DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Akorea South C10 - Run dbd75f0...

Global Dialogues GD4 - Korea South (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Problem solving

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4
75.7%
2.Claude Sonnet 4.5
75.1%
3.Claude 3.7 Sonnet
74.8%
4.GPT 5
74.3%
5.GPT 4.1
73.5%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

74.2% similarity

👯 Most Similar Models

Claude Sonnet 4vsLlama 4 Maverick

92.2% similarity

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Macro Coverage Overview

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

Pro Tip

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Color Scale - Simplified View (Avg. Coverage)

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Not Met

	Prompts vs. Models	Claude 3.7 Sonnet	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Large 2411	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o	GPT 4o Mini	GPT 5	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 32b	Grok 4.1 Fast
Score		3rd 74.8%	6th 73.0%	1st 75.7%	2nd 75.1%	21st 65.3%	17th 69.5%	9th 72.8%	11th 72.6%	13th 70.9%	5th 73.5%	10th 72.6%	19th 66.4%	7th 72.8%	12th 71.5%	4th 74.3%	8th 72.8%	18th 68.6%	20th 65.3%	14th 70.3%	16th 70.0%	15th 70.0%
76.5%		83%	81%	81%	100%	88%	50%	65%	80%	69%	73%	66%	79%	83%	54%	75%	79%	78%	80%	79%	64%	100%
73.0%		80%	64%	77%	77%	69%	46%	67%	71%	77%	77%	80%	81%	79%	67%	71%	78%	74%	78%	64%	78%	78%
74.8%		74%	73%	77%	86%	76%	73%	78%	70%	64%	90%	80%	70%	77%	76%	80%	72%	64%	63%	67%	70%	91%
66.8%		74%	64%	67%	71%	71%	69%	71%	66%	63%	76%	67%	64%	67%	63%	71%	65%	55%	61%	67%		63%
67.8%		83%	68%	72%	73%	73%	60%	72%	72%	67%	74%	64%	57%	76%	56%	75%	64%	60%	55%	58%	64%	81%
77.9%		80%	85%	85%	86%	57%	81%	84%	85%	80%	80%	84%	52%	89%	84%	82%	80%	75%	61%	80%	61%	85%
69.5%		84%	76%	83%	95%	80%	58%	84%	57%	67%	62%	62%	53%	54%	64%	76%	73%	49%		62%	76%	76%
73.0%		74%	77%	80%	71%	50%	74%	73%	79%	69%	71%	77%	67%	82%	77%	84%	77%	69%	63%	79%	74%	67%
75.9%		79%	88%	76%	79%	46%	80%	80%	90%	83%	68%	72%	85%	85%	80%	45%	85%	77%	77%	80%	60%	79%
71.8%		69%	76%	76%	61%	13%	84%	76%	85%	64%	66%	74%	79%	85%	88%	66%	52%	85%	82%	88%	86%	52%
67.2%		65%	69%	74%	71%	41%	81%	72%	71%	62%	68%	72%	54%	70%	71%	74%	70%	57%	62%	70%		70%
66.1%		64%	69%	72%	72%	71%	67%	63%	66%	67%	72%	77%	41%	66%	64%	69%	65%	53%	67%	69%	67%	67%
