DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 Country%3Abangladesh C5 - Run df38f77...

Global Dialogues GD3 - Bangladesh (5 context Qs)

DTEF: Predict response distributions for Bangladesh. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

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Best Models (Coverage)

1.Claude Sonnet 4
74.3%
2.GPT 5.1
73.6%
3.Claude Haiku 4.5
73.2%
4.Claude Sonnet 4.5
73.1%
5.Claude 3.7 Sonnet
72.8%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

58.4% similarity

👯 Most Similar Models

Claude Sonnet 4vsGPT 4o

91.2% 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

	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
Score	5th 72.8%	3rd 73.2%	1st 74.3%	4th 73.1%	20th 63.7%	19th 64.0%	10th 71.3%	7th 72.0%	8th 71.6%	10th 71.3%	15th 68.4%	13th 69.3%	9th 71.5%	12th 70.4%	6th 72.4%	2nd 73.6%	14th 69.3%	16th 66.4%	18th 64.6%	17th 65.7%	21st 58.8%
74.4%	73%	84%	82%	75%	50%	62%	77%	82%	80%	77%	87%	77%	73%	84%	80%	79%	77%	75%	63%	60%	66%
78.0%	77%	85%	87%	73%	56%	83%	80%	87%	70%	73%	81%	82%	92%	86%	78%	66%	58%	77%	89%	89%	70%
81.2%	86%	84%	86%	93%	65%	89%	75%	83%	70%	93%	86%	86%	86%	91%	75%	84%	82%	65%	86%	75%	65%
63.0%	68%	67%	67%	65%	52%	57%	68%	57%	62%	67%	62%	73%	67%	48%	62%	63%	73%	62%	52%	74%	57%
80.6%	71%	92%	71%	71%	92%	67%	67%	82%	83%	100%	92%	69%	87%	89%	75%	75%	96%	86%	82%	92%	53%
77.1%	71%	78%	71%	80%	80%	77%	86%	88%	77%	77%	80%	80%	81%	73%	80%	80%	77%	82%	73%	68%	60%
68.6%	75%	66%	71%	76%	59%	71%	70%	69%	80%	56%	69%	76%	54%	76%	68%	76%	79%	81%	66%	47%	55%
79.6%	91%	80%	83%	76%	49%	55%	79%	93%	87%	72%	77%	86%	83%	81%	79%	100%	93%	96%	52%	81%	79%
77.3%	67%	79%	93%	93%	55%	62%	73%	83%	83%	83%	83%	75%	89%	76%	84%	78%	76%	81%	76%	83%	52%
82.2%	89%	91%	91%	89%	73%	84%	91%	76%	80%	88%	88%	73%	91%	76%	79%	76%	79%	77%	76%	79%	80%
75.1%	83%	92%	86%	86%	53%	83%	81%	77%	82%	86%	81%	88%	86%	75%	76%	86%	73%	63%	65%	0%
67.2%	82%	67%	67%	74%	65%	71%	63%	67%	62%	67%	66%	69%	63%	61%	69%	73%	65%	43%	68%	72%	77%
74.1%	65%	86%	81%	71%	64%	70%	75%	78%	76%	88%	87%	63%	89%	76%	81%	80%	83%	57%	70%	79%	38%
70.4%	80%	92%	79%	59%	47%	70%	82%	72%	80%	54%	52%	89%	61%	89%	60%	65%	80%	77%	83%	63%	45%
67.3%	79%	64%	75%	80%	67%	67%	79%	83%	79%	58%	54%	90%	70%	70%	64%	54%	65%	58%	48%	72%	38%
60.6%	59%	65%	73%	71%	51%	46%	59%	64%	67%	66%	51%	60%	74%	51%	66%	69%	58%	68%	51%	49%	55%
58.2%	73%	74%	82%	64%	89%	37%	64%	50%	58%	64%	54%	46%	42%	52%	65%	69%	34%	36%	58%	55%	57%
