DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Abangladesh C10 - Run 57a136a...

Global Dialogues GD4 - Bangladesh (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Best Models (Coverage)

1.Claude 3.7 Sonnet
72.9%
2.GPT 5.1
72.7%
3.Claude Sonnet 4
71.9%
4.GPT 5
71.8%
5.Claude Sonnet 4.5
71.3%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

71.0% similarity

👯 Most Similar Models

Claude Sonnet 4vsGPT 4o

91.5% similarity

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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 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 72.9%	7th 71.2%	3rd 71.9%	5th 71.3%	17th 65.4%	21st 63.9%	11th 69.3%	9th 70.2%	6th 71.3%	10th 69.9%	12th 69.0%	20th 63.9%	8th 71.0%	13th 68.8%	4th 71.8%	2nd 72.7%	14th 67.0%	18th 65.3%	19th 64.3%	16th 65.7%	15th 66.0%
69.1%		82%	75%	73%	86%	70%	43%	61%	81%	66%	77%	59%	59%	75%	54%	76%	71%	78%	57%	59%	83%	66%
62.9%		73%	68%	66%	66%	68%	48%	58%	67%	66%	66%	64%	55%	78%	70%	74%	80%	59%	53%	55%	44%	42%
74.8%		75%	74%	79%	74%	69%	74%	79%	75%	79%	84%	80%	51%	80%	80%	75%	84%	70%	69%	69%	81%	70%
64.8%		67%	67%	71%	71%	61%	69%	64%	65%	61%	63%	65%	63%	65%	63%	62%	69%	53%	65%	68%	64%	65%
54.5%		61%	52%	55%	63%	58%	43%	52%	58%	55%	60%	55%	44%	62%	48%	61%	61%	46%	58%	43%	51%	59%
72.5%		82%	80%	82%	84%	43%	73%	75%	75%	81%	84%	68%	69%	84%	85%	74%	82%	53%	55%	75%	48%	71%
72.1%		88%	94%	94%	88%	77%	63%	70%	68%	64%	54%	67%	77%	52%	54%	88%	67%	66%	59%	59%	77%	88%
58.9%		66%	60%	56%	52%	67%	49%	49%	53%	60%	64%	71%	55%	66%	61%	62%	63%	60%	65%	44%	50%	63%
79.2%		76%	89%	76%	84%	52%	73%	78%	77%	86%	74%	87%	75%	77%	92%	85%	81%	94%	87%	71%	71%	78%
57.6%		62%	60%	58%	58%	60%	50%	61%	59%	65%	48%	60%	59%	57%	59%	52%	58%	60%	60%	57%	50%	57%
73.0%		76%	78%	78%	75%	39%	75%	75%	78%	73%	64%	75%	74%	80%	75%	70%	76%	80%	75%	74%	71%	71%
73.0%		73%	84%	78%	70%	71%	76%	77%	70%	70%	71%	78%	68%	71%	74%	74%	77%	73%	67%	77%	67%	67%
68.0%		76%	72%	65%	78%	86%	57%	58%	76%	80%	73%	76%	53%	69%	66%	68%	73%	78%	57%	57%	57%	52%
51.1%		61%	73%	61%	61%	64%	41%	61%	34%	58%	51%	51%	44%	36%	49%	55%	55%	36%	27%	51%	54%	50%
71.3%		81%	72%	81%	81%	58%	65%	75%	74%	73%	94%	73%	44%	74%	58%	78%	80%	77%	80%	53%	52%	75%
54.5%		61%	54%	49%	57%	59%	45%	54%	50%	64%	56%	54%	49%	61%	52%	65%	64%	42%	70%	41%	44%	54%
