DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Ajapan C10 - Run c699bec...

Global Dialogues GD4 - Japan (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Demographic Data

AI Safety & Robustness

Instruction Following & Prompt Adherence

Efficiency & Succinctness

Factual Accuracy & Hallucination

Best Models (Coverage)

1.Claude Sonnet 4.5
77.5%
2.Claude 3.7 Sonnet
76.7%
3.Claude Sonnet 4
75.8%
4.GPT 5
75.7%
5.GPT 4.1
75.7%

🔀 Least Similar Models

Claude Sonnet 4.5vsGemini 2.5 Flash

69.7% similarity

👯 Most Similar Models

GPT 4.1 NanovsGPT 4o Mini

90.4% 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		2nd 76.7%	9th 74.0%	3rd 75.8%	1st 77.5%	20th 68.4%	17th 71.5%	11th 73.6%	12th 73.3%	10th 73.7%	5th 75.7%	8th 74.8%	19th 70.1%	7th 75.3%	13th 73.2%	4th 75.7%	6th 75.3%	18th 70.9%	21st 67.5%	15th 71.8%	16th 71.7%	14th 72.5%
64.5%		65%	68%	67%	72%	83%	37%	59%	70%	56%	55%	58%	69%	63%	49%	76%	60%	71%	64%	63%	67%	83%
71.2%		83%	70%	68%	77%	90%	50%	63%	57%	74%	87%	78%	71%	84%	71%	83%	78%	55%	83%	71%	54%	48%
77.7%		79%	79%	87%	88%	59%	86%	84%	67%	68%	72%	85%	76%	78%	81%	82%	79%	67%	75%	76%	81%	82%
77.5%		84%	78%	74%	82%	71%	78%	83%	84%	82%	80%	76%	74%	76%	83%	85%	80%	67%	73%	74%	64%	80%
62.8%		75%	69%	72%	64%	62%	46%	60%	62%	67%	65%	68%	66%	65%	56%	73%	71%	61%	52%	56%	58%	51%
78.7%		92%	82%	77%	97%	56%	77%	78%	75%	90%	78%	77%	70%	90%	88%	87%	90%	56%	48%	75%	80%	89%
62.0%		68%	77%	77%	82%	63%	54%	75%	52%	64%	54%	57%	51%	54%	48%	68%	58%	58%	56%	61%	61%	63%
80.1%		85%	83%	73%	68%	79%	79%	80%	84%	81%	86%	76%	81%	83%	77%	84%	81%	81%	78%	84%	74%	85%
76.1%		80%	84%	76%	67%	69%	70%	73%	82%	77%	78%	81%	82%	69%	79%	64%	79%	82%	83%	75%	79%	69%
70.0%		68%	72%	72%	74%	69%	78%	75%	73%	72%	61%	72%	64%	72%	65%	74%	71%	66%	70%	56%	73%	72%
78.7%		82%	78%	91%	86%	41%	81%	89%	80%	83%	86%	83%	77%	87%	76%	76%	79%	69%	66%	76%	85%	82%
77.7%		81%	83%	94%	85%	79%	80%	75%	71%	75%	81%	82%	61%	79%	75%	80%	84%	75%	67%	74%	67%	84%
79.2%		84%	83%	85%	84%	70%	88%	76%	73%	76%	88%	83%	82%	83%	79%	78%	81%	68%	73%	74%	82%	74%
84.1%		92%	87%	94%	83%	83%	76%	90%	80%	88%	80%	80%	71%	91%	82%	86%	90%	78%	72%	94%	86%	84%
70.4%		78%	61%	65%	72%	46%	66%	74%	81%	72%	78%	66%	73%	71%	73%	65%	77%	74%	70%	64%	79%	74%
62.9%		69%	66%	66%	60%	55%	62%	64%	67%	62%	54%	68%	58%	67%	63%	69%	64%	60%	59%	58%	65%	64%
