DTeval

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 AiConcern%3Amore Concerned Than Excited Ctx - Run 7c236d5...

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

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Social interaction

AI Safety & Robustness

Economic Disruption & Reskilling Advice

Mental Health & Crisis Support

Best Models (Coverage)

1.Claude Sonnet 4.5
85.3%
2.GPT 4.1
84.4%
3.Gemini 2.5 Flash
83.9%
4.Mistral Medium 3
83.0%
5.Claude Sonnet 4
82.9%

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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	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 81.6%	5th 82.9%	1st 85.3%	3rd 83.9%	10th 76.2%	7th 81.2%	4th 83.0%	2nd 84.4%	8th 80.7%	11th 74.8%	12th 74.8%	13th 74.3%	9th 78.9%
70.8%		66%	70%	79%	87%	67%	74%	78%	83%	72%	57%	54%	60%	74%
79.1%		94%	94%	96%	92%	54%	77%	91%		88%	35%	70%	85%	73%
75.8%		69%	77%	78%	82%	73%	68%	78%	85%	79%	79%	68%	74%	76%
80.6%		86%	72%	87%	84%	88%	80%	83%	84%	83%	78%	69%	77%	77%
80.4%		87%	93%	94%	89%	64%	82%	71%	85%	76%	75%	80%	75%	74%
84.8%		85%	87%	88%	89%	78%	82%	83%	88%	87%	83%	86%	83%	83%
67.6%		89%	74%	82%	65%	63%	61%	72%	64%	63%	60%	66%	60%	60%
80.1%		83%	81%	80%	85%	82%	83%	90%	89%	81%	56%	72%	78%	81%
80.4%		95%	81%	92%	77%	70%	95%	87%	90%	74%	61%	57%	70%	96%
74.5%		71%	71%	69%	68%	89%	73%	62%	80%	60%	77%	83%	80%	86%
89.9%		92%	92%	92%	94%	86%	83%	86%	94%	91%	93%	87%	88%	91%
91.4%		87%	82%	92%	94%	91%	88%	91%	96%	94%	89%	94%	96%	94%
79.0%		79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%
55.3%		58%	71%	71%	66%	57%	52%	52%			49%	39%	41%	52%
70.2%		64%	85%	87%	81%	48%	66%	87%	86%	63%	60%	48%	65%	73%
84.8%		97%	92%	90%	92%	78%	94%	89%	88%	84%	77%	86%	43%	92%
81.2%		90%	80%	92%	90%	64%	85%	89%	80%	70%	85%	72%	82%	77%
87.0%		89%	86%	86%	83%	92%	82%	90%	88%	90%	77%	94%	83%	91%
87.0%		88%	86%	89%	91%	90%	85%	88%	88%	85%	79%	82%	92%	88%
62.1%		60%	61%	66%	60%	58%	67%	47%	67%	100%	59%	56%	53%	53%
85.2%		86%	84%	86%	86%	86%	87%	88%	84%	88%	83%	83%	83%	83%
93.8%		95%	90%	98%	96%	94%	93%	95%	90%	96%	96%	96%	85%	96%
86.6%		85%	90%	85%	89%	80%	82%	94%	91%	89%	86%	81%	89%	85%
66.9%		78%	78%	80%	73%	38%	66%	73%	70%	72%	55%	80%	44%	63%
73.7%			78%	76%				82%		66%		58%	82%
85.4%		89%	86%	86%	86%	86%	85%	86%	86%	76%	86%	86%	86%	86%
85.5%		94%	94%	92%	87%	87%	87%	85%	86%	69%	75%	90%	69%	96%
77.2%		68%	79%	80%	78%	76%	73%	73%	84%	81%	85%	70%	78%	78%
76.6%		75%	79%	81%	84%	77%	81%	83%	86%	84%	71%	65%	66%	64%
85.7%		77%	84%	86%	91%	80%	91%	91%	92%	90%	86%	74%	80%	92%
