DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Aaustralia C10 - Run 2ca11f6...

Global Dialogues GD4 - Australia (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

AI Safety & Robustness

Demographic Data Analysis

Social interaction

Human AI Interaction

Best Models (Coverage)

1.Claude Sonnet 4.5
70.3%
2.Claude Sonnet 4
69.8%
3.Claude Haiku 4.5
69.5%
4.GPT 5.1
69.0%
5.Llama 4 Maverick
68.6%

🔀 Least Similar Models

Claude Sonnet 4.5vsMistral Large 2411

65.7% similarity

👯 Most Similar Models

GPT 4.1vsGPT 4o

94.6% similarity

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Macro Coverage Overview

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

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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		6th 68.3%	3rd 69.5%	2nd 69.8%	1st 70.3%	20th 62.9%	19th 63.0%	5th 68.6%	15th 66.0%	11th 67.0%	9th 67.9%	8th 68.2%	18th 63.8%	10th 67.7%	16th 65.1%	7th 68.2%	4th 69.0%	14th 66.1%	21st 62.9%	17th 65.1%	13th 66.1%	12th 66.6%
88.9%		87%	100%	87%	87%	100%	84%	100%	82%	92%	73%	100%	90%	88%	88%	90%	91%	82%	90%	91%	87%	77%
69.6%		76%	60%	63%	76%	90%	44%	57%	62%	71%	90%	72%	63%	81%	66%	85%	85%	71%	52%	66%	66%	66%
77.5%		78%	81%	81%	91%	68%	74%	78%	78%	78%	82%	82%	72%	91%	72%	79%	81%	73%	72%	72%	72%	72%
56.9%		54%	60%	58%	55%	55%	55%	56%	54%	54%	60%	62%	54%	67%	55%	53%	56%	65%	49%	54%	56%	63%
51.1%		62%	50%	57%	65%	61%	35%	51%	48%	52%	57%	45%	44%	57%	44%	55%	52%	47%	37%	47%	51%	57%
75.1%		68%	80%	80%	75%	40%	77%	87%	80%	80%	75%	75%	80%	75%	77%	68%	77%	80%	75%	75%	78%	76%
76.6%		88%	79%	88%	88%	78%	70%	79%	66%	66%	66%	75%	78%	78%	66%	78%	88%	66%	78%	78%	78%	78%
70.6%		75%	70%	79%	66%	71%	64%	75%	70%	66%	77%	69%	76%	77%	66%	73%	72%	69%	65%	77%	52%	74%
73.9%		76%	80%	76%	72%	73%	68%	72%	75%	82%	79%	82%	66%	66%	82%	75%	74%	76%	74%	76%	78%	50%
70.6%		56%	79%	76%	73%	60%	74%	76%	78%	67%	60%	80%	80%	67%	81%	56%	68%	79%	51%	73%	73%	75%
58.1%		58%	59%	61%	61%	48%	58%	59%	62%	60%	53%	61%	60%	57%	58%	58%	65%	56%	64%	60%	48%	55%
43.8%		57%	50%	48%	52%	50%	55%	38%	33%	38%	42%	50%	28%	42%	50%	50%	55%	33%	35%	47%	33%	33%
70.4%		73%	69%	69%	66%	69%	69%	75%	71%	80%	73%	73%	73%	73%	69%	62%	70%	69%	69%	67%	75%	64%
73.1%		73%	82%	79%	87%	72%	68%	73%	63%	73%	72%	82%	68%	72%	68%	82%	82%	76%	40%	79%	73%	72%