65.2%		64%	68%	64%	70%	74%	66%	61%	78%	64%	60%	64%	61%	60%	61%	67%	56%	71%	74%	58%	61%	68%
66.7%		67%	69%	55%	69%	70%	64%	59%	69%	70%	63%	60%	67%	69%	69%	67%	72%	63%	69%	69%	68%	72%
68.3%		68%	64%	69%	66%	65%	72%	68%	68%	72%	72%	76%	72%	74%	70%	65%	66%	60%	69%	70%	63%	66%
72.0%		75%	80%	72%	68%	67%	54%	73%	70%	61%	58%	84%	65%	70%	81%	79%	70%	79%	75%	77%	76%	77%
78.0%		82%	79%	82%	80%	78%	72%	84%	75%	84%	80%	76%	73%	80%	72%		79%	70%	72%	87%		77%
75.0%		81%	71%	76%	82%	72%	81%	67%	72%	77%	76%	79%	73%	80%	73%	80%	76%	72%	76%	76%	75%	61%
66.4%		82%	56%	56%	81%	53%	64%	72%	64%	82%	83%	47%	49%	90%	78%	86%	88%	57%	54%	30%	40%	83%
69.5%		76%	71%	77%	71%	55%	64%	68%	77%	75%	73%	68%	70%	81%	56%	61%	74%	64%	75%	71%	66%	67%
60.9%		68%	63%	64%	61%	56%	64%	65%	59%	57%	65%	59%	60%	63%	52%	69%	60%	47%	62%	64%	64%	56%
77.9%		82%	76%	75%	78%	80%	80%	85%	65%	80%	80%	78%	80%	80%	80%	77%	75%	69%	77%	80%	80%	79%
84.1%		85%	84%	87%	87%	89%	84%	84%	79%	79%	82%	79%	79%	89%	79%	90%	89%	82%	88%	84%		82%
75.4%		78%	75%	75%	75%	73%	52%	77%	83%	83%	74%	73%	75%	71%	74%	74%	79%	82%	80%	66%	82%	83%
67.0%		62%	66%	75%	77%	54%	70%	70%	62%	71%	78%	76%	65%	67%	70%	70%	71%	58%	54%	63%	62%	66%
75.2%		73%	68%	78%	57%	68%	88%	91%	76%	77%	85%	88%	76%	73%	86%	73%	73%	77%	48%	84%	72%	69%
75.2%		83%	81%	84%	87%	85%	79%	83%	71%	75%	82%	72%	55%	82%	75%	81%	73%	64%	54%	78%	73%	63%
77.3%		78%	79%	70%	73%	66%	74%	69%	85%	83%	78%	81%	84%	77%	88%	77%	79%	79%	77%	79%	71%	77%
78.8%		91%	84%	77%	95%	84%	74%	70%	63%	73%	83%	86%	80%	73%	73%	75%	86%	84%	73%	67%	87%	77%
72.5%		80%	77%	79%	80%	70%	69%	71%	84%	83%	85%	80%	64%	79%	72%	76%	80%	34%	52%	57%	70%	80%
80.2%		86%	77%	74%	81%	81%	78%	70%	81%	81%	83%	77%	85%	84%	82%	81%	81%	79%	81%	84%	77%	81%
65.3%		70%	70%	70%	69%	69%	72%	70%	63%	68%	67%	58%	61%	69%	64%	60%	67%	66%	57%	62%	50%	69%
67.2%		68%	73%	68%	69%	63%	63%	60%	68%	67%	65%	60%	73%	69%	68%	73%	67%	68%	65%	72%	65%	68%
50.8%		54%	43%	58%	58%	54%	34%	54%	51%	34%	57%	59%	41%	54%	51%	54%	59%	56%	51%	47%	41%	57%
79.3%		79%	85%	85%	73%	79%	84%	78%	79%	78%	85%	84%	86%	78%	75%	68%	73%	81%	77%	79%	77%	83%
71.0%		67%	67%	72%	69%	70%	61%	59%	71%	52%	77%	87%	68%	72%	79%	88%	84%	69%	60%	74%	68%	76%
74.4%		74%	82%	78%	75%	60%	74%	81%	85%	72%	69%	78%	73%	79%	82%	70%	72%	77%	74%	70%	83%	54%
