DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AgeGroup%3A18 25 Ctx - Run b3baccd...

Global Dialogues GD4 - 18-25 (with context)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Gemini 2.5 Flash
85.9%
2.Claude Sonnet 4.5
85.8%
3.Claude Sonnet 4
85.3%
4.GPT 4.1
85.1%
5.Mistral Medium 3
84.0%

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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 84.0%	3rd 85.3%	2nd 85.8%	1st 85.9%	12th 77.4%	9th 82.1%	5th 84.0%	4th 85.1%	7th 82.8%	13th 76.8%	10th 80.5%	11th 79.0%	8th 82.7%
77.6%		69%	81%	81%	82%	66%	75%	82%	82%	78%	77%	78%	81%	77%
74.7%		91%	79%	87%	86%	59%	71%	87%	93%	71%	60%	59%	63%	65%
81.0%		89%	84%	84%	86%	74%	74%	86%	89%	87%	69%	81%	72%	78%
84.5%		86%	77%	88%	86%	86%	83%	88%	88%	81%	85%	81%	85%	85%
79.5%		79%	91%	85%	87%	69%	80%	78%	83%	82%	69%	73%	77%	81%
89.7%		87%	92%	92%	92%	85%	88%	88%	94%	91%	90%	88%	89%	90%
66.3%		86%	83%	88%	76%	53%	53%	74%	57%	51%	50%	55%	60%	76%
79.2%		81%	76%	76%	82%	68%	81%	85%	85%	81%	85%	73%	78%	79%
85.3%		93%	93%	95%	78%	82%	84%	83%	96%	76%	68%	87%	85%	89%
65.6%		61%	60%	77%	59%	87%	57%	79%	61%	55%	50%	62%	60%	85%
91.3%		86%	95%	96%	96%	76%	94%	94%	98%	90%	92%	93%	83%	94%
88.9%		81%	84%	84%	94%	94%	87%	92%	93%	89%	88%	94%	83%	93%
88.8%		89%	89%	89%	89%	86%	89%	89%	89%	89%	89%	89%	89%	89%
63.1%		69%	86%	37%	66%	72%	54%	55%	53%	71%	71%	54%	60%	72%
83.8%		86%	87%	68%	93%	83%	84%	93%	92%	83%	61%	79%	93%	88%
87.5%		94%	96%	96%	97%	72%	95%	89%	90%	94%	51%	92%	74%	97%
85.0%		85%	85%	93%	93%	80%	85%	88%	72%	81%	87%	94%	78%	84%
88.9%		86%	77%	93%	79%	98%	88%	94%	90%	94%	79%	90%	94%	94%
85.2%		85%	90%	85%	84%	86%	83%	85%	85%	82%	83%	86%	87%	87%
75.1%		80%	74%	79%	78%	64%	77%	73%	79%	75%	68%	85%	73%	71%
92.0%		88%	88%	94%	94%	92%	91%	92%	96%	93%	87%	93%	94%	94%
94.4%		98%	92%	94%	97%	93%	94%	96%	86%	97%	97%	97%	89%	97%
89.6%		82%	93%	94%	92%	87%	86%	94%	92%	88%	87%	88%	91%	91%
67.1%		79%	69%	64%	78%	56%	70%	67%	66%	77%	58%	53%	50%	85%
82.1%		79%	89%	83%	82%	84%	90%	81%	87%	82%	78%	70%	80%	82%
84.7%		97%	85%	85%	87%	86%	64%	87%	75%	87%	87%	87%	87%	87%
87.3%		87%	88%	93%	93%	84%	92%	89%	96%	78%	83%	82%	78%	92%
72.0%		54%	71%	85%	83%	70%	69%	73%	83%	70%	67%	64%	75%	72%
79.2%		82%	88%	83%	84%	75%	77%	80%	90%	87%	70%	69%	70%	74%
84.2%		70%	86%	85%	90%	87%	81%	88%	90%	91%	63%	87%	88%	88%
94.1%		96%	93%	93%	94%	89%	95%	92%	92%	97%	97%	87%	99%	99%
90.9%		98%	96%	91%	90%	87%	88%	97%	93%	94%	94%	89%	89%	76%
78.5%		88%	85%	91%	91%	59%	77%	85%	89%	84%	87%	59%	52%	74%
