DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Aunited States C10 - Run 60760fd...

Global Dialogues GD4 - United States (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

AI Safety & Robustness

Social interaction

Best Models (Coverage)

1.Claude Sonnet 4.5
82.4%
2.GPT 4.1
82.4%
3.Claude Haiku 4.5
81.6%
4.Claude Sonnet 4
81.4%
5.GPT 4.1 Mini
81.0%

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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		3rd 81.6%	4th 81.4%	1st 82.4%	10th 77.9%	13th 76.3%	7th 80.3%	6th 80.6%	2nd 82.4%	5th 81.0%	11th 77.4%	9th 78.1%	8th 78.1%	12th 76.9%
69.3%		73%	74%	87%	67%	56%	63%	70%	76%	62%	70%	62%	76%	65%
62.0%		63%	67%	72%	67%	38%	55%	68%	87%	67%	59%	57%	52%	54%
80.8%		79%	87%	88%	86%	78%	83%	79%	87%	84%	76%	75%	77%	71%
83.3%		87%	83%	83%	76%	87%	82%	84%	85%	83%	80%	83%	86%	84%
70.6%		75%	78%	75%	68%	69%	72%	70%	71%	69%	67%	66%	65%	73%
74.6%		80%	73%	80%	83%	65%	72%	76%	85%	81%	65%	86%	76%	48%
75.2%		92%	91%	88%	84%	64%	82%	65%	67%	67%	80%	61%	66%	71%
80.8%		85%	79%	60%	75%	82%	86%	88%	73%	87%	88%	88%	86%	74%
78.5%		78%	79%	79%	78%	84%	86%	69%	84%	81%	83%	77%	72%	71%
76.5%		70%	66%	64%	85%	81%	81%	68%	76%	74%	88%	84%	83%	75%
83.3%		86%	79%	86%	85%	79%	82%	81%	86%	82%	86%	87%	80%	84%
87.9%		90%	86%	86%	90%	90%	88%	91%	94%	91%	73%	95%	86%	83%
79.8%		82%	75%	79%	77%	81%	71%	90%	82%	82%	94%	72%	81%	72%
56.4%		74%	61%	64%	57%	45%	59%	55%	49%	59%	46%	46%	57%	61%
71.9%		61%	73%	71%	71%	63%	68%	67%	85%	79%	77%	70%	80%	70%
75.4%		80%	85%	86%	76%	71%	81%	78%	83%	81%	59%	69%	66%	65%
80.2%		87%	82%	82%	88%	78%	80%	81%	76%	78%	82%	69%	78%	81%
86.5%		90%	89%	89%	82%	83%	90%	91%	91%	87%	83%	70%	88%	91%
87.1%		91%	93%	89%	92%	83%	90%	88%	91%	87%	83%	84%	77%	84%
77.3%		83%	76%	76%	71%	69%	80%	70%	79%	76%	82%	88%	78%	77%
85.6%		92%	89%	88%	73%	77%	87%	92%	94%	90%	71%	73%	91%	96%
87.2%		95%	94%	90%	83%	86%	86%	94%	84%	85%	71%	87%	82%	96%
70.8%		66%	77%	81%	89%	67%	72%	83%	86%	59%	71%	83%	50%	37%
71.8%		76%	84%	84%	76%	60%	73%	78%	78%	63%	61%	58%	63%	79%
83.3%		81%	89%	85%	53%	88%	86%	81%	86%	85%	89%	82%	87%	91%
92.2%		94%	92%	95%	94%	88%	88%	86%	91%	94%	94%	94%	94%	94%
81.8%		80%	86%	86%	79%	76%	89%	80%	83%	82%	78%	81%	80%	84%
71.1%		78%	68%	69%	74%	51%	72%	78%	74%	75%	76%	73%	69%	67%
82.7%		88%	86%	87%	86%	75%	88%	84%	90%	78%	85%	74%	76%	78%
78.4%		79%	86%	85%	83%	67%	75%	83%	81%	75%	74%	72%	80%	79%
75.2%		75%	77%	81%	89%	74%	81%	82%	81%	75%	56%	88%	67%	51%
81.3%		79%	73%	79%	73%	82%	81%	87%	80%	84%	86%	88%	87%	78%
