
83.5%		89%	95%	91%	78%	92%	85%	77%	82%	68%	75%	84%	88%	82%
58.5%		55%	64%	53%	34%	66%	49%	58%	63%	56%	54%	64%	67%	78%
93.7%		93%	92%	97%	96%	96%	91%	96%	94%	94%	94%	90%	92%	93%
89.2%		91%	86%	89%	89%	87%	91%	91%	92%	89%	87%	89%	89%	89%
85.9%		86%	86%	86%	86%	85%	86%	86%	86%	86%	86%	86%	86%	86%
65.4%		74%	85%	77%	65%	63%	54%	58%	56%	71%	71%	53%	56%	67%
81.0%		81%	86%	88%	87%	66%	72%	87%	88%	84%	72%	68%	87%	87%
83.7%		85%	93%	88%	88%	76%	92%	74%	90%	89%	62%	89%	76%	86%
80.3%		84%	78%	83%	88%	75%	82%	80%	78%	76%	81%	84%	74%	81%
85.2%		84%	80%	86%	81%	89%	87%	90%	86%	84%	87%	84%	82%	88%
90.5%		92%	90%	91%	92%	87%	86%	92%	88%	92%	92%	92%	92%	91%
79.4%		83%	77%	87%	79%	62%	80%	78%	80%	84%	71%	86%	83%	82%
88.7%		93%	92%	93%	91%	85%	93%	91%	90%	89%	75%	81%	90%	90%
93.8%		94%	99%	97%	96%	84%	100%	97%	93%	96%	96%	96%	76%	96%
86.3%		82%	87%	91%	87%	81%	83%	93%	88%	86%	91%	86%	82%	85%
66.8%		77%	66%	81%	81%	55%	69%	72%	76%	71%	50%	56%	50%	65%
77.5%		72%	81%	75%	60%	84%	86%	78%	83%	79%	75%	76%	76%	82%
91.0%		82%	93%	88%	95%	86%	87%	95%	95%	82%	95%	95%	95%	95%
86.7%		89%	95%	87%	93%	83%	76%	96%	92%	77%	77%	87%	92%	83%
74.4%		68%	74%	80%	77%	62%	74%	75%	87%	85%	67%	73%	74%	71%
84.8%		92%	86%	89%	94%	80%	85%	82%	95%	89%	75%	81%	79%	76%
91.6%		91%	95%	93%	91%	91%	94%	93%	97%	89%	69%	96%	95%	97%
91.5%		90%	88%	89%	91%	89%	93%	91%	91%	96%	96%	93%	91%	92%
84.3%		88%	87%	86%	86%	80%	87%	86%	84%	85%	83%	83%	81%	80%
80.8%		93%	90%	90%	92%	66%	78%	88%	93%	83%	90%	72%	54%	62%
81.9%		87%	86%	88%	85%	75%	86%	79%	90%	87%	59%	79%	77%	87%
87.2%		80%	95%	91%	92%	88%	81%	94%	81%	75%	91%	87%	94%	85%
92.4%		93%	96%	90%	93%	92%	95%	91%	89%	91%	91%	91%	93%	96%
88.2%		86%	93%	97%	94%	93%	84%	91%	90%	71%	75%	87%	93%	92%
79.9%		75%	87%	90%	86%	75%	75%	81%	84%	86%	75%	75%	75%	75%
91.7%		91%	92%	93%	87%	93%	92%	94%	91%	92%	91%	91%	95%	90%
76.0%		75%	80%	83%	75%	75%	75%	75%	75%	75%	75%	75%	75%	75%
83.9%		93%	92%	74%	77%	80%	88%	79%	81%	93%	64%	93%	81%	96%
75.1%		83%	78%	85%	75%	68%	73%	73%	67%	74%	85%	66%	74%	75%
83.2%		90%	85%	96%	93%	70%	85%	90%	89%	83%	84%	59%	80%	77%
85.4%		86%	94%	91%	83%	85%	90%	85%	95%	80%	77%	90%	79%	75%