66.7%		71%	62%	72%	71%	65%	66%	70%	70%	62%	74%	71%	64%	71%	69%	64%	70%	63%	62%	68%	65%	50%
72.3%		80%	77%	83%	72%	68%	72%	78%	45%	75%	67%	77%	65%	75%	74%	76%	77%	70%	64%	68%	78%	77%
43.2%		43%	40%	36%	37%	5%	37%	49%	49%	43%	52%	42%	47%	49%	46%	60%	52%	38%	37%	47%	39%	60%
82.5%		86%	87%	88%	71%	68%	79%	87%	90%	86%	68%	87%	83%	90%	83%	76%	72%	89%	85%	83%	88%	86%
72.8%		71%	73%	73%	71%	79%	77%	69%	88%	71%	74%	77%	70%	69%	73%	61%	67%	64%	81%	69%	73%	79%
75.6%		83%	76%	73%	73%	76%	82%	73%	75%	69%	76%	68%	67%	80%	68%	82%	76%	77%	75%	82%	77%	80%
53.0%		59%	54%	57%	54%	22%	64%	51%	48%	51%	64%	64%	51%	59%	59%	53%	60%	32%	56%	64%	40%	52%
66.2%		74%	63%	72%	67%	67%	61%	67%	63%	67%	67%	59%	71%	66%	68%	68%	66%	63%	64%	71%	63%	63%
76.3%		67%	76%	68%	73%	78%	86%	68%	82%	77%	76%	75%	89%	76%	68%	83%	76%	77%	77%	77%	73%	80%
79.6%		80%	85%	80%	74%	53%	85%	76%	82%	81%	80%	81%	78%	73%	85%	81%	86%	81%	76%	84%	89%	82%
77.1%		83%	84%	88%	85%	35%	83%	92%	80%	86%	70%	58%	45%	90%	92%	84%	85%	76%	77%	52%	84%	90%
54.0%		62%	60%	62%	54%	66%	46%	54%	56%	60%	68%	48%	46%	62%	41%	43%	56%	67%	53%	45%	41%	44%
64.1%		67%	64%	63%	68%	59%	62%	60%	59%	62%	67%	68%	64%	69%	51%	74%	68%	69%	63%	60%	74%	56%
67.7%		74%	88%	81%	74%	61%	61%	69%	63%	61%	77%	61%	73%	61%	61%	75%	69%	61%	67%	61%	61%	62%
74.0%		80%	74%	80%	80%	75%	68%	76%	74%	72%	82%	69%	66%	76%	68%	82%	78%	66%	67%	76%	68%	76%
79.6%		90%	88%	87%	87%	78%	55%	84%	83%	83%	80%	75%	74%	79%	82%	91%	85%	79%	67%	78%	82%	64%
71.5%		76%	74%	75%	74%	62%	79%	79%	68%	74%	82%	82%	67%	74%	73%	76%	72%	56%	51%	70%	66%	71%
78.3%		84%	78%	77%	77%	73%	63%	91%	78%	75%	79%	66%	88%	78%	77%	80%	78%	84%	82%	91%	73%	73%
66.5%		64%	71%	65%	66%	49%	74%	71%	76%	74%	65%	71%	47%	72%	71%	72%	70%	68%	49%	76%	63%	63%
70.6%		71%	68%	81%	80%	72%	67%	69%	71%	76%	81%	72%	52%	71%	72%	72%	78%	60%	51%	75%	80%	64%
54.4%		71%	50%	54%	69%	69%	43%	50%	47%	53%	60%	39%	53%	50%	50%	60%	72%	45%	57%	42%	57%	52%
78.9%		85%	85%	83%	76%	76%	78%	89%	85%	84%	80%	89%	75%	83%	75%	87%	82%	82%	50%	75%	92%	46%
74.9%		75%	80%	82%	81%	82%	75%	70%	77%	79%	69%	75%	62%	75%	75%	76%	63%	75%	71%	73%	75%	82%
62.2%		63%	67%	72%	74%	75%	67%	56%	69%	62%	72%	56%	44%	69%	70%	66%	66%	37%	48%	62%	45%	67%
77.5%		78%	74%	87%	79%	70%	85%	74%	71%	81%	86%	78%	68%	79%	85%	87%	81%	64%	70%	85%		67%
67.0%		59%	59%	77%	65%	92%	57%	59%	67%	49%	71%	73%	57%	48%	70%	79%	73%	67%	84%	67%	62%	73%
58.4%		59%	63%	64%	66%	47%	60%	63%	62%	62%	63%	64%	53%	64%	63%	59%	60%	51%	35%	57%	55%	56%