78.5%		75%	82%	84%	84%	75%	80%	76%	89%	78%	80%	80%	76%	84%	73%	67%	80%	73%	76%	76%	76%	84%
70.5%		61%	80%	78%	68%	71%	67%	80%	69%	74%	67%	79%	52%	80%	50%	64%	75%	76%	68%	77%	74%	71%
65.0%		81%	69%	81%	81%	65%	41%	75%	72%	67%	72%	49%	55%	65%	52%	79%	65%	75%	59%	48%	61%	54%
72.4%		79%	73%	73%	71%	73%	62%	79%	70%	73%	76%	65%	78%	75%	72%	75%	67%	74%	71%	73%	69%	73%
72.7%		81%	81%	81%	74%	81%	60%	81%	71%	82%	71%	81%	45%	84%	61%	78%	78%	61%	63%	81%	71%	61%
81.3%		79%	90%	85%	70%	31%	82%	96%	85%	92%	74%	82%	92%	79%	92%	85%	84%	84%	72%	72%	93%	89%
69.4%		78%	67%	77%	76%	77%	67%	69%	77%	74%	71%	54%	62%	77%	64%	79%	80%	68%	61%	42%	67%	71%
57.7%		60%	54%	57%	51%	61%	42%	63%	52%	68%	57%	42%	60%	57%	47%	70%	66%	64%	53%	51%	65%	71%
47.2%		49%	52%	48%	48%	35%	53%	51%	46%	49%	48%	49%	50%	44%	48%	46%	46%	43%	53%	53%	28%	52%
74.7%		80%	75%	74%	86%	75%	72%	67%	69%	75%	80%	75%	75%	86%	75%	86%	78%	58%	68%	75%	75%	64%
78.9%		83%	83%	83%	70%	84%	69%	83%	84%	82%	80%	85%	68%	83%	71%	80%	83%	71%	78%	84%	68%	84%
69.6%		77%	71%	69%	71%	76%	47%	67%	76%	76%	75%	67%	59%	74%	61%	76%	82%	80%	83%	59%	64%	52%
63.6%		76%	71%	75%	75%	72%	56%	68%	72%	66%	75%	57%	62%	64%	51%	69%	60%	53%	48%	51%	62%	52%
65.8%		71%	68%	68%	66%	61%	54%	70%	63%	63%	80%	70%	59%	66%	62%	71%	68%	62%	64%	59%	73%	64%
78.2%		83%	82%	85%	83%	31%	84%	85%	87%	84%	85%	78%	79%	90%	89%	79%	85%	79%	62%	49%	90%	73%
75.6%		77%	84%	71%	84%	77%	67%	61%	82%	87%	80%	79%	78%	80%	84%	72%	76%	75%	69%	72%	72%	60%
57.3%		71%	51%	61%	71%	85%	41%	51%	62%	51%	62%	52%	42%	52%	49%	57%	60%	66%	62%	41%	58%	58%
48.1%		51%	48%	42%	42%	68%	31%	51%	44%	56%	56%	51%	28%	54%	42%	61%	64%	34%	61%	31%	48%	48%
60.8%		64%	62%	64%	66%	50%	58%	60%	63%	59%	65%	64%	58%	64%	63%	65%	61%	59%	62%	52%	62%	55%
57.5%		53%	61%	56%	55%	35%	60%	59%	61%	58%	55%	62%	60%	61%	55%	58%	53%	58%	63%	59%	64%	61%
70.5%		83%	77%	76%	76%	69%	64%	54%	74%	69%	72%	68%	71%	71%	77%	74%	72%	77%	79%	64%	35%	79%
50.6%		58%	43%	50%	44%	62%	68%	45%	70%	48%	47%	44%	54%	51%	68%	58%	60%	27%	28%	49%	39%	50%
73.6%		83%	78%	77%	84%	63%	67%	68%	74%	82%	84%	65%	56%	79%	86%	85%	79%	61%	74%	68%	67%	65%
50.7%		53%	43%	44%	44%	53%	63%	36%	56%	41%	47%	54%	63%	41%	68%	81%	70%	46%	26%	48%	43%	44%
81.0%		89%	85%	79%	79%	73%	69%	78%	77%	91%	80%	89%	69%	88%	93%	91%	78%	75%	83%	76%	78%	81%