80.1%		89%	88%	83%	89%	87%	90%	71%	90%	61%	68%	73%	65%	87%
86.1%		72%	87%	92%	84%	82%	91%	93%	84%	81%	85%	89%	88%	91%
80.4%		79%	84%	81%	89%	88%	80%	79%	83%	83%	71%	77%	78%	73%
90.7%		92%	95%	99%	93%	83%	87%	81%	84%	88%	87%	94%	98%	98%
91.0%		98%	85%	96%	93%	76%	95%	98%	90%	90%	96%	90%	80%	96%
91.4%		87%	91%	93%	94%	94%	91%	95%	92%	91%	92%	92%	84%	92%
89.7%		92%	90%	90%	89%	86%	91%	88%	89%	89%	89%	89%	90%	94%
65.8%		70%	57%	91%	86%	65%	65%	61%	88%	61%	58%	50%	45%	59%
80.0%		87%	83%	86%	83%	69%	79%	78%	78%	76%	78%	78%	87%	78%
74.0%		79%	77%	77%	93%	61%	72%	71%	77%	74%	76%	78%	61%	66%
84.0%		84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%
77.3%		79%	75%	78%	77%	77%	74%	82%	80%	77%	77%	78%	77%	74%
65.5%		60%	69%	75%	86%	48%	69%	76%	70%	51%	34%	73%	58%	83%
86.0%		86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%	86%
76.6%		78%	79%	82%	82%	60%	81%	75%	83%	80%	81%	74%	61%	80%
83.7%		78%	87%	87%	76%	78%	81%	88%	86%	85%	84%	88%	82%	88%
81.7%		90%	80%	73%	67%	78%	92%	89%	88%	83%	86%	89%	84%	63%
81.9%		74%	93%	92%	77%	86%	79%	81%	82%	75%	81%	82%	89%	74%
91.8%		94%	98%	96%	83%	91%	88%	97%	92%	91%	91%	91%	91%	91%
92.1%		89%	90%	94%	95%	95%	85%	95%	94%	91%	96%	94%	90%	89%
86.6%		84%	88%	89%	87%	87%	88%	89%	89%	85%	84%	84%	87%	85%
68.8%		66%	75%	90%	89%	60%	74%	74%	74%	78%	46%	50%	48%	71%
76.4%		85%	80%	86%	90%	64%	80%	84%	85%	71%	65%	65%	68%	70%
76.6%		89%	81%	81%	77%	78%	70%	73%	76%	83%	70%	68%	72%	78%
72.5%		76%	79%	81%	78%	70%	79%	69%	77%	61%	55%	69%	71%	78%
86.2%		90%	95%	79%	59%	92%	80%	85%	79%	94%	94%	94%	91%	89%
79.5%		79%	79%	83%	79%	82%	79%	79%	79%	79%	79%	79%	79%	79%
71.2%		62%	82%	72%	50%	89%	69%	55%	63%	55%	81%	88%	66%	93%
87.5%		93%	92%	87%	81%	87%	96%	89%	84%	90%	62%	98%	91%	88%
71.3%		78%	85%	76%	74%	65%	84%	82%	75%	74%	56%	77%	43%	58%
86.4%		90%	86%	90%	86%	90%	79%	94%	85%	82%	84%	82%	86%	89%
88.2%		92%	89%	91%	84%	89%	92%	89%	85%	87%	87%	89%	84%	89%
88.9%		90%	94%	94%	89%	94%	91%	78%	91%	88%	83%	87%	87%	90%
87.5%		86%	85%	85%	89%	86%	87%	88%	88%	91%	89%	88%	88%	88%
88.2%		84%	92%	92%	93%	86%	87%	87%	93%	81%	90%	87%	86%	88%
83.9%		84%	84%	84%	84%	83%	84%	84%	84%	84%	84%	84%	84%	84%