59.5%		71%	62%	68%	61%	42%	57%	59%	66%	62%	80%	62%	58%	55%	58%	53%	67%	50%	64%	63%	42%	49%
49.0%		44%	47%	47%	54%	74%	29%	38%	51%	53%	74%	49%	34%	54%	49%	63%	60%	36%	47%	34%		43%
83.0%		88%	90%	94%	88%	88%	85%	81%	78%	77%	78%	85%	81%	81%	73%	78%	86%	77%	85%	83%	78%	88%
75.4%		82%	75%	63%	82%	83%	61%	84%	76%	71%	88%	85%	69%	77%	67%	82%	86%	77%	53%	82%		65%
77.2%		80%	83%	83%	87%	72%	80%	74%	72%	69%	100%	77%	72%	83%	80%	81%	80%	69%	65%	75%	75%	65%
87.0%		82%	91%	89%	95%	81%	79%	89%	89%	89%	88%	74%	90%	89%	81%	95%	81%	100%	78%	82%	90%	95%
64.0%		65%	67%	65%	72%	61%	56%	74%	65%	60%	69%	65%	57%	72%	50%	59%	75%	59%	68%	69%	55%	62%
62.0%		62%	73%	71%	58%	16%	61%	77%	63%	63%	51%	77%	48%	51%	70%	65%	68%	63%	55%	65%	68%	77%
72.3%		75%	70%	73%	81%	34%	71%	73%	79%	78%	81%	73%	78%	81%	71%	68%	80%	59%	81%	63%	75%	75%
44.4%		48%	42%	51%	51%	51%	32%	49%	45%	44%	44%	36%	36%	51%	36%	44%	48%	48%	46%	29%	51%	51%
65.4%		68%	70%	70%	68%	52%	66%	70%	66%	58%	72%	61%	68%	63%	60%	69%	74%	54%	53%	70%	65%	76%
72.0%		67%	66%	76%	75%	67%	69%	73%	67%	87%	77%	73%	67%	75%	67%	65%	75%	66%	75%	67%	67%	90%
76.7%		79%	80%	79%	79%	87%	64%	85%	71%	78%	87%	78%	65%	81%	65%	78%	79%	78%	77%	75%	65%	81%
69.0%		66%	79%	84%	74%	72%	76%	71%	65%	65%	71%	66%	65%	71%	73%	62%	57%	73%	45%	64%	82%	69%
74.5%		74%	81%	80%	80%	77%	74%	74%	71%	71%	74%	77%	71%	77%	74%	76%	68%	75%	75%	65%	76%	74%
71.1%		66%	76%	70%	68%	58%	70%	72%	77%	80%	66%	77%	79%	76%	72%	71%	72%	78%	77%	68%	49%	72%
65.4%		66%	71%	71%	66%	66%	64%	64%	62%	65%	73%	63%	62%	66%	62%	66%	68%	60%	62%	62%	66%	69%
55.0%		58%	53%	65%	61%	58%	43%	58%	54%	55%	58%	41%	48%	48%	41%	71%	65%	48%	71%	40%	56%	62%
67.5%		75%	67%	68%	70%	77%	49%	65%	67%	72%	63%	69%	75%	56%	69%	70%	80%	72%	62%	62%	65%	64%
40.4%		40%	38%	43%	43%	74%	28%	35%	48%	50%	49%	44%	31%	34%	31%	48%	44%	24%	37%	31%		37%
45.6%		39%	63%	50%	72%	50%	48%	60%	41%	43%	17%	37%	49%	50%	56%	38%	30%	36%	38%	49%	60%	32%
60.0%		61%	62%	66%	58%	61%	58%	56%	61%	61%	61%	60%	56%	61%	58%	63%	64%	58%	54%	56%	63%	63%
79.6%		84%	79%	77%	82%	77%	79%	86%	79%	79%	84%	77%	83%	84%	82%	79%	79%	86%	81%	84%	71%	60%
78.2%		71%	80%	80%	84%	88%	69%	72%	82%	61%	82%	81%	80%	72%	82%	84%	82%	79%	77%	74%	80%	82%
77.9%		66%	81%	73%	73%	73%	84%	89%	80%	69%	73%	73%	86%	73%	74%	73%	85%	76%	78%	82%	88%	86%
72.6%		71%	75%	71%	70%	70%	73%	64%	81%	72%	70%	77%	80%	60%	75%	73%	76%	73%	79%	69%	71%	75%
