DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AgeGroup%3A26 35 Ctx - Run a84eed6...

Global Dialogues GD4 - 26-35 (with context)

DTEF: Predict response distributions for 26-35. 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
86.8%
2.Claude Sonnet 4
86.6%
3.GPT 4.1
86.0%
4.Gemini 2.5 Flash
85.8%
5.Mistral Medium 3
85.3%

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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 85.3%	2nd 86.6%	1st 86.8%	4th 85.8%	11th 80.4%	9th 83.0%	5th 85.3%	3rd 86.0%	8th 83.4%	13th 77.9%	10th 81.9%	12th 79.4%	7th 83.6%
85.6%		79%	88%	86%	90%	85%	84%	86%	87%	87%	85%	86%	87%	83%
75.3%		94%	81%	90%	91%	64%	73%	81%	93%	72%	59%	59%	59%	63%
77.8%		87%	83%	82%	86%	77%	63%	78%	87%	88%	61%	84%	69%	66%
87.0%		91%	80%	85%	90%	90%	88%	88%	94%	81%	85%	86%	86%	87%
77.5%		81%	90%	82%	84%	71%	79%	81%	82%	75%	67%	70%	67%	79%
89.0%		86%	91%	93%	93%	86%	83%	93%	92%	88%	86%	90%	87%	89%
65.3%		86%	75%	84%	70%	56%	54%	68%	62%	54%	54%	57%	62%	67%
84.4%		89%	82%	86%	88%	79%	87%	87%	83%	88%	81%	86%	82%	79%
84.4%		93%	94%	94%	75%	89%	86%	78%	90%	73%	68%	90%	80%	87%
68.8%		64%	74%	74%	58%	80%	65%	86%	68%	58%	54%	69%	63%	82%
92.3%		82%	96%	97%	95%	92%	95%	92%	98%	93%	93%	90%	84%	93%
90.7%		81%	93%	95%	92%	92%	90%	91%	93%	87%	88%	93%	92%	92%
83.8%		84%	84%	84%	84%	82%	84%	84%	84%	84%	84%	84%	84%	84%
65.9%		71%	88%	71%	67%	74%	54%	58%	57%	71%	65%	61%	62%	58%
80.6%		82%	82%	67%	73%	88%	81%	89%	83%	73%	81%	72%	88%	89%
85.0%		95%	95%	90%	92%	81%	95%	76%	92%	95%	50%	85%	63%	96%
85.8%		91%	91%	91%	91%	76%	87%	92%	78%	83%	89%	92%	76%	79%
87.5%		81%	74%	81%	92%	91%	86%	89%	88%	87%	91%	91%	92%	95%
91.8%		92%	93%	95%	90%	89%	90%	90%	91%	92%	92%	95%	92%	93%
76.3%		82%	74%	78%	77%	68%	80%	75%	78%	76%	61%	86%	81%	76%
93.0%		92%	93%	98%	97%	90%	94%	96%	94%	94%	86%	89%	93%	93%
93.4%		95%	95%	97%	97%	88%	94%	93%	84%	97%	97%	97%	83%	97%
94.8%		91%	96%	98%	95%	90%	92%	95%	95%	95%	94%	96%	98%	97%
68.5%		86%	68%	69%	80%	58%	73%	66%	75%	82%	57%	55%	53%	68%
85.2%		78%	92%	88%	80%	87%	90%	82%	88%	89%	79%	81%	80%	93%
88.5%		95%	89%	86%	90%	92%	77%	90%	81%	90%	90%	90%	90%	90%
87.8%		91%	92%	95%	91%	85%	84%	96%	92%	69%	87%	83%	80%	96%
75.5%		59%	77%	81%	76%	73%	71%	76%	87%	77%	79%	75%	76%	75%
81.5%		81%	88%	88%	87%	80%	76%	79%	91%	88%	73%	80%	73%	76%
89.3%		86%	89%	89%	96%	87%	93%	96%	96%	98%	65%	90%	80%	96%
92.6%		95%	90%	92%	91%	95%	93%	90%	93%	95%	94%	92%	91%	93%
89.8%		94%	94%	88%	87%	88%	86%	96%	94%	87%	87%	86%	86%	94%