64.1%		71%	67%	71%	71%	60%	71%	68%	69%	56%	57%	68%	68%	52%	54%	56%	58%	68%	44%	73%	71%	73%
83.3%		85%	89%	86%	92%	71%	83%	89%	89%	86%	76%	89%	75%	80%	86%	89%	91%	87%	77%	80%	80%	69%
73.1%		69%	66%	76%	67%	85%	72%	83%	87%	71%	80%	61%	67%	77%	72%	58%	60%	75%	91%	68%	89%	62%
81.9%		92%	88%	88%	90%	77%	76%	86%	85%	83%	83%	84%	80%	81%	70%	86%	86%	72%	66%	81%	77%	89%
59.4%		68%	46%	59%	69%	71%	75%	60%	62%	60%	53%	54%	59%	60%	54%	69%	67%	55%	51%	59%	54%	43%
73.4%		89%	78%	85%	88%	89%	68%	80%	65%	68%	76%	62%	54%	74%	62%	76%	76%	74%	64%	67%	77%	70%
88.1%		89%	91%	84%	69%	98%	91%	93%	92%	97%	93%	89%	100%	84%	90%	77%	76%	77%	96%	93%	84%	87%
83.6%		84%	88%	88%	73%	80%	88%	82%	86%	87%	78%	90%	93%	77%	80%	81%	82%	78%	77%	84%	94%	86%
69.3%		65%	59%	74%	80%	71%	80%	74%	63%	69%	76%	73%	67%	80%	75%	76%	78%	49%	51%	67%		60%
76.4%		85%	68%	79%	79%	80%	82%	76%	71%	71%	88%	83%	66%	84%	77%	75%	85%	76%	74%	77%	51%	77%
66.5%		71%	65%	61%	67%	72%	61%	66%	63%	66%	72%	55%	48%	67%	63%	73%	74%	73%	70%	57%	77%	76%
67.5%		70%	74%	70%	70%	84%	58%	56%	71%	68%	66%	67%	57%	63%	68%	78%	68%	72%	61%	74%	69%	53%
70.6%		81%	76%	72%	81%	58%	70%	84%	82%	75%	83%	73%	72%	78%	72%	81%	53%	46%	50%	60%	82%	54%
78.3%		81%	77%	75%	90%	64%	80%	68%	80%	76%	75%	88%	82%	85%	83%	81%	78%	79%	80%	78%	62%	83%
83.0%		83%	83%	84%	87%	55%	82%	83%	87%	86%	86%	84%	86%	89%	83%	88%	87%	83%	84%	74%		87%
64.6%		73%	59%	66%	59%	70%	56%	53%	65%	72%	78%	58%	30%	69%	69%	81%	85%	76%	60%	52%	66%	59%
80.9%		87%	82%	82%	87%	85%	85%	78%	78%	77%	85%	81%	80%	84%	76%	83%	78%	85%	74%	71%	74%	87%
72.4%		82%	74%	78%	82%	67%	62%	75%	78%	76%	80%	79%	56%	76%	69%	76%	83%	72%	48%	61%	68%	79%
75.4%		78%	77%	83%	81%	81%	67%	83%	81%	73%	81%	77%	66%	74%	75%	79%	76%	69%	61%	74%	68%	79%
72.7%		75%	78%	72%	72%	60%	61%	78%	76%	77%	75%	73%	73%	67%	72%	77%	73%	75%	75%	71%	78%	69%
81.7%		84%	92%	77%	80%	76%	63%	75%	86%	90%	77%	75%	88%	87%	75%	82%	87%	93%	85%	79%	93%	72%
83.6%		69%	92%	80%	84%	78%	75%	75%	77%	82%	82%	92%	94%	84%	95%	91%	93%	88%	70%	86%	91%	78%
84.3%		88%	81%	85%	90%	54%	92%	85%	85%	89%	88%	87%	74%	83%	84%	89%	86%	89%	78%	86%	88%	89%
70.2%		87%	64%	71%	83%	61%	72%	71%	72%	66%	75%	55%	55%	68%	80%	86%	85%	58%	50%	76%	60%	80%
49.4%		55%	43%	58%	58%	27%	60%	46%	40%	35%	61%	55%	54%	57%	55%	61%	51%	49%	37%	54%	41%	40%
