DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Aindonesia C10 - Run 6f3be32...

Global Dialogues GD4 - Indonesia (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Social interaction

AI Safety & Robustness

Mental Health & Crisis Support

Best Models (Coverage)

1.Claude 3.7 Sonnet
76.6%
2.Claude Sonnet 4
76.6%
3.Claude Haiku 4.5
75.8%
4.GPT 4o
75.5%
5.GPT 5.1
75.2%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

75.7% similarity

👯 Most Similar Models

Mistral Medium 3vsGPT 4o

89.4% 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		1st 76.6%	3rd 75.8%	2nd 76.6%	6th 74.9%	21st 64.8%	17th 70.8%	9th 74.4%	7th 74.7%	10th 73.9%	8th 74.4%	12th 73.4%	15th 71.3%	4th 75.5%	14th 72.7%	11th 73.6%	5th 75.2%	19th 69.5%	20th 66.8%	13th 73.1%	18th 69.8%	16th 71.2%
62.1%		76%	64%	74%	74%	66%	40%	48%	71%	69%	69%	53%	59%	62%	52%	72%	63%	64%	36%	70%		59%
74.6%		83%	75%	75%	82%	66%	53%	65%	63%	87%	82%	71%	81%	89%	77%	85%	85%	85%	73%	69%	68%	52%
57.6%		64%	62%	49%	51%	47%	69%	71%	59%	49%	43%	65%	61%	60%	66%	51%	66%	51%	59%	58%	58%	50%
61.9%		62%	64%	69%	71%	51%	71%	67%	66%	56%	67%	66%	64%	67%	67%	59%	65%	51%	42%	55%	53%	67%
49.9%		64%	51%	53%	48%	51%	51%	55%	55%	56%	50%	47%	40%	60%	53%	49%	44%	38%	35%	55%	49%	44%
71.2%		74%	80%	82%	74%	38%	78%	78%	75%	80%	74%	81%	53%	82%	85%	72%	81%	52%	46%	77%	47%	86%
64.3%		78%	77%	78%	78%	76%	59%	68%	59%	59%	61%	50%	50%	58%	62%	74%	74%	55%	55%	50%	64%	66%
81.0%		79%	79%	85%	77%	74%	76%	78%	80%	79%	90%	87%	79%	84%	82%	86%	83%	87%	81%	83%	79%	72%
74.0%		79%	75%	81%	86%	48%	84%	80%	81%	65%	78%	77%	73%	80%	78%	28%	79%	72%	80%	79%	71%	79%
65.5%		60%	70%	63%	61%	15%	85%	73%	74%	56%	60%	70%	82%	76%	87%	44%	51%	66%	58%	77%	74%	74%
73.8%		82%	78%	78%	77%	63%	68%	71%	68%	74%	77%	70%	58%	77%	75%	80%	79%	73%	75%	76%		77%
85.5%		88%	79%	86%	86%	93%	77%	84%	90%	86%	86%	84%	87%	88%	87%	87%	84%	87%	87%	75%	88%	87%
82.0%		86%	83%	92%	90%	85%	71%	74%	84%	85%	81%	78%	74%	84%	68%	92%	87%	84%	90%	71%	75%	87%
59.0%		70%	74%	75%	60%	51%	54%	58%	44%	53%	58%	59%	42%	55%	51%	68%	61%	53%	59%	60%	61%	74%
66.9%		71%	70%	72%	64%	5%	66%	75%	73%	60%	71%	86%	75%	62%	80%	63%	71%	65%	59%	78%	68%	70%
67.7%		74%	70%	63%	75%	75%	54%	77%	62%	79%	77%	68%	54%	82%	60%	83%	82%	58%	68%	54%	48%	58%
79.5%		80%	84%	83%	87%	77%	84%	79%	84%	81%	74%	81%	72%	72%	81%	73%	80%	86%	80%	80%	69%	82%