92.9%		92%	95%	95%	94%	87%	92%	93%	97%	97%	95%	88%	91%	92%
90.9%		96%	93%	92%	95%	92%	89%	92%	92%	82%	93%	91%	85%	90%
76.5%		79%	83%	87%	80%	76%	76%	89%	83%	85%	89%	56%	48%	64%
78.5%		82%	81%	89%	86%	68%	81%	87%	85%	83%	83%	83%	28%	84%
82.8%		79%	84%	87%	82%	85%	81%	86%	83%	76%	83%	86%	81%	83%
90.3%		95%	92%	90%	90%	93%	90%	92%	86%	93%	86%	87%	88%	92%
86.4%		93%	93%	93%	96%	92%	90%	90%	97%	66%	50%	88%	83%	92%
84.6%		84%	84%	85%	85%	85%	85%	85%	84%	83%	85%	85%	85%	85%
84.5%		85%	86%	84%	79%	88%	85%	85%	77%	78%	86%	86%	90%	90%
86.0%		85%	86%	89%	85%	89%	85%	85%	85%	85%	89%	85%	85%	85%
84.8%		97%	95%	82%	84%	71%	95%		88%	91%	93%	97%	39%	86%
80.8%		88%	88%	91%	80%	78%	83%	85%	76%	78%	95%	57%	73%	78%
80.6%		91%	82%	88%	93%	79%	83%	87%	91%	76%	78%	55%	66%	79%
72.5%		70%	73%	80%	74%	62%	84%	74%	79%	64%	76%	82%	64%	61%
69.2%		67%	84%	79%	77%	81%	65%	79%	85%		35%	56%	44%	78%
75.1%		75%	78%	79%	78%	67%	83%	65%	79%	74%	66%	66%	80%	86%
85.9%					81%	85%		90%	89%	90%	84%	85%	83%
91.8%			98%	95%	93%	96%	93%	88%	84%	92%	94%	88%	89%	91%
92.2%		91%	90%	90%	93%	94%	96%	92%	89%	93%	95%	93%	87%	96%
80.6%		76%	76%	84%	85%	81%	85%	81%	88%	79%	79%	79%	79%	76%
80.2%		80%	78%	76%	80%	83%	77%	82%	76%	83%	83%	83%	83%	78%
60.4%		52%	83%	76%	83%	41%	74%	58%	81%	58%	33%	48%	41%	57%
66.8%		62%	71%	78%	82%	58%	66%	77%	78%	63%	57%	44%	66%	67%
68.0%		71%	84%	84%	89%	46%	75%		76%	79%	62%	68%	33%	49%
89.0%		89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%	89%
76.2%		64%	87%	88%	93%	80%	72%	88%	80%	73%	69%	62%	68%	66%
61.5%		62%	73%	65%	78%	40%	56%	58%	74%	45%	38%	82%	63%	65%
79.0%		79%		79%		79%					79%	79%
81.8%		85%	89%	92%	91%	67%	85%	87%	86%	87%	84%	84%	40%	86%
88.9%		88%	85%	90%	86%	82%	90%	95%	96%	93%	96%	96%	70%	89%
79.2%		92%	83%	87%	68%	80%	82%	78%	87%	74%	68%	75%	82%	74%
80.3%		75%	83%	85%	84%	79%	89%	90%	82%	78%	71%	71%	80%	77%
76.8%		76%	84%	90%	79%	84%	94%	84%	87%	62%	62%	73%	62%	62%
87.4%		88%	88%	89%	92%	83%	77%	88%	91%	90%	86%	89%	87%	88%
87.2%		84%	88%	89%	94%	85%	85%	91%	89%	87%	86%	81%	88%	86%
67.7%		58%	69%	83%	93%	61%	80%	78%	79%	77%	42%	38%	47%	75%
65.2%		71%	73%	67%	84%	62%	69%	74%	79%	60%	58%	43%	52%	55%
68.2%		77%	68%	74%	75%	60%	60%	66%	77%	77%	59%	56%	61%	76%
73.5%		73%	75%	77%	71%	75%	75%	77%	73%	76%	70%	72%	69%	73%
84.8%		95%	72%	91%	72%		84%	90%	82%	73%	92%			97%
85.2%		85%	85%	88%	85%	85%	85%	85%	85%	85%	85%	85%	85%	85%
77.6%		82%	87%	85%	69%	69%	89%	69%	85%	77%	87%	54%	77%	79%
77.5%		73%	76%	85%	82%	73%	81%	83%	80%	78%	71%	71%	79%	75%