79.5%		85%	77%	92%	91%	75%	78%	77%	84%	81%	79%	78%	62%	74%
76.0%		76%	74%	90%	85%	72%	77%	82%	92%	81%	65%	62%	66%	66%
83.5%		62%	81%	88%	92%	88%	94%	81%	73%	63%	91%	88%	94%	91%
74.4%		78%	78%	80%	84%	75%	68%	74%	86%	71%	57%	82%	83%	51%
80.4%		84%	75%	65%	70%	87%	82%	79%	79%	87%	88%	86%	89%	74%
77.6%		73%	73%	70%	76%	75%	83%	74%	76%	75%	81%	80%	87%	86%
78.9%		77%	83%	86%	91%	74%	85%	85%	86%	77%	73%	79%	81%	49%
75.5%		84%	86%	83%	82%	74%	10%	79%	86%	84%	76%	76%	79%	83%
83.6%		92%	89%	79%	59%	80%	91%	80%	86%	95%	71%	91%	82%	92%
85.3%		87%	89%	89%	86%	89%	87%	85%	74%	84%	91%	80%	84%	84%
71.8%		73%	66%	81%	68%	75%	81%	70%	77%	72%	73%	68%	61%	68%
77.1%		78%	76%	91%	58%	70%	90%	84%	81%	72%	84%	74%	80%	64%
82.2%		83%	85%	85%	82%	81%	84%	81%	84%	74%	84%	80%	83%	83%
84.5%		93%	86%	87%	93%	70%	88%	84%	86%	89%	67%	83%	86%	87%
80.5%		93%	86%	75%	67%	87%	81%	83%	80%	79%	74%	81%	81%	79%
80.4%		83%	96%	96%	76%	67%	77%	79%	82%	83%	70%	83%	79%	74%
80.5%		78%	82%	86%	78%	82%	90%	86%	76%	71%	68%	75%	78%	96%
77.7%		83%	77%	75%	70%	79%	83%	83%	79%	77%	83%	70%	71%	80%
82.7%		89%	87%	86%	77%	80%	85%	86%	81%	84%	85%	80%	74%	81%
64.0%		51%	70%	81%	30%	63%	78%	79%	76%	64%	58%	60%	58%	64%
76.9%		86%	85%	87%	84%	73%	65%	81%	79%	81%	71%	50%	82%	76%
69.5%		78%	71%	69%	65%	59%	75%	76%	76%	65%	70%	60%	72%	67%
78.9%		76%	84%	81%	74%	71%	75%	80%	79%	85%	89%	83%	74%	75%
81.8%		80%	86%	88%	78%	80%	81%	84%	87%	86%	78%	79%	77%	80%
73.8%		66%	79%	72%	87%	57%	75%	83%	89%	76%	65%	75%	61%	74%
82.9%		88%	79%	81%	81%	87%	78%	85%	82%	86%	82%	80%	87%	82%
77.6%		82%	88%	91%	92%	63%	82%	83%	90%	79%	59%	62%	63%	75%
78.2%		79%	79%	81%	81%	92%	77%	64%	72%	77%	77%	79%	84%	75%
82.2%		84%	89%	80%	46%	91%	94%	81%	82%	86%	89%	87%	87%	72%
71.3%		77%	76%	82%	76%	63%	68%	77%	74%	64%	76%	59%	68%	67%
88.7%		92%	93%	92%	81%	91%	87%	90%	92%	91%	78%	84%	92%	90%
84.7%		86%	81%	82%	87%	89%	85%	87%	85%	86%	84%	88%	84%	77%
69.0%		64%	76%	89%	91%	73%	71%	68%	79%	69%	52%	77%	55%	33%
88.2%		91%	85%	85%	92%	88%	94%	86%	93%	94%	78%	83%	83%	94%
72.9%		82%	72%	77%	82%	64%	80%	81%	78%	75%	65%	59%	67%	66%
73.7%		78%	79%	69%	62%	80%	73%	72%	66%	77%	73%	75%	74%	80%
74.6%		68%	83%	81%	78%	70%	72%	76%	78%	70%	71%	75%	72%	76%
77.6%		94%	77%	66%	64%	82%	78%	67%	68%	92%	80%	82%	78%	81%
80.6%		84%	86%	88%	48%	84%	84%	79%	89%	83%	80%	80%	80%	83%
82.2%		87%	87%	84%	71%	88%	88%	77%	80%	83%	81%	79%	87%	76%
84.5%		98%	80%	95%	86%	77%	74%	94%	90%	89%	83%	81%	78%	74%
78.3%		83%	81%	81%	80%	64%	88%	89%	86%	78%	69%	75%	68%	76%