83.0%		80%	86%	79%	79%	86%	83%	93%	83%	93%	95%	94%	87%	88%	67%	77%	78%	71%	78%	82%	83%	81%
69.6%		73%	69%	71%	58%	75%	77%	69%	75%	69%	56%	80%	80%	70%	75%	57%	55%	78%	74%	75%	64%	61%
71.7%		72%	77%	71%	77%	74%	59%	72%	69%	65%	75%	74%	74%	65%	79%	75%	73%	71%	72%	72%	70%	70%
81.7%		83%	83%	86%	86%	84%	83%	81%	78%	83%	86%	84%	88%	76%	58%	78%	86%	91%	73%	84%	84%	80%
75.4%		67%	87%	78%	68%	60%	75%	73%	80%	79%	76%	77%	80%	73%	75%	75%	79%	73%	76%	76%	82%	75%
78.7%		92%	78%	91%	85%	59%	80%	78%	73%	84%	87%	69%	47%	88%	66%	89%	89%	63%	88%	80%	79%	88%
59.0%		59%	60%	58%	47%	56%	52%	65%	61%	57%	62%	48%	65%	68%	49%	45%	72%	66%	61%	47%	84%	58%
69.6%		64%	69%	70%	68%	63%	77%	77%	64%	67%	70%	69%	70%	68%	73%	77%	75%	64%	65%	70%	72%	69%
83.1%		85%	92%	93%	88%	83%	83%	83%	71%	83%	82%	83%	83%	85%	83%	78%	83%	81%	83%	83%		78%
70.5%		75%	77%	75%	77%	68%	66%	81%	68%	66%	76%	70%	64%	70%	65%	80%	76%	69%	61%	68%	64%	64%
72.3%		89%	74%	83%	89%	59%	45%	68%	79%	73%	85%	68%	70%	71%	70%	79%	81%	66%	67%	63%	56%	84%
72.2%		79%	75%	74%	78%	66%	61%	78%	77%	77%	83%	61%	64%	81%	59%	70%	75%	70%	65%	65%	77%	82%
78.4%		79%	77%	78%	72%	66%	67%	94%	77%	74%	78%	87%	82%	78%	82%	79%	76%	81%	76%	94%	78%	72%
80.3%		82%	83%	85%	75%	65%	84%	82%	75%	86%	76%	78%	76%	82%	87%	83%	88%	77%	67%	90%		84%
77.7%		69%	74%	79%	79%	58%	76%	85%	90%	86%	65%	65%	80%	74%	80%	96%	80%	67%	71%	88%	85%	85%
77.5%		82%	75%	73%	97%	83%	69%	73%	70%	84%	78%	69%	79%	66%	60%	96%	91%	79%	68%	65%	85%	86%
63.5%		68%	61%	61%	73%	73%	61%	70%	62%	78%	73%	69%	44%	77%	63%	85%	75%	46%	40%	55%	64%	35%
79.1%		80%	92%	83%	73%	77%	79%	86%	81%	85%	74%	70%	86%	82%	82%	74%	69%	73%	73%	84%	81%	78%
69.8%		82%	73%	79%	79%	59%	67%	71%	66%	74%	81%	63%	60%	76%	75%	78%	74%	69%	50%	73%	44%	73%
80.1%		81%	84%	86%	83%	76%	84%	75%	89%	77%	81%	86%	81%	81%	83%	77%	82%	66%	86%	86%	63%	75%
63.5%		68%	54%	73%	61%	72%	71%	56%	65%	60%	70%	62%	75%	53%	64%	70%	74%	41%	52%	69%	66%	57%
79.9%		80%	92%	91%	82%	58%	84%	83%	84%	88%	82%	79%	72%	86%	90%	79%	81%	69%	80%	81%	59%	78%
53.0%		59%	47%	56%	52%	49%	59%	52%	53%	10%	59%	54%	71%	45%	67%	74%	76%	44%	34%	61%	45%	45%
77.1%		78%	78%	77%	71%	60%	77%	82%	77%	86%	83%	75%	76%	82%	81%	79%	80%	76%	73%	71%	84%	73%
78.4%		84%	79%	81%	88%	85%	74%	73%	73%	82%	80%	74%	87%	87%	77%	82%	77%	75%	79%	65%	70%	74%
