DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AiConcern%3Amore Excited Than Concerned Ctx - Run ee4cacd...

Global Dialogues GD4 - More excited than concerned (with context)

DTEF: Predict response distributions for More excited than concerned. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
86.5%
2.Claude Sonnet 4
86.5%
3.GPT 4.1
86.2%
4.Gemini 2.5 Flash
85.7%
5.Mistral Medium 3
84.8%

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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		6th 84.7%	2nd 86.5%	1st 86.5%	4th 85.7%	13th 78.9%	9th 83.7%	5th 84.8%	3rd 86.2%	7th 84.0%	12th 80.5%	10th 82.3%	11th 80.6%	8th 83.8%
83.9%		78%	84%	84%	87%	79%	80%	87%	81%	89%	84%	89%	85%	84%
82.8%		95%	87%	88%	90%	65%	81%	89%	95%	86%	72%	79%	72%	78%
82.0%		91%	93%	91%	92%	77%	63%	88%	92%	88%	59%	85%	79%	68%
85.4%		90%	85%	90%	73%	85%	92%	80%	93%	81%	88%	87%	77%	89%
77.6%		87%	91%	82%	82%	67%	86%	73%	79%	64%	72%	69%	75%	82%
90.1%			93%	92%	91%	86%	90%	90%	94%	88%	88%	91%	88%	90%
69.8%		89%	87%	89%	80%	53%	51%	64%	60%	52%	77%	59%	64%	83%
86.2%		98%	81%	95%	82%	71%	90%	86%	83%	87%	90%	87%	86%	85%
85.8%		95%	97%	81%	77%	99%	84%	87%	87%	75%	67%	85%	89%	92%
63.3%		61%	62%	61%	58%	74%	67%	56%	69%	55%	73%	57%	57%	73%
91.7%		87%	97%	96%	97%	86%	92%	89%	97%	92%	95%	93%	86%	85%
93.6%		88%	88%	93%	97%	95%	90%	89%	95%	97%	94%	97%	97%	97%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
72.9%		86%	94%	82%	80%	72%	52%	63%	64%	77%	70%	71%	64%	73%
81.9%		75%	82%	90%	89%	78%	84%	92%	87%	86%	57%	61%	92%	92%
93.3%				92%			94%							94%
90.7%		91%	86%	87%	95%	86%	91%	88%	89%	92%	99%	92%	87%	96%
88.8%		91%	83%	87%	94%	89%	87%	92%	93%	97%	77%	77%	94%	94%
92.5%		93%	92%	94%	92%	92%	92%	90%	91%	92%	93%	95%	93%	93%
71.9%		72%	100%	66%	53%	51%	100%	51%	100%	72%	69%	63%	69%	69%
89.2%		85%	91%	93%	94%	88%	88%	92%	94%	88%	74%	85%	94%	94%
91.1%		93%	91%	95%	98%	87%	93%	95%	91%	96%	94%	96%	59%	96%
92.7%		93%	96%	95%	94%	85%	93%	95%	93%	93%	92%	92%	91%	93%
65.0%		71%	72%	66%	65%	61%	73%	72%	70%	68%	54%	45%	61%	67%
82.5%		84%	91%	91%	77%	85%	85%	85%	93%	66%	85%	58%	81%	91%
83.2%		92%	84%	81%	86%	86%	48%	86%	88%	86%	86%	86%	86%	86%
84.5%		82%	88%	91%	89%	81%	69%	96%	98%	81%	81%	81%	81%	81%
77.1%		71%	70%	83%	90%	61%	74%	72%	83%	89%	82%	78%	71%	78%
82.6%		88%	89%	79%	90%	79%	81%	79%	92%	90%	73%	85%	73%	76%
86.8%		89%	90%	81%	92%	64%	87%	91%	91%	90%	92%	84%	88%	90%
90.7%		90%	88%	90%	90%	90%	91%	90%	91%	92%	92%	92%	92%	91%