82.5%		87%	90%	90%	95%	66%	86%	94%	90%	90%	46%	90%	59%	89%
82.8%		84%	82%	82%	86%	82%	83%	84%	81%	80%	69%	86%	87%	90%
92.7%		95%	92%	90%	90%	90%	94%	94%	94%	95%	93%	91%	94%	93%
87.5%		95%	95%	86%	94%	87%	81%	94%	92%	72%	80%	92%	88%	82%
74.1%		76%	76%	77%	73%	73%	73%	73%	75%	75%	73%	73%	73%	73%
87.5%		88%	87%	87%	87%	77%	88%	86%	86%	84%	93%	92%	92%	91%
75.5%		73%	91%	87%	73%	73%	73%	73%	73%	73%	73%	73%	73%	73%
83.6%		92%	90%	85%	88%	71%	87%	87%	87%	96%	52%	91%	68%	93%
84.6%		95%	73%	89%	86%	79%	81%	82%	69%	93%	99%	80%	89%	85%
83.2%		93%	86%	93%	94%	67%	85%	88%	87%	87%	78%	60%	81%	82%
79.1%		86%	87%	76%	79%	70%	84%	84%	90%	67%	75%	88%	77%	65%
80.8%		89%	90%	89%	89%	88%	94%	64%	91%	69%	54%	78%	65%	91%
84.5%		78%	90%	92%	86%	66%	88%	87%	89%	85%	81%	79%	86%	92%
77.2%		79%	76%	73%	86%	78%	76%	76%	77%	76%	75%	77%	79%	76%
84.8%		81%	98%	99%	86%	10%	90%	86%	89%	87%	80%	99%	98%	99%
92.5%		95%	87%	94%	93%	97%	94%	94%	86%	93%	93%	93%	86%	97%
86.0%		86%	86%	90%	83%	90%	87%	85%	92%	85%	83%	83%	83%	85%
86.9%		94%	84%	90%	88%	88%	84%	88%	86%	87%	85%	85%	85%	86%
77.4%		72%	81%	83%	85%	77%	76%	80%	86%	79%	71%	77%	64%	75%
79.7%		86%	78%	87%	89%	74%	78%	81%	77%	83%	74%	74%	81%	74%
68.2%		67%	73%	75%	72%	59%	69%	69%	71%	74%	79%	62%	67%	49%
90.9%		91%	91%	91%	91%	90%	91%	91%	91%	91%	91%	91%	91%	91%
81.8%		90%	87%	87%	78%	77%	75%	97%	83%	82%	78%	76%	76%	77%
61.8%		58%	67%	61%	63%	46%	79%	70%	80%	59%	28%	61%	55%	76%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
82.9%		87%	87%	89%	88%	66%	87%	74%	89%	86%	83%	83%	66%	93%
81.6%		79%	81%	88%	79%	76%	85%	83%	83%	87%	76%	84%	69%	91%
86.4%		95%	93%	81%	88%	91%	80%	80%	83%	84%	76%	91%	92%	89%
75.5%		69%	86%	84%	67%	73%	82%	80%	82%	72%	68%	75%	74%	69%
81.2%		84%	85%	87%	71%	78%	88%	87%	85%	78%	78%	78%	78%	78%
91.3%		88%	94%	95%	91%	80%	90%	93%	93%	94%	95%	91%	87%	96%
93.5%		87%	96%	97%	97%	89%	89%	96%	97%	92%	91%	92%	98%	95%
67.3%		61%	77%	80%	92%	59%	77%	70%	74%	72%	49%	50%	44%	70%
72.1%		76%	72%	77%	92%	65%	77%	72%	80%	75%	63%	62%	59%	67%
79.8%		87%	87%	81%	87%	81%	73%	70%	80%	86%	70%	75%	72%	88%
78.5%		78%	79%	88%	84%	71%	73%	75%	86%	85%	77%	82%	66%	76%
78.3%		91%	80%	82%	62%	78%	63%	73%	72%	92%	79%	84%	79%	83%
83.8%		83%	83%	89%	83%	88%	83%	83%	83%	83%	83%	83%	83%	83%
81.2%		88%	95%	83%	72%	77%	83%	61%	89%	70%	79%	81%	86%	92%
86.3%		90%	91%	91%	88%	81%	88%	85%	86%	83%	74%	94%	87%	84%
75.7%		80%	80%	74%	85%	69%	85%	86%	80%	75%	56%	85%	58%	71%