75.7%		84%	76%	80%	81%	73%	63%	70%	59%	75%	76%	80%	80%	75%	67%	85%	79%	78%	82%	64%	81%	82%
68.8%		60%	64%	66%	65%	75%	76%	81%	85%	71%	65%	65%	74%	73%	68%	53%	52%	63%	76%	74%	84%	55%
74.5%		80%	80%	69%	69%	91%	84%	92%	84%	75%	71%	78%	67%	77%	76%	59%	74%	71%	55%	87%	62%	64%
74.4%		85%	68%	79%	80%	81%	65%	85%	80%	78%	81%	77%	59%	79%	63%	74%	77%	75%	59%	81%	73%	63%
81.5%		90%	87%	84%	87%	91%	78%	90%	87%	83%	80%	80%	65%	84%	72%	85%	83%	77%	76%	78%	83%	72%
83.5%		87%	95%	77%	77%	81%	72%	89%	87%	87%	98%	89%	75%	92%	90%	85%	77%	97%	71%	84%	87%	57%
80.7%		71%	85%	83%	76%	55%	84%	76%	80%	84%	77%	85%	87%	81%	89%	81%	84%	82%	75%	84%	93%	82%
75.3%		86%	80%	84%	67%	71%	79%	79%	75%	81%	64%	79%	74%	82%	79%	67%	68%	75%	63%	67%	81%	81%
84.3%		90%	87%	86%	86%	76%	77%	89%	92%	92%	88%	80%	89%	88%	82%	87%	91%	80%	75%	84%	66%	86%
74.2%		79%	75%	77%	75%	57%	75%	78%	77%	77%	84%	70%	74%	76%	69%	83%	75%	76%	74%	60%	72%	75%
66.1%		70%	70%	73%	77%	69%	56%	52%	70%	64%	72%	74%	56%	69%	56%	73%	70%	56%	86%	68%	54%	53%
51.5%		65%	56%	51%	48%	59%	51%	54%	54%	59%	55%	40%	54%	57%	58%	65%	58%	29%	15%	49%	56%	49%
83.7%		90%	83%	93%	86%	79%	69%	76%	87%	79%	88%	86%	83%	85%	87%	85%	87%	85%	72%	87%	86%	84%
67.8%		74%	63%	68%	75%	68%	63%	65%	70%	68%	65%	63%	64%	65%	66%	71%	73%	76%	72%	58%	68%	68%
51.3%		55%	45%	47%	46%	71%	41%	51%	60%	62%	59%	48%	43%	50%	46%	53%	68%	61%	38%	47%	46%	41%
82.7%		88%	87%	86%	87%	60%	75%	78%	84%	87%	87%	86%	86%	86%	75%	87%	88%	87%	86%	75%	75%	86%
62.2%		74%	64%	68%	68%	74%	47%	73%	58%	75%	75%	67%	59%	76%	57%	74%	74%	42%	47%	49%	47%	38%
80.2%		72%	87%	82%	84%	49%	74%	87%	91%	75%	76%	88%	82%	91%	86%	80%	85%	84%	72%	80%	74%	85%
71.6%		75%	75%	77%	77%	52%	78%	76%	76%	70%	68%	73%	65%	77%	68%	57%	63%	74%	75%	81%	75%	72%
77.9%		86%	85%	91%	92%	85%	40%	70%	79%	74%	81%	51%	91%	80%	60%	86%	80%	84%	79%	74%	81%	86%
79.6%		90%	80%	87%	80%	84%	93%	93%	88%	91%	87%	76%	77%	91%	68%	86%	86%	65%	51%	84%	32%	82%
81.4%		90%	86%	87%	87%	68%	86%	74%	70%	84%	85%	71%	84%	73%	84%	82%	83%	85%	76%	81%	84%	89%
72.1%		85%	72%	82%	86%	77%	72%	72%	62%	66%	88%	53%	62%	78%	59%	86%	83%	50%	51%	73%		85%
76.5%		84%	79%	84%	82%	50%	81%	79%	81%	69%	79%	85%	84%	78%	72%	74%	81%	73%	74%	74%	70%	73%
68.7%		83%	79%	81%	82%	51%	56%	79%	82%	69%	82%	69%	68%	69%	57%	77%	83%	72%	65%	57%	0%	82%