87.8%		91%	89%	89%	87%	80%	87%	88%	88%	90%	86%	90%	87%	89%
81.5%		90%	86%	91%	91%	68%	85%	91%	82%	78%	86%	70%	68%	73%
88.6%		90%	92%	89%	93%		88%	94%			91%	91%	69%
86.2%		91%	92%	83%	90%	89%	70%	92%	87%	76%	93%	85%	84%	88%
94.1%		94%	94%	94%	93%	89%	93%	96%	94%	94%	95%	95%	96%	96%
85.4%		62%	86%	84%	89%	92%	83%	89%	91%	82%	86%	93%	91%	82%
89.5%		89%	88%	87%	89%	90%	90%	91%	90%	90%	90%	90%	90%	90%
93.1%		94%	93%	93%	90%	89%	89%	96%	94%	93%	95%	95%	96%	93%
89.6%		90%	90%	85%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%
80.8%		92%		81%		82%	86%				63%		81%
77.8%		89%	87%	91%	93%	65%	75%	74%	65%	88%	90%	63%	65%	67%
85.5%		91%	87%	97%	95%	72%	92%	96%	88%	83%	78%	71%	77%	84%
75.8%		69%	77%	66%	57%	86%	90%	72%	86%	66%	77%	93%	83%	63%
82.1%		86%	94%	93%	80%	84%	95%	72%	88%	73%	72%	73%	74%	83%
84.4%		73%	83%		83%	65%	92%	91%	88%	88%	80%	89%	90%	91%
79.7%		88%	85%	76%	80%	86%	78%	83%	79%	81%	72%	74%	82%	72%
84.9%		79%	92%	91%	97%	10%	99%	93%	86%	95%	75%	99%	93%	95%
92.6%		94%	86%	94%	95%	88%	98%	94%	90%	97%	97%	96%	79%	96%
93.4%		93%	95%	94%	96%	93%	95%	94%	91%	93%	93%	92%	92%	93%
94.5%		97%	94%	95%	98%	95%	92%	95%	92%	93%	93%	93%	97%	94%
75.7%		76%	79%	80%	80%	72%	85%	69%	85%	79%	68%	86%	54%	71%
78.5%		80%	83%	88%	88%	74%	78%	85%	74%	78%	73%	73%	73%	73%
73.5%			73%	73%	85%		76%	70%	76%	83%	80%	55%	74%	63%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
82.9%		82%	83%	91%	90%	79%	79%	91%	80%	87%	81%	88%	75%	72%
61.3%		53%	67%	54%	79%	48%	77%	71%	71%	50%	53%	54%	57%	63%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
83.2%		83%	83%	90%			87%						70%	86%
79.1%		78%	84%	73%	68%	81%	77%	83%	83%	74%	83%	83%	73%	88%
84.8%		81%	87%	88%	64%	92%	90%	82%	99%	74%	76%	88%	89%	93%
81.7%		82%	95%	92%	90%	66%	74%	92%	76%	85%	64%	86%	82%	78%
89.4%		95%	88%	88%	81%	86%	79%	93%	92%	92%	92%	92%	92%	92%
95.0%		95%	97%	98%	95%	92%	91%	97%	98%	97%	94%	94%	92%	95%
91.5%		91%	92%	93%	92%	88%	89%		92%	91%	92%	94%	91%	93%
76.9%		69%	86%	88%	90%	63%	83%	79%	84%	91%	47%	82%	58%	80%
76.3%		85%	82%	82%	88%	68%	79%	82%	82%	79%	59%	70%	68%	68%
78.4%		78%	90%	83%	77%	80%	70%	75%	85%	84%	69%	68%	75%	85%
84.2%		89%	88%	87%	83%	87%	85%	82%	85%	83%	83%	77%	79%	87%
84.9%		90%	81%	85%	64%	91%	83%	82%	81%	91%	85%	94%	89%	88%
83.3%		83%	83%	86%	83%	79%	88%	83%	83%	83%	83%	83%	83%	83%
83.7%		83%	95%	87%	72%	87%	82%	62%	91%	74%	85%	90%	84%	96%
85.3%		89%	89%	96%	86%	80%	91%	87%	88%	86%	63%	86%	86%	82%
74.2%		68%	81%	77%	78%	70%	85%	85%	80%	73%	60%	77%	65%	66%