52.3%		50%	51%	51%	46%	62%	46%	47%	57%	43%	60%	67%	49%	43%	51%	71%	66%	47%	45%	47%	49%	51%
77.6%		70%	89%	76%	71%	59%	82%	89%	88%	82%	62%	76%	68%	84%	83%	71%	68%	83%	83%	80%	90%	76%
71.2%		77%	85%	84%	77%	52%	89%	84%	72%	72%	60%	71%	86%	60%	59%	75%	71%	52%	52%	75%	68%	75%
76.1%		84%	78%	74%	74%	76%	65%	70%	76%	82%	63%	78%	84%	78%	78%	82%	88%	84%	69%	65%	78%	72%
67.7%		65%	70%	73%	71%	73%	65%	75%	73%	64%	71%	59%	63%	70%	67%	54%	52%	66%	81%	76%	62%	71%
71.3%		79%	73%	77%	77%	70%	73%	73%	79%	61%	72%	82%	67%	72%	70%	77%	71%	67%	64%	77%	60%	57%
75.2%		73%	62%	78%	78%	80%	65%	78%	83%	75%	78%	77%	79%	73%	79%	81%	80%	74%	69%	80%	74%	63%
72.2%		76%	76%	75%	68%	71%	69%	76%	76%	76%	65%	67%	64%	75%	63%	74%	75%	74%	64%	76%	78%	78%
92.2%		97%	92%	92%	88%	93%	79%	88%	93%	98%	97%	88%	93%	98%	97%	92%	79%	97%	97%	88%	97%	93%
86.7%		90%	94%	83%	82%	54%	93%	72%	88%	100%	76%	93%	90%	83%	100%	90%	93%	90%	84%	90%	93%	82%
72.7%		72%	69%	77%	73%	73%	80%	68%	57%	69%	81%	84%	57%	73%	80%	77%	76%	65%	72%	75%	76%	73%
75.2%		73%	77%	81%	72%	81%	75%	80%	74%	77%	75%	73%	57%	74%	82%	76%	81%	78%	72%	77%	69%	76%
62.6%		76%	62%	94%	83%	31%	45%	74%	60%	56%	68%	44%	49%	71%	47%	68%	69%	71%	59%	55%	59%	74%
74.3%		83%	79%	93%	89%	72%	53%	71%	82%	76%	79%	77%	70%	77%	47%	77%	77%	57%	82%	77%	85%	58%
65.6%		66%	68%	72%	64%	56%	72%	66%	69%	64%	78%	66%	71%	67%	66%	64%	69%	41%	61%	62%	66%	69%
75.0%		75%	76%	72%	76%	72%	72%	72%	80%	75%	76%	79%	76%	70%	81%	77%	67%	72%	77%	81%	75%	73%
72.2%		79%	76%	77%	77%	63%	69%	74%	75%	74%	71%	68%	68%	77%	68%	74%	71%	74%	74%	68%	68%	72%
63.5%		72%	60%	73%	56%	31%	48%	61%	78%	79%	73%	71%	32%	65%	65%	92%	90%	56%	62%	52%	72%	46%
70.5%		74%	72%	79%	79%	47%	83%	82%	68%	58%	70%	82%	66%	74%	82%	74%	70%	66%	57%	73%	63%	61%
59.1%		65%	63%	63%	77%	71%	41%	60%	62%	59%	76%	65%	36%	65%	43%	71%	72%	60%	44%	51%	43%	55%
64.2%		62%	65%	70%	70%	59%	75%	73%	67%	57%	62%	83%	59%	62%	73%	64%	67%	44%	44%	59%	68%	65%
75.9%		76%	75%	92%	90%	46%	80%	78%	82%	72%	83%	76%	71%	76%	66%	86%	68%	78%	71%	78%	64%	86%
82.7%		93%	100%	90%	91%	74%	60%	76%	92%	88%	89%	68%	90%	91%	62%	89%	93%	89%	81%	76%		61%
76.4%		87%	65%	87%	87%	94%	82%	87%	94%	87%	87%	70%	58%	84%	70%	82%	74%	69%	67%	75%	58%	41%
82.9%		92%	79%	83%	87%	65%	86%	84%	85%	90%	86%	84%	64%	84%	94%	90%	84%	89%	80%	85%	82%	68%
73.7%		75%	77%	76%	74%	59%	78%	77%	77%	85%	77%	76%	62%	80%	65%	72%	80%	74%	68%	78%	60%	77%