62.3%		66%	65%	75%	75%	50%	62%	69%	61%	54%	71%	65%	59%	67%	59%	60%	64%	63%	39%	61%	59%	64%
69.4%		75%	74%	73%	73%	68%	68%	69%	65%	64%	71%	75%	60%	72%	72%	74%	68%	74%	61%	69%	64%	69%
69.5%		64%	65%	71%	68%	77%	68%	66%	64%	70%	77%	67%	70%	65%	58%	74%	76%	74%	58%	73%	73%	82%
67.4%		62%	77%	73%	62%	52%	70%	60%	47%	62%	62%	82%	62%	61%	75%	71%	66%	64%	77%	69%	77%	84%
79.1%		73%	82%	73%	77%	85%	78%	78%	83%	84%	73%	81%	84%	74%	78%	80%	76%	85%	78%	83%	84%	73%
69.0%		71%	64%	63%	79%	57%	64%	70%	70%	72%	73%	74%	62%	64%	70%	71%	74%	69%	62%	68%	71%	81%
74.9%		75%	76%	75%	75%	47%	77%	75%	80%	69%	59%	72%	81%	74%	81%	78%	80%	82%	85%	81%	79%	72%
71.2%		76%	67%	78%	77%	81%	59%	67%	66%	78%	81%	68%	51%	80%	74%	79%	82%	60%	68%	52%	70%	82%
69.9%		72%	63%	81%	70%	66%	74%	76%	72%	68%	81%	70%	55%	76%	63%	62%	69%	73%	73%	67%	69%	68%
51.6%		53%	53%	61%	70%	29%	63%	58%	45%	42%	36%	51%	55%	49%	58%	58%	62%	47%	47%	51%	42%	54%
81.5%		88%	89%	93%	89%	56%	88%	84%	79%	79%	88%	83%	79%	89%	85%	82%	85%	76%	69%	76%	75%	79%
80.8%		83%	81%	90%	89%	61%	82%	86%	81%	88%	89%	84%	75%	83%	88%	76%	77%	59%	74%	92%	89%	70%
72.8%		79%	76%	75%	83%	49%	78%	69%	68%	75%	78%	71%	67%	77%	71%	80%	74%	69%	69%	72%	71%	78%
76.6%		83%	78%	76%	78%	70%	80%	74%	79%	78%	74%	82%	78%	78%	77%	84%	74%	80%	70%	80%	61%	75%
88.3%		93%	95%	93%	98%	84%	86%	97%	92%	93%	84%	89%	87%	88%	88%	86%	85%	95%	74%	87%	94%	66%
60.8%		57%	64%	70%	78%	72%	66%	62%	51%	58%	65%	67%	59%	62%	66%	61%	59%	51%	34%	62%	61%	51%
64.5%		61%	60%	68%	69%	34%	77%	68%	63%	59%	59%	73%	72%	68%	77%	65%	61%	68%	52%	77%		60%
87.2%		87%	93%	88%	87%	87%	90%	84%	89%	92%	92%	83%	90%	77%	85%	78%	89%	90%	89%	81%	90%	91%
72.4%		74%	70%	71%	82%	71%	76%	71%	75%	79%	74%	75%	40%	81%	67%	73%	71%	76%	65%	67%	82%	81%
80.5%		87%	83%	76%	90%	53%	88%	80%	75%	85%	88%	70%	76%	88%	81%	86%	86%	79%	70%	81%	74%	94%
68.7%		70%	68%	80%	74%	65%	74%	79%	69%	70%	71%	74%	65%	63%	70%	65%	64%	70%	41%	74%	72%	65%
79.3%		83%	88%	76%	86%	88%	77%	72%	83%	80%	83%	79%	73%	83%	80%	78%	83%	71%	58%	80%	85%	80%
77.1%		81%	83%	84%	81%	78%	71%	77%	81%	78%	83%	78%	59%	81%	72%	84%	80%	63%	72%	87%	78%	68%
72.4%		70%	76%	84%	69%	85%	65%	77%	77%	69%	78%	78%	77%	71%	72%	57%	57%	69%	71%	79%	74%	65%
78.8%		86%	77%	80%	83%	77%	70%	80%	77%	78%	75%	83%	82%	76%	82%	86%	82%	78%	77%	77%	63%	86%
81.7%		91%	75%	72%	94%	87%	64%	88%	85%	87%	96%	76%	81%	81%	63%	96%	91%	79%	84%	80%	61%	84%