66.6%		68%	66%	66%	72%	78%	58%	69%	65%	70%	78%	63%	53%	68%	68%	68%	69%	68%	59%	59%	63%	71%
85.0%		90%	94%	91%	100%	49%	100%	100%	95%	90%	69%	100%	100%	67%	79%	69%	83%	81%	69%	89%		86%
58.7%		66%	62%	60%	60%	54%	47%	55%	57%	65%	58%	61%	53%	54%	61%	63%	61%	65%	64%	53%	53%	61%
64.2%		70%	58%	66%	68%	68%	55%	68%	66%	68%	73%	60%	51%	65%	66%	62%	60%	67%	65%	59%	69%	65%
67.0%		65%	72%	73%	65%	66%	68%	66%	72%	56%	72%	67%	64%	67%	64%	73%	67%	60%	60%	64%	72%	74%
78.8%		75%	84%	82%	78%	87%	71%	87%	71%	80%	87%	86%	65%	87%	77%	74%	81%	73%	82%	82%	76%	69%
63.8%		43%	55%	63%	54%	53%	66%	55%	63%	67%	72%	72%	68%	71%	77%	57%	68%	70%	61%	72%	72%	60%
94.6%		90%	95%	95%	100%	94%	94%	100%	95%	100%	100%	95%	100%	100%	95%	90%	81%	90%	88%	100%	94%	91%
80.9%		76%	81%	89%	76%	37%	82%	89%	77%	86%	73%	94%	86%	73%	86%	81%	82%	89%	81%	81%	90%	89%
68.3%		71%	74%	73%	68%	68%	67%	72%	72%	67%	78%	68%	67%	73%	68%	74%	72%	64%	44%	58%	73%	63%
66.1%		66%	70%	71%	69%	62%	62%	71%	72%	72%	66%	62%	72%	66%	62%	68%	64%	67%	65%	50%	65%	66%
58.8%		49%	67%	49%	60%	30%	52%	68%	72%	77%	54%	67%	63%	60%	61%	60%	55%	61%	56%	63%	49%	62%
71.3%		58%	76%	63%	63%	53%	74%	76%	68%	86%	71%	78%	80%	70%	81%	68%	75%	82%	81%	69%	55%	71%
47.7%		50%	52%	42%	47%	67%	41%	42%	47%	48%	42%	40%	44%	42%	40%	60%	51%	42%	48%	40%	56%	60%
55.9%		57%	57%	57%	54%	48%	55%	57%	59%	57%	57%	59%	58%	58%	55%	59%	59%	55%	55%	55%		47%
65.4%		65%	67%	64%	65%	44%	65%	63%	72%	70%	74%	68%	65%	70%	65%	61%	66%	70%	66%	61%	64%	69%
58.8%		60%	61%	65%	61%	37%	52%	65%	63%	65%	63%	58%	50%	66%	58%	63%	58%	55%	62%	58%	52%	63%
72.3%		63%	76%	75%	65%	72%	80%	80%	66%	69%	80%	72%	72%	72%	76%	76%	72%	73%	63%	68%	72%	76%
61.6%		69%	64%	62%	82%	91%	48%	56%	52%	59%	72%	66%	48%	72%	55%	72%	70%	48%	44%	45%	56%	62%
64.3%		71%	72%	71%	73%	52%	68%	67%	63%	52%	63%	58%	71%	71%	67%	67%	65%	53%	52%	71%	58%	66%
73.6%		77%	76%	79%	79%	55%	68%	76%	76%	78%	77%	68%	68%	78%	71%	77%	73%	76%	66%	70%	72%	85%
65.9%		63%	68%	65%	65%	71%	64%	59%	69%	75%	67%	68%	74%	67%	65%	65%	65%	61%	65%	67%	60%	61%
61.8%		70%	62%	65%	65%	77%	60%	76%	65%	65%	63%	63%	51%	67%	63%	56%	58%	47%	38%	53%	58%	76%
47.1%		51%	50%	44%	44%	10%	51%	57%	48%	48%	44%	44%	46%	54%	51%	49%	51%	59%	40%	46%	52%	51%
75.0%		84%	74%	77%	76%	27%	74%	79%	76%	77%	77%	76%	65%	84%	82%	85%	85%	68%	67%	83%	86%	74%
70.2%		70%	71%	73%	78%	49%	81%	73%	72%	67%	76%	74%	59%	76%	69%	76%	73%	69%	59%	71%	72%	67%