67.0%		69%	69%	76%	71%	50%	80%	67%	73%	59%	77%	68%	76%	68%	72%	64%	64%	68%	51%	68%	59%	57%
78.6%		87%	86%	89%	74%	67%	76%	84%	82%	78%	74%	84%	80%	87%	85%	72%	82%	74%	66%	80%	77%	67%
71.8%		75%	77%	75%	73%	71%	80%	74%	69%	66%	75%	82%	62%	74%	69%	70%	71%	65%	75%	57%	74%	73%
64.7%		57%	63%	64%	66%	65%	65%	66%	66%	64%	58%	76%	67%	57%	61%	75%	75%	65%	57%	60%	66%	65%
89.3%		95%	90%	98%	88%	88%	90%	91%	81%	87%	81%	85%	94%	95%	96%	95%	95%	91%	75%	88%	91%	81%
72.5%		70%	70%	70%	70%	45%	77%	79%	78%	78%	71%	70%	80%	74%	78%	78%	79%	70%	73%	78%	70%	64%
69.8%		72%	69%	69%	68%	37%	74%	76%	76%	74%	62%	72%	73%	72%	74%	73%	64%	70%	69%	77%	71%	73%
75.4%		75%	76%	77%	79%	74%	73%	66%	81%	76%	81%	74%	73%	79%	77%	73%	79%	71%	74%	75%	75%	75%
71.9%		83%	75%	81%	70%	66%	58%	75%	70%	79%	76%	69%	52%	77%	79%	81%	72%	79%	66%	54%	67%	81%
72.2%		80%	71%	79%	81%	57%	76%	73%	68%	58%	81%	73%	73%	73%	73%	76%	81%	61%	64%	74%	64%	80%
67.1%		76%	64%	80%	80%	47%	80%	83%	67%	58%	56%	74%	78%	64%	76%	58%	61%	63%	58%	74%	69%	44%
63.3%		58%	66%	69%	72%	44%	78%	66%	64%	58%	76%	60%	59%	60%	69%	66%	54%	56%	60%	67%	62%	65%
77.3%		83%	76%	78%	90%	85%	54%	80%	80%	80%	79%	64%	68%	83%	70%	85%		84%	81%	72%	80%	73%
73.8%		78%	79%	78%	83%	62%	76%	71%	74%	72%	73%	71%	74%	74%	71%	77%	73%	80%	69%	76%	65%	74%
71.7%		69%	70%	69%	72%	73%	69%	69%	73%	70%	72%	73%	73%	73%	74%	73%	73%	71%	74%	70%	74%	71%
84.5%		85%	95%	85%	85%	89%	81%	85%	94%	94%	77%	94%	82%	91%	81%	82%	78%	94%	80%	69%	94%	59%
64.7%		62%	64%	75%	82%	75%	72%	64%	60%	60%	64%	75%	55%	64%	75%	68%	61%	55%	51%	67%	55%	55%
63.8%		63%	67%	67%	67%	42%	76%	70%	66%	58%	62%	64%	59%	63%	76%	58%	62%	65%	52%	72%	67%	63%
85.6%		94%	90%	81%	86%	90%	90%	81%	80%	90%	100%	81%	83%	80%	84%	92%	87%	86%	67%	87%	87%	81%
65.4%		61%	69%	76%	60%	72%	74%	76%	62%	72%	55%	66%	62%	62%	79%	58%	69%	65%	47%	64%	72%	53%
71.6%		77%	71%	79%	80%	48%	81%	72%	75%	69%	74%	72%	61%	77%	72%	70%	70%	75%	68%	73%		69%
67.2%		72%	69%	72%	75%	64%	82%	75%	58%	67%	67%	74%	50%	63%	70%	63%	63%	63%	49%	82%	76%	57%
66.4%		62%	89%	64%	64%	41%	75%	76%	59%	72%	74%	77%	64%	72%	83%	52%	67%	64%	50%	79%	58%	52%
65.2%		71%	70%	78%	76%	98%	53%	71%	77%	64%	67%	68%	22%	71%	62%	64%	69%	66%	34%	64%	64%	60%
82.8%		91%	91%	95%	80%	95%	82%	86%	85%	70%	89%	89%	75%	79%	72%	68%	75%	80%	82%	84%	91%	80%
53.6%		62%	53%	51%	52%	65%	39%	53%	51%	55%	50%	58%	56%	56%	58%	55%	58%	53%	73%	48%	18%	62%