63.1%		75%	85%	81%	76%	39%	60%	76%	74%	66%	44%	35%	41%	68%
90.8%		90%	95%	97%	88%	91%	86%	92%	90%	89%	87%	91%	93%	91%
90.3%		94%	94%	94%	87%	95%	94%	91%	90%	85%	85%	92%	86%	87%
83.4%		81%	81%	88%	87%	79%	90%		91%	90%	75%	77%	82%	80%
82.8%		80%	83%	94%	88%	81%	84%	86%	86%	85%	75%	67%	82%	86%
88.5%		88%	91%	91%	93%	85%	83%	90%	91%	90%	89%	83%	85%	91%
89.0%				89%	89%		89%					89%		89%
74.6%		62%	77%	99%	78%	70%	70%	72%	90%	71%	62%	95%	62%	62%
92.5%		91%	93%	94%	97%	91%	90%	94%	92%	94%	92%	87%	94%	94%
74.0%		81%	91%	83%	67%	70%	72%	83%	85%	86%	55%	57%	66%	66%
87.8%		88%	87%	88%	93%	92%	92%	90%	85%	84%	93%	74%	86%	89%
83.8%		76%	82%	86%	88%	87%	87%	88%	86%	85%	86%	80%	80%	79%
93.6%		95%	96%	96%	94%	89%	93%	92%	95%	96%	91%	91%	93%	96%
78.3%		79%	84%	82%	81%	72%	80%	79%	77%	80%	76%	76%	76%	76%
82.3%		91%	88%	85%	81%	76%	78%	76%	75%	87%	87%	81%	88%	77%
83.6%		96%	89%	93%	93%	76%	88%	81%	84%	83%	76%	76%	76%	76%
80.6%		79%	83%	83%	79%	86%	96%	86%	83%	79%	85%	57%	73%	79%
69.7%		71%	57%	77%	92%	76%	74%	69%	72%	85%	50%	61%	68%	54%
80.5%		83%	83%	89%	89%	76%	65%	80%	90%	74%	83%	75%	76%	83%
74.5%		88%	77%	87%	58%	87%	69%	67%	67%	70%	74%	62%	88%	74%
91.4%		86%	89%	93%	91%	94%	89%	96%	92%	93%	91%	89%	93%	92%
66.5%		73%	65%	70%	75%	65%	70%		59%	74%	39%	76%	56%	76%
75.5%		66%	77%	74%	77%	80%	89%	75%	85%	78%	56%	79%	73%	73%
86.6%		89%	88%	93%	89%	90%	93%	88%	86%	86%	76%	69%	85%	94%
83.0%		81%	80%	88%	84%	83%	81%	85%	91%	79%	81%	77%	88%	81%
77.5%		92%	87%	82%	86%	36%	86%	87%	92%	85%	36%	89%	72%	78%
82.3%		90%	89%	90%	88%	79%	80%	86%	82%	79%	89%	69%	80%	69%
68.8%		74%	83%	87%	64%	61%	81%	82%	88%	78%	38%	49%	48%	61%
79.2%		78%	82%	83%	80%	77%	80%	81%	83%	78%	76%	77%	77%	78%
84.7%		85%	94%	87%	89%	79%	83%	82%	81%	87%	89%	67%	89%	89%
75.8%		71%	65%	70%	83%	72%	85%	81%	82%	77%	79%	69%	75%	76%
85.6%		85%	80%	82%	80%	88%	81%	87%	82%	87%	92%	91%	91%	87%
83.7%		88%	75%	88%	86%	74%	83%	87%	92%	89%	86%	85%	71%	84%
65.8%		86%	69%	68%	79%	54%	62%	81%	81%	78%	65%	31%	47%	54%
79.1%		81%	79%	88%	86%	41%	72%	88%	89%	84%	92%	92%	92%	44%
72.0%		68%	73%	74%	72%	71%	75%	76%	77%	73%	60%	73%	72%	72%
79.5%		90%	85%	89%	90%	75%	75%	90%	84%	87%	76%	64%	71%	58%
83.8%		87%	89%	89%	90%	88%	90%	92%	82%	84%	49%	81%	85%	84%
84.3%		93%	88%	86%	91%	82%	81%	84%	91%	75%	85%	69%	92%	79%
81.5%		71%	79%	83%	85%	69%	85%	85%	87%	86%	86%	78%	86%	80%
92.3%		92%	93%	94%	90%	90%	93%	93%	91%	93%	93%	90%	94%	94%
81.2%		84%	88%	88%	84%	81%	84%	88%	88%	84%	60%	81%	62%	84%
84.9%		82%	91%					85%	85%	85%	81%	85%	85%