67.5%	82%	65%	72%	92%	59%	42%	46%	71%	63%	62%	54%	61%	83%	61%	77%	76%	77%	73%	58%	68%	76%
41.3%	46%	29%	52%	35%	67%	34%	42%	48%	40%	38%	42%	26%	38%	41%	52%	57%	38%	36%	27%	42%	38%
68.0%	76%	50%	72%	77%	77%	68%	62%	70%	71%	76%	52%	74%	67%	59%	75%	74%	80%	72%	67%	44%	66%
77.0%	62%	88%	88%	69%	45%	75%	90%	82%	86%	76%	80%	77%	88%	78%	81%	77%	82%	88%	54%	80%	71%
72.1%	62%	77%	83%	67%	75%	69%	82%	75%	84%	72%	69%	79%	81%	76%	73%	76%	80%	78%	62%	64%	30%
68.7%	57%	65%	65%	65%	57%	80%	76%	74%	68%	67%	67%	63%	68%	94%	63%	70%	77%	69%	68%	68%	62%
69.8%	66%	81%	74%	69%	83%	79%	71%	67%	73%	85%	79%	30%	79%	72%	71%	73%	74%	49%	78%	71%	42%
58.2%	57%	61%	58%	49%	46%	65%	63%	63%	61%	46%	65%	63%	49%	54%	56%	64%	63%	65%	61%	53%	60%
53.7%	54%	53%	57%	47%	35%	61%	54%	66%	55%	45%	51%	60%	57%	71%	42%	60%	51%	66%	63%	55%	25%
62.2%	71%	67%	71%	71%	52%	41%	46%	66%	60%	70%	51%	62%	63%	59%	70%	71%	64%	62%	60%	56%	74%
56.6%	72%	53%	49%	74%	94%	38%	65%	57%	67%	68%	44%	49%	53%	38%	74%	60%	46%	33%	32%	45%	78%
64.3%	76%	71%	71%	80%	71%	56%	67%	58%	63%	56%	61%	66%	63%	56%	68%	67%	56%	53%	67%	66%	59%
77.3%	77%	80%	79%	87%	72%	52%	78%	77%	73%	76%	69%	82%	82%	80%	92%	82%	77%	89%	89%	74%	56%
75.8%	93%	76%	86%	90%	81%	59%	87%	81%	82%	86%	61%	84%	76%	71%	86%	83%	64%	65%	56%	71%	54%
70.6%	67%	70%	67%	61%	89%	65%	79%	70%	84%	61%	67%	67%	67%	63%	61%	70%	72%	89%	67%	79%	67%
59.7%	63%	61%	63%	68%	44%	65%	53%	60%	49%	68%	63%	63%	63%	67%	68%	61%	59%	44%	63%	82%	26%
77.4%	83%	90%	84%	72%	67%	81%	84%	85%	92%	73%	73%	78%	77%	85%	82%	91%	80%	86%	65%	45%	53%
61.4%	67%	66%	67%	57%	26%	65%	64%	53%	67%	65%	68%	53%	65%	75%	72%	71%	47%	52%	65%	59%	66%
71.5%	86%	82%	69%	89%	76%	59%	82%	70%	79%	89%	69%	69%	79%	67%	84%	93%	54%	49%	45%	70%	41%
70.8%	75%	71%	76%	83%	64%	62%	85%	79%	75%	60%	57%	80%	65%	70%	73%	72%	68%	63%	68%	70%	71%
80.6%	71%	86%	78%	78%	93%	72%	73%	84%	78%	78%	93%	86%	84%	88%	86%	86%	75%	88%	77%	94%	44%
58.5%	72%	57%	72%	72%	33%	54%	64%	68%	55%	68%	53%	60%	60%	49%	67%	56%	59%	42%	45%	60%	63%
93.7%	100%	98%	100%	94%	78%	97%	89%	97%	83%	94%	100%	100%	100%	95%	94%	98%	95%	78%	100%	89%	89%
71.1%	75%	66%	74%	68%	65%	59%	77%	77%	81%	91%	64%	49%	74%	67%	79%	81%	73%	62%	62%	78%	72%
56.0%	64%	56%	54%	58%	47%	42%	54%	54%	55%	60%	58%	62%	54%	63%	58%	54%	53%	55%	54%	47%	74%
66.4%	68%	82%	68%	74%	74%	59%	63%	55%	59%	66%	82%	56%	52%	76%	70%	67%	69%	64%	67%	56%	67%

Model Similarity Dendrogram

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