67.8%		70%	71%	69%	70%	67%	54%	71%	69%	73%	66%	76%	66%	66%	59%	76%	72%	75%	68%	59%	66%	60%
63.1%		73%	65%	63%	63%	68%	59%	72%	50%	59%	58%	63%	56%	58%	70%	61%	56%	63%	65%	66%	68%	69%
71.1%		70%	76%	79%	76%	73%	66%	67%	67%	70%	77%	74%	62%	67%	62%	71%	71%	68%	73%	70%	76%	79%
79.7%		90%	75%	80%	81%	90%	75%	81%	91%	90%	90%	61%	80%	78%	69%	81%	75%	81%	64%	72%	89%	81%
55.0%		55%	55%	58%	58%	48%	54%	58%	55%	57%	43%	57%	55%	56%	55%	58%	57%	57%	64%	57%	60%	37%
80.3%		90%	89%	89%	73%	33%	77%	85%	86%	77%	65%	88%	81%	79%	86%	71%	86%	88%	100%	89%	72%	82%
76.3%		81%	81%	81%	83%	44%	71%	73%	77%	80%	87%	75%	73%	87%	73%	73%	80%	78%	78%	77%	73%	77%
62.4%		66%	63%	67%	71%	37%	40%	56%	58%	76%	67%	76%	46%	76%	54%	77%	70%	63%	67%	52%	66%	63%
70.5%		74%	71%	76%	76%	71%	68%	71%	65%	61%	63%	68%	61%	71%	68%	72%	65%	76%	76%	65%	86%	76%
61.5%		62%	66%	66%	66%	44%	66%	67%	53%	56%	61%	70%	61%	69%	61%	66%	62%	66%	47%	61%	68%	54%
60.0%		68%	62%	64%	67%	55%	64%	60%	63%	59%	56%	54%	59%	60%	59%	62%	60%	59%	53%	59%	63%	53%
78.5%		78%	76%	75%	76%	87%	82%	76%	73%	81%	63%	87%	87%	87%	80%	75%	80%	75%	77%	87%	74%	73%
59.7%		58%	64%	63%	63%	45%	62%	63%	65%	62%	49%	63%	62%	63%	61%	64%	64%	57%	61%	62%	44%	58%
56.9%		69%	61%	63%	62%	63%	62%	59%	50%	55%	50%	49%	46%	59%	62%	57%	58%	58%	55%	62%	36%	58%
70.6%		78%	64%	83%	78%	73%	73%	78%	63%	77%	78%	68%	66%	63%	63%	59%	68%	78%	48%	69%	68%	88%
55.3%		59%	61%	59%	68%	68%	71%	51%	43%	42%	54%	59%	51%	54%	59%	51%	56%	48%	42%	64%	42%	60%
54.5%		51%	57%	50%	51%	41%	68%	58%	56%	47%	58%	54%	60%	62%	59%	51%	48%	65%	43%	62%	52%	51%
64.7%		61%	66%	61%	61%	71%	53%	77%	64%	64%	65%	77%	77%	54%	64%	63%	64%	67%	52%	59%	77%	61%
67.6%		66%	73%	68%	66%	69%	75%	73%	64%	66%	66%	71%	64%	66%	69%	65%	66%	71%	53%	70%	73%	66%
63.9%		69%	70%	69%	63%	25%	66%	73%	67%	60%	63%	70%	60%	63%	66%	62%	62%	72%	60%	60%	71%	70%
50.3%		57%	56%	57%	55%	50%	51%	46%	46%	42%	42%	54%	44%	42%	56%	47%	56%	54%	51%	52%	54%	44%
79.1%		75%	86%	79%	80%	79%	72%	81%	72%	79%	86%	84%	94%	79%	89%	85%	76%	70%	69%	89%	69%	68%
58.4%		66%	58%	64%	63%	67%	52%	62%	68%	58%	63%	53%	34%	59%	53%	70%	64%	51%	41%	66%	63%	51%
75.3%		77%	78%	77%	84%	76%	69%	76%	76%	71%	76%	77%	59%	76%	76%	62%	62%	76%	74%	84%	76%	100%
58.0%		62%	59%	59%	59%	54%	51%	55%	59%	61%	58%	56%	60%	55%	60%	60%	56%	61%	63%	60%	58%	52%