92.2%		91%	94%	94%	91%	91%	97%	91%	95%	91%	91%	91%	91%	91%
88.2%		89%	88%	91%	88%	89%	83%	90%	91%	89%	85%	88%	87%	89%
81.8%		89%	92%	86%	82%	74%	87%	86%	88%	84%	69%	75%	73%	79%
88.4%		89%	88%	91%	90%	84%	89%	89%	84%	88%	90%	90%	87%	90%
86.0%		86%	89%	82%	85%	86%	86%	90%	86%	86%	83%	85%	85%	89%
89.7%		91%	88%	88%	89%	93%	85%	92%	91%	89%	90%	88%	92%	90%
82.4%		82%	86%	86%	84%	87%	85%	87%	84%	92%	71%	71%	78%	78%
83.8%		86%	85%	87%	85%	74%	86%	88%	83%	88%	83%	74%	86%	84%
75.8%		85%	70%	86%	85%	71%	81%	89%	90%	83%	73%	10%	77%	85%
86.8%		81%	85%	85%	85%	71%	93%	95%	93%	91%	84%	79%	93%	93%
71.8%		75%	75%	76%	68%	61%	73%	78%	70%	78%	85%	63%	70%	62%
77.0%		83%	95%	85%	90%	75%	55%	90%	76%	70%	83%	60%	60%	79%
78.3%		93%	85%	85%	85%	85%	64%	57%	67%	75%	69%	73%	95%	85%
81.8%		75%	80%	83%	87%	80%	81%	79%	88%	86%	81%	81%	81%	82%
68.2%		63%	71%	74%	64%	80%	78%	65%	66%	63%	61%	70%	59%	72%
83.1%		82%	87%	85%	82%	78%	82%	86%	94%	84%	89%	77%	77%	77%
88.6%		92%	97%	88%	88%	92%	91%	81%	86%	92%	81%	85%	87%	92%
85.5%		85%	88%	88%	88%	85%	87%	87%	87%	85%	67%	87%	90%	88%
78.0%		82%	87%	90%	88%	57%	82%	82%	88%	72%	76%	71%	62%	77%
85.3%		94%	94%	93%	95%	76%	77%	85%	86%	93%	77%	66%	86%	87%
78.8%		72%	87%	84%	88%	64%	89%	76%	90%	83%	63%	75%	83%	71%
80.0%		74%	83%	87%	82%	71%	79%	79%	77%	78%	92%	93%	72%	73%
76.9%		83%	82%	84%	79%	80%	74%	71%	64%	57%	82%	79%	83%	82%
81.1%		83%	76%	82%	88%	65%	80%	84%	92%	85%	87%	74%	82%	76%
89.3%		90%	92%	92%	88%	93%	92%	88%	90%	87%	82%	88%	89%	90%
89.6%		95%	90%	94%	95%	76%	92%	94%	94%	95%	88%	88%	69%	95%
81.9%		88%	86%	90%	78%	74%	81%	87%	92%	87%	85%	86%	73%	58%
76.8%		73%	78%	84%	86%	63%	79%	85%	89%	68%	70%	86%	77%	60%
76.2%		70%	78%	75%	82%	77%	81%	76%	82%	76%	63%	80%	74%	77%
87.0%		89%	92%	90%	91%	72%	89%	92%	96%	90%	89%	76%	84%	81%
83.7%		75%	88%	84%	92%	88%	75%	88%	81%	81%	72%	86%	91%	87%
88.9%		86%	88%	86%	89%	87%	94%	89%	89%	89%	87%	89%	91%	92%
89.5%		83%	91%	93%	87%	81%	89%	93%	94%	95%	95%	76%	95%	92%
93.3%		97%	93%	95%	93%	95%	93%	93%	95%	91%	93%	94%	91%	90%
90.5%		93%	98%	97%	99%	70%	93%	93%	93%	93%	82%	80%	93%	93%
82.6%		79%	89%	79%	79%	94%	80%	82%	79%	79%	97%	79%	79%	79%