71.8%		76%	69%	73%	65%	74%	72%	72%	74%	71%	71%	73%	75%	68%
85.8%		82%	89%	90%	82%	91%	93%	82%	81%	93%	81%	85%	83%	83%
87.1%		87%	85%	90%	87%	86%	86%	87%	90%	85%	79%	89%	90%	91%
81.4%		88%	74%	85%	82%	72%	80%	85%	84%	86%	89%	68%	76%	89%
81.5%		90%	81%	86%	55%	77%	81%	80%	87%	87%	87%	83%	86%	80%
78.5%		77%	79%	79%	70%	71%	78%	78%	78%	87%	80%	80%	86%	77%
90.6%		92%	85%	89%	88%	91%	91%	89%	93%	95%	92%	92%	91%	90%
89.0%		90%	85%	82%	90%	84%	90%	96%	93%	96%	89%	90%	90%	82%
82.2%		82%	89%	85%	64%	87%	89%	81%	80%	84%	83%	81%	82%	81%
84.8%		90%	85%	86%	79%	80%	85%	89%	80%	88%	85%	89%	79%	88%
85.9%		96%	90%	86%	89%	83%	94%	89%	88%	87%	75%	86%	79%	75%
79.0%		84%	76%	80%	81%	81%	73%	76%	78%	78%	80%	76%	81%	83%
85.8%		93%	84%	83%	79%	90%	82%	82%	83%	93%	81%	90%	86%	89%
79.8%		79%	78%	79%	84%	77%	74%	77%	85%	83%	79%	84%	78%	80%
85.6%		91%	94%	89%	95%	81%	91%	86%	88%	78%	58%	81%	94%	87%
84.8%		89%	98%	98%	86%	66%	72%	80%	86%	91%	80%	71%	98%	88%
73.5%		70%	70%	71%	78%	66%	76%	78%	71%	75%	80%	71%	79%	71%
76.5%		60%	74%	76%	79%	60%	78%	83%	91%	82%	78%	68%	82%	83%
63.5%		66%	68%	69%	31%	69%	54%	46%	64%	62%	77%	71%	80%	69%
85.2%		93%	82%	82%	88%	75%	92%	92%	90%	89%	95%	82%	73%	75%
83.6%		85%	90%	82%	87%	91%	84%	84%	79%	72%	79%	83%	85%	86%
74.4%		67%	68%	76%	71%	82%	73%	76%	76%	77%	81%	82%	78%	60%
88.2%		84%	94%	89%	90%	93%	91%	80%	89%	88%	88%	84%	88%	88%
87.9%		77%	96%	88%	80%	89%	94%	87%	81%	89%	92%	91%	89%	90%
77.7%		74%	79%	92%	91%	53%	82%	81%	96%	85%	59%	81%	66%	71%
84.9%		88%	85%	88%	75%	89%	84%	86%	88%	86%	78%	86%	84%	87%
74.8%		75%	86%	86%	33%	79%	79%	86%	87%	75%	69%	78%	63%	77%
87.7%		86%	84%	85%	87%	91%	81%	92%	88%	89%	94%	92%	82%	89%
82.7%		85%	87%	91%	86%	84%	76%	82%	68%	86%	85%	79%	82%	84%
70.5%		68%	64%	66%	77%	57%	66%	68%	77%	77%	80%	85%	66%	66%
87.1%		96%	86%	82%	90%	76%	91%	92%	89%	88%	92%	92%	80%	78%
84.4%		76%	77%	80%	92%	62%	96%	85%	93%	98%	97%	76%	73%	92%
79.2%		87%	88%	91%	73%	68%	77%	83%	87%	84%	67%	77%	72%	76%
69.5%		67%	70%	80%	82%	42%	71%	72%	87%	78%	61%	65%	60%	69%
75.0%		71%	72%	72%	79%	82%	83%	70%	70%	77%	75%	72%	75%	77%
84.0%		93%	88%	94%	82%	90%	90%	87%	95%	92%	68%	73%	75%	65%
82.5%		89%	78%	71%	66%	89%	84%	85%	86%	90%	80%	84%	85%	85%
78.8%		82%	77%	88%	80%	73%	83%	86%	84%	86%	70%	84%	66%	65%
90.8%		84%	96%	93%	94%	83%	96%	92%	96%	93%	94%	85%	93%	82%
86.2%		90%	88%	84%	92%	92%	83%	86%	87%	90%	83%	91%	84%	71%
81.2%		79%	79%	79%	81%	73%	78%	78%	79%	81%	86%	76%	96%	91%
83.3%		88%	84%	85%	84%	86%	79%	80%	78%	85%	79%	81%	87%	87%