83.8%		85%	90%	96%	94%	94%	74%	85%	86%	91%	80%	96%	70%	87%	82%	85%	89%	85%	77%	66%	80%	67%
50.7%		67%	56%	51%	51%	67%	42%	43%	46%	60%	46%	45%	46%	56%	51%	53%	49%	57%	53%	36%	45%	45%
57.0%		49%	49%	52%	46%	58%	49%	62%	67%	55%	57%	42%	58%	70%	67%	49%	55%	58%	63%	58%	70%	63%
63.8%		68%	65%	64%	64%	65%	60%	62%	61%	66%	57%	69%	60%	61%	65%	66%	66%	68%	60%	66%	63%	64%
87.1%		96%	81%	95%	95%	86%	71%	88%	95%	92%	91%	86%	72%	97%	88%	87%	97%	90%	83%	88%	80%	72%
69.7%		69%	69%	70%	70%	55%	64%	78%	68%	74%	69%	77%	72%	68%	70%	71%	71%	76%	77%	63%	66%	67%
90.8%		90%	96%	85%	74%	85%	88%	92%	98%	98%	85%	90%	98%	96%	97%	84%	85%	86%	98%	98%	85%	98%
81.0%		83%	86%	88%	75%	46%	85%	79%	81%	83%	82%	83%	82%	74%	84%	81%	86%	82%	74%	81%	89%	96%
61.2%		65%	61%	60%	77%	62%	47%	66%	71%	65%	69%	48%	56%	62%	59%	65%	65%	59%	55%	60%	59%	55%
60.1%		67%	69%	63%	74%	60%	55%	65%	64%	62%	65%	56%	68%	63%	53%	58%	61%	56%	50%	49%	56%	48%
66.7%		80%	61%	74%	77%	27%	65%	66%	62%	68%	78%	66%	42%	66%	68%	71%	72%	74%	63%	50%	81%	89%
67.6%		71%	66%	75%	77%	90%	61%	65%	73%	68%	71%	66%	48%	64%	66%	70%	70%	58%	68%	64%	70%	59%
59.5%		61%	60%	56%	56%	81%	50%	65%	56%	61%	56%	54%	56%	70%	64%	74%	63%	38%	65%	46%	57%	61%
67.8%		74%	63%	70%	82%	62%	63%	53%	76%	65%	72%	63%	76%	63%	61%	73%	74%	75%	74%	70%	48%	67%
69.6%		70%	71%	74%	70%	52%	74%	68%	75%	69%	70%	70%	68%	70%	66%	74%	71%	69%	72%	66%	68%	75%
56.7%		55%	49%	64%	49%	40%	46%	57%	64%	77%	61%	53%	51%	57%	57%	69%	78%	75%	41%	40%	59%	49%
73.9%		78%	78%	77%	80%	72%	73%	72%	77%	74%	73%	78%	76%	77%	74%	77%	74%	75%	57%	72%	76%	62%
46.5%		53%	48%	44%	50%	76%	32%	42%	40%	52%	50%	48%	25%	48%	43%	63%	53%	44%	54%	27%	43%	42%
75.2%		73%	78%	81%	69%	64%	79%	78%	78%	73%	60%	78%	76%	78%	79%	73%	76%	78%	73%	85%	75%	76%
68.6%		72%	77%	66%	66%	61%	57%	71%	73%	81%	73%	67%	66%	58%	71%	71%	76%	70%	62%	66%	71%	66%
66.4%		63%	68%	74%	66%	66%	55%	71%	61%	66%	68%	61%	65%	68%	62%	74%	66%	66%	67%	65%	76%	67%
85.0%		98%	74%	89%	74%	85%	95%	94%	98%	98%	98%	80%	72%	94%	73%	94%	97%	68%	68%	95%	52%	90%
61.1%		68%	62%	64%	69%	66%	63%	58%	66%	63%	59%	63%	56%	57%	67%	69%	66%	61%	47%	58%	48%	54%
79.7%		87%	82%	87%	80%	43%	88%	76%	85%	90%	89%	69%	66%	86%	90%	85%	93%	62%	56%	89%	82%	89%
73.1%		80%	79%	65%	78%	73%	68%	77%	76%	73%	78%	66%	71%	80%	71%	79%	76%	70%	65%	52%	78%	81%