78.9%		83%	92%	92%	89%	67%	81%	89%	88%	80%	83%	63%	49%	70%
81.5%		87%	89%	96%	94%	68%	87%	96%	93%	86%	45%	85%	44%	89%
87.2%		88%	88%	90%	91%	89%	83%	93%	92%	81%	79%	87%	86%	87%
95.0%		95%	96%	94%	94%	96%	93%	95%	97%	95%	94%	94%	97%	95%
88.7%		88%	90%	92%	92%	90%	81%	93%	89%	72%	92%	89%	92%	93%
84.1%		91%	90%	91%	90%	90%	10%	90%	90%	91%	90%	90%	90%	90%
92.6%		93%	95%	95%	90%	93%	93%	91%	92%	91%	93%	93%	93%	92%
89.9%		90%	94%	86%	90%	90%	90%	89%	90%	90%	90%	90%	90%	90%
84.6%		95%	91%	82%	87%	76%	92%	96%	89%	93%	48%	89%	65%	97%
85.2%		92%	82%	96%	89%	74%	82%	80%	81%	92%	97%	81%	87%	75%
86.8%		94%	90%	91%	95%	73%	86%	95%	92%	82%	88%	73%	84%	86%
77.6%		83%	86%	72%	70%	81%	83%	82%	87%	66%	71%	84%	80%	64%
80.5%		91%	88%	82%	90%	85%	92%	63%	91%	63%	56%	89%	67%	90%
80.3%		77%	84%	85%	77%	71%	93%	72%	85%	81%	70%	80%	84%	85%
81.2%		87%	75%	69%	78%	90%	78%	84%	82%	87%	78%	85%	84%	79%
92.8%		83%	90%	96%	98%	92%	96%	91%	92%	93%	94%	95%	99%	88%
92.2%		94%	85%	96%	97%	90%	93%	93%	87%	94%	97%	94%	81%	97%
94.7%		92%	97%	98%	97%	97%	95%	95%	97%	94%	92%	91%	92%	94%
92.6%		96%	90%	96%	95%	93%	91%	90%	93%	92%	92%	92%	92%	92%
73.2%		76%	77%	88%	90%	62%	69%	77%	80%	82%	64%	58%	62%	67%
77.6%		76%	84%	84%	92%	74%	77%	75%	76%	75%	73%	73%	77%	73%
66.1%		73%	70%	72%	70%	62%	66%	65%	75%	63%	69%	64%	51%	59%
90.8%		91%	91%	91%	91%	88%	91%	91%	91%	91%	91%	91%	91%	91%
83.0%		86%	82%	87%	92%	80%	79%	87%	86%	81%	80%	79%	78%	82%
61.9%		58%	71%	59%	73%	44%	74%	67%	75%	53%	47%	76%	46%	62%
84.0%		84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%	84%
80.5%		92%	86%	90%	94%	64%	92%	81%	91%	85%	54%	73%	51%	94%
84.3%		83%	87%	91%	65%	79%	90%	89%	87%	81%	89%	89%	70%	96%
83.7%		88%	90%	84%	75%	88%	81%	80%	75%	76%	84%	92%	84%	91%
78.3%		67%	86%	85%	75%	72%	86%	96%	79%	74%	68%	79%	79%	72%
86.2%		90%	91%	93%	80%	79%	90%	91%	92%	83%	83%	83%	83%	83%
90.6%		82%	94%	95%	93%	95%	87%	93%	93%	86%	93%	89%	86%	92%
91.8%		91%	93%	95%	93%	88%	89%	95%	92%	90%	92%	92%	91%	92%
76.0%		73%	88%	85%	96%	58%	89%	83%	81%	87%	49%	58%	58%	83%
70.7%		74%	74%	71%	84%	65%	79%	74%	78%	75%	60%	58%	61%	66%
79.0%		89%	85%	83%	84%	77%	69%	79%	80%	86%	68%	75%	66%	86%
82.4%		82%	80%	88%	87%	87%	77%	81%	91%	80%	78%	78%	77%	85%
83.0%		94%	79%	78%	71%	90%	68%	85%	71%	99%	86%	89%	83%	86%
77.1%		76%	76%	80%	76%	86%	76%	76%	76%	76%	76%	76%	76%	76%
81.4%		85%	87%	90%	58%	88%	79%	66%	90%	65%	88%	86%	86%	90%
84.4%		87%	90%	92%	85%	76%	86%	83%	86%	81%	66%	85%	97%	83%
77.1%		80%	83%	82%	89%	74%	84%	88%	75%	80%	64%	69%	54%	80%