62.3%		64%	75%	85%	75%	72%	36%	59%	53%	58%	63%	78%	49%	62%	45%	80%	81%	34%	56%	51%	45%	88%
65.5%		70%	71%	66%	68%	31%	77%	65%	67%	67%	67%	67%	74%	67%	70%	63%	60%	67%	66%	65%	78%	50%
71.6%		75%	71%	86%	77%	64%	59%	75%	64%	72%	85%	76%	68%	72%	80%	67%	71%	71%	59%	67%	80%	65%
66.0%		65%	67%	79%	75%	58%	75%	73%	67%	64%	65%	75%	69%	62%	75%	67%	60%	47%	46%	74%	56%	67%
87.0%		94%	84%	87%	87%	91%	88%	77%	92%	82%	93%	89%	88%	83%	86%	90%	96%	72%	83%	90%	81%	94%
62.2%		57%	49%	63%	78%	38%	64%	56%	61%	47%	86%	69%	65%	61%	69%	81%	59%	63%	51%	62%	58%	70%
69.1%		76%	65%	76%	76%	41%	78%	79%	73%	65%	71%	71%	75%	71%	80%	65%	68%	65%	60%	67%	68%	61%
79.2%		82%	84%	84%	86%	86%	50%	82%	80%	80%	77%	82%	83%	82%	68%	83%	80%	83%	81%	73%	77%	80%
72.8%		78%	75%	78%	75%	81%	67%	71%	65%	60%	80%	80%	62%	82%	68%	75%	75%	71%	53%	65%	74%	93%
59.2%		60%	51%	60%	70%	31%	62%	51%	64%	54%	75%	54%	57%	60%	55%	61%	66%	61%	66%	52%	63%	70%
79.3%		83%	79%	78%	78%	83%	66%	78%	83%	79%	79%	76%	66%	78%	85%	88%	84%	82%	88%	72%	79%	82%
76.9%		84%	81%	77%	92%	91%	75%	81%	81%	81%	66%	70%	91%	62%	71%	81%	71%	70%	40%	85%	75%	89%
63.8%		79%	70%	66%	66%	51%	32%	48%	68%	52%	68%	66%	70%	70%	66%	85%	71%	69%	63%	45%	74%	60%
76.3%		82%	79%	85%	85%	73%	66%	80%	79%	79%	86%	75%	63%	77%	74%	81%	79%	79%	59%	67%	76%	79%
76.7%		76%	77%	56%	72%	50%	80%	76%	85%	86%	89%	77%	80%	86%	85%	85%	83%	79%	72%	80%	62%	74%
68.7%		86%	70%	54%	70%	83%	44%	73%	57%	85%	85%	70%	57%	53%	61%	80%	67%	54%	71%	54%	95%	73%
67.7%		73%	65%	75%	85%	77%	41%	60%	69%	72%	83%	77%	62%	76%	73%	69%	69%	76%	24%	73%	55%	68%
70.9%		76%	70%	73%	72%	80%	82%	73%	70%	70%	66%	73%	65%	75%	85%	68%	66%	65%	61%	75%	61%	63%
79.9%		89%	79%	74%	85%	85%	75%	74%	73%	82%	70%	78%	82%	79%	79%	80%	83%	86%	83%	65%	90%	87%
84.4%		81%	81%	85%	85%	88%	91%	91%	88%	81%	76%	85%	88%	88%	88%	85%	81%	76%	75%	81%	84%	94%
75.2%		76%	78%	78%	78%	66%	60%	75%	76%	82%	84%	75%	46%	84%	63%	88%	85%	83%	82%	64%	84%	73%
62.4%		70%	58%	65%	58%	61%	58%	65%	66%	66%	65%	61%	61%	61%	59%	65%	66%	65%	60%	62%	61%	58%
85.9%		90%	86%	90%	97%	86%	90%	92%	86%	80%	70%	97%	88%	85%	90%	90%	86%	85%	72%	88%	70%	85%
66.0%		69%	63%	63%	64%	88%	71%	71%	59%	67%	67%	63%	39%	62%	58%	79%	63%	73%	50%	43%	82%	93%
74.2%		73%	63%	80%	78%	65%	82%	74%	68%	65%	79%	83%	71%	76%	77%	84%	71%	70%	74%	76%	73%	76%

Model Similarity Dendrogram

Hierarchical clustering of models based on response similarity. Models grouped closer are more similar.