60.3%		64%	67%	56%	63%	61%	44%	64%	70%	74%	67%	59%	50%	63%	52%	73%	68%	55%	40%	50%	64%	63%
61.9%		64%	60%	70%	72%	73%	57%	64%	57%	56%	67%	65%	56%	64%	56%	66%	62%	73%	56%	48%	60%	53%
60.0%		60%	63%	64%	75%	57%	64%	72%	49%	56%	63%	59%	43%	57%	65%	63%	60%	61%	74%	49%	45%	60%
87.0%		89%	85%	94%	92%	91%	96%	86%	74%	80%	85%	85%	86%	91%	91%	94%	97%	67%	92%	94%	79%	79%
62.0%		66%	66%	73%	62%	58%	68%	61%	57%	61%	71%	61%	58%	64%	58%	65%	59%	54%	52%	66%	58%	63%
73.0%		75%	75%	74%	74%	56%	74%	74%	73%	70%	74%	79%	76%	77%	77%	73%	76%	74%	67%	71%	78%	66%
84.0%		89%	91%	90%	96%	61%	84%	89%	85%	91%	79%	84%	66%	89%	85%	90%	88%	91%	91%	85%	51%	90%
72.2%		73%	72%	79%	74%	62%	61%	80%	77%	79%	72%	65%	68%	80%	81%	74%	76%	66%	59%	69%		77%
64.6%		59%	66%	68%	61%	43%	72%	72%	68%	60%	62%	71%	70%	66%	61%	57%	65%	65%	59%	69%	71%	71%
83.6%		90%	93%	88%	73%	72%	80%	88%	88%	88%	67%	86%	92%	88%	92%	79%	80%	84%	83%	87%	88%	70%
63.5%		65%	62%	64%	66%	64%	58%	61%	70%	65%	53%	61%	63%	69%	71%	62%	66%	71%	64%	70%	53%	55%
76.8%		79%	78%	79%	84%	85%	63%	78%	74%	79%	88%	72%	69%	79%	74%	83%	78%	81%	75%	69%	73%	73%
68.5%		66%	72%	80%	66%	43%	76%	78%	70%	67%	55%	78%	74%	74%	70%	62%	61%	74%	54%	78%	68%	73%
75.4%		89%	72%	84%	89%	67%	72%	62%	84%	72%	84%	75%	73%	72%	69%	77%	79%	79%	70%	72%	79%	64%
78.2%		86%	86%	75%	86%	72%	71%	75%	86%	78%	85%	86%	75%	85%	80%	77%	89%	69%	82%	73%	63%	63%
73.7%		65%	85%	78%	78%	78%	87%	72%	73%	76%	73%	82%	75%	78%	80%	69%	72%	66%	54%	74%	66%	66%
68.0%		70%	74%	68%	70%	77%	54%	73%	70%	73%	72%	75%	45%	66%	62%	75%	75%	68%	74%	56%	55%	77%
81.1%		85%	78%	85%	79%	77%	71%	96%	72%	85%	74%	89%	92%	68%	83%	77%	87%	92%	74%	72%	89%	79%
66.4%		66%	66%	66%	58%	62%	57%	71%	64%	71%	62%	73%	70%	69%	73%	67%	76%	61%	63%	62%	71%	66%
52.1%		56%	52%	61%	57%	58%	55%	51%	51%	49%	51%	46%	49%	53%	50%	56%	52%	53%	46%	49%	53%	47%
66.5%		65%	72%	75%	59%	66%	68%	74%	59%	66%	55%	74%	66%	66%	70%	58%	61%	70%	52%	72%	74%	74%
61.6%		60%	61%	63%	63%	55%	59%	55%	61%	63%	59%	69%	64%	61%	76%	61%	63%		68%	64%	56%	51%
77.7%		78%	77%	85%	84%	67%	69%	81%	81%	74%	74%	79%	74%	74%	76%	80%	78%	78%	79%	87%	80%	77%
72.8%		79%	81%	78%	74%	71%	69%	71%	63%	71%	73%	74%	69%	68%	57%	69%	74%	79%	72%	81%	81%	74%
64.4%		74%	60%	60%	68%	67%	47%	58%	59%	73%	61%	58%	59%	73%	67%	59%	60%	80%	78%	59%	66%	66%
76.0%		78%	80%	88%	80%	66%	55%	88%	77%	90%	84%	86%	74%	80%	72%	71%	89%	64%	93%	74%	53%	53%