61.7%		76%	79%	76%	72%	66%	39%	50%	66%	65%	51%	75%	54%	52%	46%	77%	68%	45%	48%	55%	63%	73%
59.5%		49%	49%	63%	67%	59%	52%	66%	67%	67%	61%	66%	53%	58%	49%	67%	58%	61%	52%	49%	61%	75%
66.1%		71%	68%	76%	76%	69%	76%	66%	61%	61%	69%	61%	61%	64%	76%	61%	64%	67%	54%	68%	60%	60%
47.5%		46%	53%	53%	49%	49%	50%	49%	48%	43%	49%	45%	47%	49%	46%	43%	50%	48%	43%	46%	47%	45%
73.9%		76%	81%	77%	70%	58%	68%	82%	69%	75%	76%	70%	75%	75%	68%	79%	82%	79%	67%	78%	75%	72%
58.0%		54%	56%	53%	55%	42%	56%	51%	55%	60%	55%	60%	60%	60%	60%	50%	60%	71%	76%	59%	69%	56%
80.3%		78%	83%	81%	81%	74%	65%	78%	83%	83%	91%	81%	68%	91%	68%	91%	91%	80%	84%	72%	82%	82%
64.1%		68%	69%	64%	75%	88%	36%	64%	61%	58%	73%	64%	49%	73%	64%	69%	71%	58%	58%	57%	66%	61%
61.5%		66%	63%	65%	63%	74%	53%	58%	61%	45%	74%	74%	40%	74%	56%	63%	55%	69%	58%	63%	43%	74%
61.1%		74%	64%	79%	58%	30%	61%	68%	60%	71%	80%	72%	57%	77%	51%	62%	56%	45%	73%	62%	46%	37%
83.2%		87%	79%	84%	87%	86%	70%	81%	87%	87%	86%	87%	86%	86%	80%	82%	92%	83%	89%	90%	66%	72%
76.7%		80%	79%	87%	80%	80%	79%	87%	73%	71%	69%	82%	66%	69%	79%	87%	82%	73%	67%	78%	81%	62%
68.0%		56%	74%	81%	73%	73%	85%	81%	60%	73%	73%	64%	60%	56%	68%	55%	59%	64%	77%	77%	73%	47%
73.1%		81%	80%	82%	87%	72%	67%	76%	63%	65%	72%	75%	63%	76%	74%	76%	80%	71%	59%	64%	66%	87%
61.6%		52%	66%	73%	72%	55%	38%	66%	57%	51%	66%	66%	66%	59%	51%	75%	67%	70%	66%	45%	67%	66%
67.8%		75%	77%	65%	70%	67%	49%	67%	70%	77%	66%	67%	53%	64%	69%	77%	77%	66%	58%	60%	75%	75%
67.8%		74%	65%	72%	74%	77%	41%	58%	62%	71%	87%	68%	58%	87%	61%	78%	81%	59%	63%	58%	69%	61%
77.4%		100%	82%	90%	100%	68%	67%	69%	75%	70%	76%	77%	76%	67%	56%	90%	72%	79%	79%	77%		78%
59.2%		68%	60%	57%	63%	61%	51%	52%	56%	66%	54%	62%	51%	50%	61%	64%	63%	61%	68%	58%	66%	52%
52.6%		44%	62%	53%	63%	63%	48%	58%	47%	53%	40%	42%	55%	53%	47%	66%	62%	47%	41%	55%	58%	48%
75.0%		74%	80%	78%	89%	76%	78%	76%	74%	78%	68%	78%	70%	78%	65%	78%	74%	82%	67%	58%	78%	76%
54.6%		59%	49%	54%	67%	59%	44%	59%	51%	51%	59%	51%	67%	51%	42%	57%	67%	49%	51%	28%	67%	65%
70.3%		77%	70%	69%	65%	69%	73%	75%	75%	68%	69%	69%	69%	75%	69%	68%	80%	76%	72%	73%	55%	60%
80.8%		90%	83%	84%	82%	84%	77%	77%	77%	82%	77%	84%	67%	77%	77%	90%	86%	84%	80%	71%	77%	91%
57.3%		57%	63%	57%	55%	61%	60%	56%	48%	53%	41%	57%	55%	57%	57%	59%	59%	74%	64%	61%	55%	55%

Model Similarity Dendrogram

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