85.2%		87%	89%	84%	84%	87%	84%	91%	84%	81%	82%	85%	81%	88%
88.2%		87%	94%	98%	84%	92%	96%	85%	84%	86%	86%	82%	83%	90%
85.2%		86%	85%	89%	93%	92%	78%	87%	81%	76%	67%	88%	92%	94%
86.2%		87%	88%	89%	89%	86%	89%	94%	88%	91%	63%	86%	86%	85%
88.5%		81%	91%	92%	91%	86%	88%	94%	94%	85%	90%	81%	87%	91%
91.0%		91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
87.5%		83%	91%	94%	95%	83%	94%	88%	94%	83%	83%	83%	83%	83%
91.2%		94%	94%	94%	94%	83%	93%	98%	91%	92%	84%	84%	92%	92%
82.3%		87%	91%	85%	77%	79%	87%	87%	84%	81%	70%	81%	77%	84%
90.2%		90%	93%	93%	88%	87%	94%	91%	77%	87%	94%	94%	90%	94%
85.4%		94%	85%	78%	85%	80%	80%	87%	89%	79%	90%	91%	81%	91%
92.2%		92%	93%	91%	86%	92%	92%	93%	94%	93%	93%	93%	94%	93%
78.8%		88%	87%	74%	88%	83%	87%	85%	82%	86%	67%	66%	66%	66%
80.5%		88%	81%	81%	85%	68%	77%	73%	79%	85%	92%	77%	87%	73%
78.5%		96%	86%	90%	90%	60%	73%	86%	78%	77%	82%	67%	67%	68%
82.6%		81%	82%	82%	82%	65%	77%	88%	91%	79%	82%	84%	86%	95%
71.5%		68%	75%	75%	87%	72%	71%	75%	71%	81%	49%	71%	70%	65%
78.1%		77%	91%	86%	77%	74%	59%	82%	84%	89%	77%	79%	76%	64%
72.2%		86%	77%	75%	74%	75%	60%	54%	61%	75%	58%	66%	93%	84%
89.2%		83%	89%	98%	95%	89%	88%	83%	95%	91%	86%	88%	88%	86%
58.6%		58%	64%	67%	67%	72%	74%	47%	55%	58%	46%	47%	47%	60%
86.8%		84%	91%	92%	86%	86%	89%	96%	88%	94%	83%	84%	78%	78%
89.2%		95%	93%	92%	96%	89%	96%	84%	92%	94%	78%	86%	76%	88%
86.5%		85%	89%	90%	93%	81%	84%	87%	88%	85%	72%	91%	92%	87%
80.9%		93%	91%	89%	90%	59%	92%	92%	96%	72%	60%	68%	79%	71%
83.5%		94%	97%	93%	91%	76%	79%	81%	84%	84%	79%	68%	78%	82%
82.1%		81%	84%	84%	88%	74%	91%	86%	87%	87%	67%	75%	88%	75%
76.7%		79%	81%	92%	10%	76%	80%	84%	83%	83%	80%	93%	76%	80%
89.2%		97%	96%	91%	96%	92%	88%	82%	80%	77%	95%	86%	86%	94%
83.9%		86%	79%	86%	99%	67%	81%	87%	90%	89%	90%	82%	75%	80%
89.3%		89%	86%	89%	90%	89%	89%	94%	87%	93%	86%	90%	89%	90%
85.8%		91%	80%	91%	88%	70%	87%	89%	91%	87%	87%	87%	80%	87%
80.8%		94%	75%	76%	91%	63%	73%	94%	93%	92%	76%	79%	69%	76%
70.8%		61%	77%	81%	86%	59%	74%	81%	93%	70%	52%	55%	77%	54%
77.7%		63%	84%	72%	88%	79%	84%	82%	79%	82%	54%	89%	76%	78%
88.7%		91%	90%	98%	95%	75%	95%	95%	97%	95%	87%	67%	86%	82%
88.4%		86%	89%	90%	91%	89%	80%	92%	85%	83%	89%	95%	88%	92%
89.2%		90%	93%	86%	71%	82%	91%	94%	95%	93%	83%	97%	89%	96%
89.5%		84%	95%	87%	90%	85%	96%	90%	96%	94%	90%	83%	88%	86%
91.6%		88%	91%	95%	96%	93%	92%	94%	91%	90%	95%	92%	85%	89%
88.4%		93%	92%	93%	92%	66%	92%	93%	93%	92%	83%	88%	80%	92%
78.7%		76%	80%	79%	76%	87%	78%	82%	76%	76%	83%	76%	78%	76%