63.9%		61%	70%	67%	69%	68%	68%	65%	57%	58%	69%	71%	56%	61%	60%	66%	58%	66%	53%	65%	71%	62%
63.4%		57%	66%	65%	60%	72%	68%	56%	57%	67%	66%	70%	53%	53%	58%	69%	69%	67%	65%	68%	57%	69%
74.9%		76%	88%	93%	90%	66%	74%	71%	55%	53%	72%	87%	74%	69%	71%	73%	80%	69%	86%	80%	71%	74%
79.2%		76%	80%	79%	79%	45%	90%	84%	83%	80%	81%	81%	77%	92%	88%	77%	78%	77%	81%	86%	71%	78%
77.0%		82%	79%	84%	84%	67%	74%	79%	74%	73%	79%	85%	76%	74%	82%	75%	79%	81%	76%	75%	69%	71%
78.8%		83%	83%	80%	70%	50%	96%	88%	86%	68%	64%	86%	100%	79%	90%	70%	76%	84%	60%	90%	86%	66%
68.3%		64%	70%	74%	72%	58%	71%	76%	73%	78%	70%	61%	52%	86%	76%	65%	62%	64%	68%	56%	73%	65%
76.9%		79%	82%	83%	69%	70%	83%	82%	85%	64%	69%	82%	73%	83%	78%	73%	76%	76%	67%	85%	75%	81%
60.3%		66%	69%	56%	56%	36%	83%	63%	67%	54%	38%	61%	73%	59%	84%	54%	54%	57%	54%	69%	62%	51%
73.9%		72%	85%	83%	72%	49%	89%	73%	91%	78%	69%	84%	81%	78%	83%	63%	67%	71%	66%	68%	68%	62%
85.6%		85%	92%	91%	84%	74%	65%	88%	96%	87%	100%	91%	92%	89%	90%	83%	86%	84%	75%	77%		84%
70.4%		77%	78%	79%	73%	37%	76%	73%	76%	70%	75%	70%	80%	76%	71%	71%	66%	73%	64%	65%	62%	66%
78.0%		80%	81%	85%	86%	77%	67%	76%	85%	79%	79%	85%	75%	76%	79%	78%	81%	67%	72%	86%	63%	80%
86.9%		92%	87%	90%	97%	91%	83%	89%	90%	86%	83%	92%	92%	86%	92%	91%	89%	84%	82%	92%	87%	49%
78.0%		76%	86%	81%	85%	85%	65%	81%	81%	82%	83%	81%	79%	80%	70%	79%	81%	54%	78%	74%	79%	79%
75.6%		78%	81%	83%	83%	51%	72%	80%	85%	71%	76%	78%	71%	80%	73%	77%	78%	75%	80%	64%	74%	78%
87.6%		94%	94%	83%	94%	90%	94%	70%	93%	91%	94%	86%	86%	89%	84%	90%	92%	91%	75%	89%	74%	86%
78.6%		81%	83%	75%	71%	55%	85%	89%	89%	87%	74%	90%	74%	78%	83%	65%	87%	73%	71%	80%	85%	75%
80.9%		84%	90%	92%	81%	64%	89%	79%	81%	84%	79%	75%	69%	87%	86%	77%	78%	74%	76%	84%		89%
69.5%		70%	74%	68%	66%	72%	82%	82%	72%	79%	59%	82%	73%	67%	78%	58%	67%	51%	55%	80%	76%	49%
65.9%		69%	73%	67%	65%	53%	66%	61%	73%	70%	66%	67%	60%	77%	74%	61%	70%	61%	67%	71%	52%	60%
65.4%		73%	64%	79%	60%	83%	62%	67%	76%	80%	76%	67%	36%	79%	62%	71%	68%	44%	20%	70%	69%	67%
72.6%		71%	78%	83%	78%	82%	72%	80%	79%	78%	76%	82%	67%	75%	65%	55%	59%	60%	63%	86%	67%	69%
66.7%		79%	65%	69%	69%	71%	51%	69%	54%	78%	72%	72%	58%	72%	62%	68%	70%	74%	79%	71%	33%	64%
55.7%		58%	45%	69%	48%	44%	36%	60%	66%	57%	57%	65%	49%	57%	42%	79%	61%	33%	56%	59%	54%	74%