83.8%		84%	85%	87%	83%	89%	78%	87%	84%	80%	84%	85%	79%	85%
88.7%		91%	93%	96%	87%	89%	98%	88%	87%	89%	79%	80%	88%	88%
85.5%		85%	88%	86%	90%	95%	78%	90%	84%	71%	69%	90%	89%	96%
85.1%		83%	87%	90%	82%	86%	88%	85%	86%	83%	81%	87%	85%	83%
90.5%		86%	93%	94%	97%	86%	90%	96%	97%	85%	92%	87%	81%	93%
91.5%		91%	91%	91%	91%	97%	91%	91%	91%	91%	91%	91%	91%	91%
83.1%		78%	88%	91%	78%	78%	94%	87%	96%	78%	78%	78%	78%	78%
92.5%		96%	96%	95%	92%	85%	94%	98%	94%	94%	83%	87%	94%	94%
84.1%		94%	97%	96%	82%	71%	88%	91%	92%	90%	68%	72%	72%	80%
88.8%		87%	87%	90%	91%	91%	89%	92%	81%	83%	93%	92%	85%	93%
86.4%		94%	87%	77%	90%	86%	85%	91%	90%	90%	77%	87%	84%	85%
91.1%		87%	88%	92%	90%	89%	88%	93%	94%	89%	96%	96%	87%	95%
79.8%		87%	87%	83%	86%	81%	83%	84%	81%	85%	68%	69%	74%	69%
79.2%		92%	79%	80%	83%	68%	79%	82%	78%	83%	75%	72%	84%	75%
82.5%		89%	89%	94%	94%	61%	79%	88%	84%	85%	85%	70%	70%	85%
81.8%		87%	80%	80%	97%	64%	76%	79%	91%	93%	86%	79%	80%	71%
70.3%		64%	69%	76%	96%	64%	72%	70%	71%	84%	46%	67%	69%	66%
75.1%		85%	84%	82%	85%	66%	57%	80%	89%	69%	85%	61%	61%	72%
78.5%		94%	87%	89%	87%	79%	61%	80%	66%	69%	67%	71%	91%	80%
85.5%		78%	84%	86%	87%	83%	82%	83%	92%	90%	89%	89%	84%	85%
62.1%		62%	68%	69%	68%	76%	75%	54%	53%	55%	51%	55%	71%	50%
85.5%		80%	86%	91%	78%	82%	88%	91%	93%	86%	92%	88%	78%	78%
89.6%		95%	92%	95%	96%	90%	91%	97%	91%	85%	73%	82%	88%	90%
80.9%		79%	80%	84%	91%	76%	79%	83%	83%	81%	66%	80%	87%	83%
82.5%		94%	93%	93%	91%	59%	88%	90%	96%	88%	63%	78%	71%	68%
81.3%		84%	96%	95%	91%	79%	81%	79%	83%	83%	75%	65%	69%	77%
82.0%		80%	84%	87%	72%	75%	91%	70%	88%	89%	78%	79%	93%	80%
78.9%		78%	77%	83%	81%	77%	78%	80%	79%	78%	70%	89%	78%	78%
91.5%		92%	92%	96%	97%	89%	90%	88%	93%	78%	97%	87%	93%	97%
85.2%		86%	89%	92%	96%	68%	74%	83%	90%	86%	89%	90%	80%	84%
85.8%		81%	81%	84%	89%	91%	81%	85%	87%	88%	89%	86%	85%	88%
81.7%		84%	77%	89%	83%	79%	83%	85%	77%	90%	82%	83%	68%	82%
79.8%		93%	80%	74%	85%	71%	67%	93%	90%	89%	76%	80%	63%	76%
68.7%		61%	71%	78%	85%	54%	76%	79%	91%	70%	57%	54%	62%	55%
75.1%		60%	83%	65%	90%	78%	81%	80%	81%	80%	50%	84%	75%	69%
87.8%		90%	95%	96%	89%	74%	93%	85%	90%	95%	92%	75%	94%	73%
86.3%		82%	89%	90%	95%	89%	76%	91%	86%	82%	69%	90%	93%	90%
83.5%		89%	87%	85%	90%	58%	86%	79%	93%	87%	75%	91%	82%	83%
87.7%		86%	90%	84%	93%	82%	94%	86%	89%	90%	88%	87%	87%	84%
93.2%		92%	95%	96%	90%	96%	99%	94%	92%	87%	95%	92%	89%	95%
76.8%		77%	78%	78%	79%	59%	77%	90%	79%	78%	86%	80%	59%	79%
82.6%		83%	79%	80%	83%	88%	81%	82%	83%	83%	83%	83%	83%	83%