66.3%		68%	82%	68%	75%	29%	63%	62%	64%	63%	64%	68%	76%	74%	76%	64%	65%	58%	77%	78%	64%	55%
68.1%		65%	70%	88%	82%	58%	66%	74%	63%	80%	80%	68%	63%	71%	71%	56%	62%	54%	61%	67%	72%	59%
70.5%		66%	73%	77%	69%	76%	79%	75%	79%	73%	67%	68%	73%	75%	73%	64%	65%	67%	53%	73%	67%	68%
69.6%		77%	62%	59%	73%	69%	68%	45%	77%	64%	68%	80%	67%	71%	72%	78%	68%	76%	75%	65%	69%	78%
73.9%		79%	62%	90%	91%	36%	66%	71%	67%	65%	91%	85%	77%	72%	72%	91%	90%	73%	68%	68%	60%	78%
82.1%		85%	75%	87%	87%	54%	95%	87%	75%	75%	71%	84%	90%	74%	94%	92%	86%	90%	87%	85%	77%	75%
69.0%		78%	71%	72%	77%	75%	50%	71%	69%	71%	73%	74%	63%	75%	63%	83%	77%	54%	76%	60%	55%	62%
83.8%		87%	85%	91%	85%	87%	86%	84%	90%	86%	81%	91%	76%	86%	76%	82%	84%	89%	71%	86%	83%	73%
57.7%		62%	54%	58%	80%	26%	63%	52%	62%	59%	64%	55%	49%	53%	56%	57%	62%	71%	62%	47%	51%	69%
78.6%		73%	78%	75%	78%	80%	70%	72%	80%	84%	80%	78%	85%	80%	80%	79%	82%	82%	80%	77%	80%	77%
76.7%		82%	76%	79%	77%	79%	73%	78%	80%	80%	71%	76%	76%	66%	78%	83%	78%	68%	69%	82%	81%	79%
86.0%		82%	94%	82%	93%	83%	64%	79%	94%	82%	93%	98%	100%	93%	87%	82%	83%	86%	83%	90%	94%	65%
75.5%		66%	67%	85%	80%	77%	78%	80%	78%	69%	92%	82%	81%	79%	80%	80%	77%	67%	49%	75%	73%	70%
77.2%		91%	52%	74%	84%	82%	72%	83%	82%	86%	83%	78%	76%	83%	74%	72%	67%	78%	72%	75%	80%	77%
71.9%		82%	76%	73%	73%	84%	60%	71%	71%	80%	82%	84%	57%	84%	65%	76%	78%	75%	23%	66%	68%	82%
74.6%		89%	76%	81%	88%	71%	50%	81%	71%	78%	84%	77%	75%	89%	80%	73%	86%	53%	75%	75%	63%	51%
64.6%		67%	66%	62%		72%	73%	64%	70%	62%	68%	68%	68%	67%	62%	63%	61%	60%	59%	70%	60%	51%
76.0%		77%	79%	73%	77%	72%	83%	76%	77%	77%	78%	80%	64%	77%	69%	84%	78%	80%	70%	77%	74%	73%
67.8%		71%	70%	63%	62%	63%	71%	62%	64%	73%	58%	77%	63%	70%	68%	71%	65%	71%	67%	69%	69%	77%
76.3%		83%	82%	76%	74%	81%	64%	71%	73%	81%	81%	75%	62%	81%	82%	82%	85%	84%	75%	56%	79%	75%
80.1%		80%	77%	85%	80%	71%	80%	80%	77%	86%	82%	82%	80%	82%	75%	79%	82%	87%	81%	79%	78%	80%
78.5%		82%	83%	84%	83%	44%	86%	80%	80%	77%	77%	82%	76%	88%	78%	77%	80%	80%	76%	78%	73%	84%
65.8%		62%	61%	73%	69%	70%	68%	70%	56%	65%	82%	62%	38%	71%	68%	73%	65%	71%	66%	42%	73%	77%
81.0%		79%	85%	79%	79%	86%	80%	82%	76%	80%	79%	85%	87%	86%	82%	78%	84%	76%	82%	78%	77%	82%

Model Similarity Dendrogram

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