49.5%		66%	58%	53%	71%	27%	51%	47%	35%	39%	48%	43%	56%	52%	47%	56%	44%	43%	44%	61%	47%	51%
79.0%		90%	84%	89%	87%	75%	46%	84%	83%	81%	92%	76%	79%	81%	65%	84%	85%	76%	73%	53%	92%	83%
53.6%		49%	59%	57%	46%	54%	72%	64%	63%	58%	46%	54%	60%	51%	61%	49%	38%	50%	45%	62%	40%	48%
81.8%		84%	88%	86%	84%	72%	79%	81%	83%	87%	76%	82%	87%	87%	84%	78%	88%	72%	70%	94%	73%	82%
80.0%		79%	78%	85%	85%	62%	88%	78%	85%	68%	82%	89%	88%	83%	92%	80%	72%	85%	67%	89%		64%
73.2%		78%	74%	71%	74%	34%	92%	89%	83%	71%	56%	78%	79%	74%	94%	64%	67%	76%	56%	84%	76%	68%
75.0%		84%	82%	82%	78%	59%	58%	79%	65%	87%	81%	81%	77%	88%	83%	73%	78%	47%	86%	72%	78%	56%
68.6%		66%	73%	67%	51%	56%	73%	68%	76%	64%	70%	84%	64%	79%	66%	57%	69%	69%	48%	68%	82%	90%
66.9%		70%	73%	75%	76%	5%	78%	68%	66%	66%	69%	74%	75%	77%	70%	63%	67%	70%	51%	69%	75%	67%
73.9%		81%	69%	78%	78%	69%	71%	68%	78%	69%	75%	69%	69%	69%	74%	80%	78%	82%	78%	69%	69%	78%
71.4%		79%	73%	73%	76%	75%	68%	70%	74%	67%	71%	68%	68%	71%	69%	70%	73%	66%	71%	73%	77%	68%
67.0%		76%	68%	68%	66%	65%	40%	51%	65%	60%	69%	63%	67%	60%	62%	78%	79%	67%	72%	60%	89%	81%
77.1%		75%	79%	82%	84%	70%	56%	78%	82%	85%	79%	69%	79%	78%	69%	82%	81%	84%	85%	67%	76%	79%
79.4%		78%	89%	64%	77%	55%	78%	76%	90%	92%	88%	77%	90%	78%	86%	73%	87%	82%	70%	86%	71%	80%
79.9%		87%	89%	92%	90%	44%	77%	84%	84%	84%	86%	79%	69%	92%	72%	89%	86%	85%	30%	90%	90%	78%
67.5%		78%	64%	64%	72%	72%	42%	61%	64%	85%	80%	69%	63%	80%	73%	78%	75%	48%	60%	63%	71%	56%
64.2%		59%	63%	62%	62%	64%	77%	63%	72%	64%	62%	68%	68%	59%	68%	74%	62%	66%	50%	76%	59%	50%
65.0%		69%	64%	66%	67%	62%	64%	60%	63%	65%	69%	66%	64%	70%	56%	69%	71%	70%	68%	59%	62%	61%
77.3%		74%	73%	77%	75%	79%	76%	82%	83%	81%	68%	68%	88%	76%	80%	72%	78%	77%	78%	81%	87%	70%
82.1%		82%	88%	92%	83%	58%	71%	82%	84%	90%	89%	72%	69%	84%	89%	83%	78%	85%	84%	72%	100%	89%
80.4%		88%	79%	76%	81%	86%	70%	84%	80%	79%	86%	86%	72%	87%	75%	80%	81%	73%	74%	82%	86%	83%
84.1%		86%	92%	94%	79%	54%	92%	83%	92%	87%	80%	87%	76%	93%	93%	77%	87%	76%	81%	92%	76%	90%
77.2%		78%	75%	68%	80%	90%	82%	68%	75%	80%	73%	73%	66%	68%	77%	85%	83%	84%	84%	75%	70%	87%
73.0%		76%	74%	74%	63%	82%	82%	68%	74%	71%	64%	75%	74%	74%	76%	62%	77%	64%	75%	81%	78%	68%

Model Similarity Dendrogram

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