83.2%		84%	83%	85%	84%	86%	73%	90%	83%	80%	84%	77%	86%	86%
90.8%		91%	92%	93%	89%	92%	97%	89%	89%	89%	89%	89%	91%	90%
81.1%			80%	78%		92%	80%	75%	84%			79%
84.1%		85%	86%	88%	83%	86%	87%	84%	83%	82%	83%	80%	85%	81%
90.9%		93%	93%	93%	95%	84%	90%	92%	94%	87%	94%	91%	85%	91%
88.9%		89%	89%	89%	89%	88%	89%	89%	89%	89%	89%	89%	89%	89%
92.9%		92%	88%	98%	92%	93%	92%	96%	97%	92%	92%	92%	92%	92%
93.5%		96%	95%	92%	91%	86%	97%	96%	96%	97%	97%	86%	89%	97%
85.3%		86%	88%	87%	75%	80%	96%	86%	87%	84%	76%	85%	84%	95%
87.3%		85%	95%	94%	92%	82%	91%	97%	79%	85%	60%	97%	81%	97%
83.1%		90%	79%		86%	86%	73%	89%	84%	89%	76%	72%	86%	87%
92.8%		92%	94%	94%	90%	90%	87%	96%	92%	92%	96%	96%	92%	95%
80.2%		84%	90%	76%	86%	86%	86%	87%	86%	87%	68%	68%	71%	68%
69.6%		73%	71%	72%	68%	64%	73%	67%	73%	70%	64%	61%	76%	73%
76.5%		88%	79%		85%	69%	78%		80%	79%	71%	71%	71%	71%
81.0%		77%	79%	79%	83%	65%	92%	83%	93%	84%	86%	87%	73%	72%
72.1%		73%	76%			57%			68%		83%	71%	77%
74.9%		71%	95%	87%	73%	75%	56%	88%	79%	79%	79%	64%	64%	64%
73.8%		89%	74%	89%	75%	75%	50%	71%	61%	66%	71%	65%	87%	86%
80.1%		79%	81%	89%	86%	77%	75%	73%	89%	84%	77%	77%	77%	77%
61.7%		57%	63%		58%	76%	75%	55%	64%	58%	62%	50%	62%	60%
86.3%		94%	87%	95%	83%	79%	90%	84%	97%	85%	85%	81%	81%	81%
88.5%		82%	92%	95%	92%	89%	86%	91%	90%	93%	79%	89%	86%	87%
85.0%		83%	82%	84%	93%	76%	85%	87%	85%	85%	85%	85%	90%	85%
88.0%		90%	92%	89%	95%	67%	94%		97%	85%	75%	89%	93%	90%
79.8%		79%	93%	82%	86%	77%	72%	81%	82%	82%	89%	64%	64%	87%
83.2%		79%	87%	89%	96%	72%	82%	92%	89%	87%	72%	90%	67%	80%
80.3%		81%	81%	84%	85%	71%	72%	76%	77%	84%	96%	96%	70%	71%
85.1%		89%	92%	92%	84%	65%	85%	83%	83%	78%	92%	91%	83%	89%
81.3%		85%	80%	84%	92%	55%	84%	84%	91%	83%	85%	82%	72%	80%
87.2%		86%	85%	86%	91%	91%	86%	86%	84%	90%	77%	94%	90%	88%
82.9%		89%	80%	88%	86%	70%	85%	89%	85%	85%	85%	85%	66%	85%
81.7%		94%	73%	84%	95%	67%	75%	88%	90%	88%	76%	84%	72%	76%
84.1%		78%	85%	90%	96%	69%	91%	92%	92%	87%	65%	85%	90%	73%
77.4%		62%	88%	65%	77%	82%	86%	86%	88%	85%	51%	95%	66%	75%
87.5%		88%	91%	95%	94%	72%	90%	95%	94%	83%	84%	82%	85%	85%
84.2%		76%	90%	81%	87%	85%	73%	86%	81%	81%	83%	93%	89%	89%
81.6%		85%	80%	75%	78%	85%	87%	75%	78%	87%	84%	80%	77%	90%
85.3%		79%	86%	88%	85%	83%	88%	91%	92%	92%	86%	80%	80%	79%
93.8%		94%	96%	96%	98%	98%	89%	93%	96%	92%	97%	93%	91%	86%
88.5%		92%	92%	92%	92%	71%	92%	89%	92%	91%	83%	86%	87%	91%
82.4%		83%	81%	83%	83%	94%	81%	78%	83%	83%	83%	83%	81%	75%