64.6%		82%	71%	69%	77%	31%	60%	62%	64%	64%	66%	66%	62%	69%	69%	72%	66%	59%	56%	61%	69%	62%
74.6%		74%	80%	78%	78%	81%	71%	81%	78%	81%	77%	73%	77%	81%	72%	70%	75%	65%	72%	69%	62%	72%
51.2%		50%	53%	55%	50%	25%	69%	61%	62%	53%	52%	52%	58%	48%	55%	47%	47%	46%	39%	62%	41%	50%
71.4%		84%	70%	74%	74%	66%	65%	56%	72%	78%	69%	66%	56%	78%	76%	75%	72%	81%	92%	68%	72%	56%
70.8%		72%	69%	76%	79%	61%	82%	64%	80%	58%	85%	67%	70%	74%	71%	69%	73%	59%	61%	68%	80%	68%
82.0%		90%	90%	90%	72%	52%	84%	80%	91%	91%	73%	89%	76%	90%	85%	78%	84%	85%	82%	85%	82%	72%
62.7%		74%	65%	54%	75%	97%	39%	61%	58%	67%	78%	68%	38%	65%	62%	74%	75%	48%	69%	50%	61%	38%
72.3%		67%	78%	78%	61%	75%	73%	68%	75%	61%	76%	80%	60%	78%	67%	79%	78%	52%	65%	80%	80%	88%
62.6%		70%	65%	65%	65%	22%	66%	65%	72%	68%	65%	68%	55%	70%	54%	68%	61%	59%	78%	52%	49%	77%
70.3%		74%	72%	67%	67%	80%	64%	68%	67%	72%	72%	63%	73%	68%	76%	72%	71%	72%	78%	60%	73%	68%
81.6%		83%	88%	83%	88%	86%	79%	86%	79%	79%	76%	88%	94%	67%	77%	88%	86%	52%	66%	88%	86%	94%
84.0%		75%	92%	97%	85%	89%	69%	92%	92%	91%	80%	94%	86%	92%	94%	73%	87%	84%	61%	85%	85%	61%
73.8%		66%	66%	81%	68%	76%	59%	79%	81%	81%	79%	64%	78%	81%	80%	81%	79%	80%	77%	59%	69%	66%
68.1%		66%	72%	70%	78%	66%	52%	78%	62%	69%	57%	78%	69%	68%	52%	80%	76%	74%	71%	54%	68%	71%
68.6%		81%	80%	66%	66%	78%	59%	77%	74%	81%	71%	82%	57%	74%	75%	67%	75%	59%	70%	65%	54%	29%
56.4%		66%	53%	56%	66%	80%	32%	55%	50%	61%	73%	64%	40%	69%	66%	72%	72%	48%	35%	43%	43%	41%
58.6%		67%	60%	67%	53%	65%	64%	59%	55%	59%	59%	53%	48%	62%	70%	52%	54%	53%	50%	71%		51%
73.2%		81%	77%	73%	90%	80%	72%	68%	66%	82%	84%	73%	64%	77%	70%	77%	81%	82%	47%	51%	66%	77%
79.6%		84%	82%	84%	84%	72%	71%	71%	82%	82%	76%	80%	81%	80%	83%	81%	82%	76%	80%	75%	83%	82%
69.4%		84%	64%	72%	75%	70%	62%	66%	72%	72%	74%	53%	51%	68%	59%	74%	85%	91%	83%	54%	76%	53%
79.0%		92%	74%	83%	75%	81%	75%	80%	75%	76%	80%	76%	75%	88%	76%	86%	88%	72%	79%	72%	80%	75%
64.0%		62%	72%	71%	66%	51%	71%	70%	68%	61%	53%	68%	64%	68%	65%	63%	63%	64%	56%	64%	55%	68%
78.0%		80%	74%	69%	75%	78%	94%	74%	80%	80%	80%	74%	71%	74%	91%	89%	96%	74%	65%	74%	74%	71%
70.5%		70%	73%	75%	70%	70%	75%	75%	70%	64%	68%	75%	67%	68%	71%	69%	72%	76%	58%	71%	70%	74%

Model Similarity Dendrogram

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