DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 Country%3Aunited Kingdom C5 - Run e1cc506...

Global Dialogues GD3 - United Kingdom (5 context Qs)

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

TAGS:

Instruction Following & Prompt Adherence

Reasoning

General Knowledge

Efficiency & Succinctness

Best Models (Coverage)

1.Claude 3.7 Sonnet
79.8%
2.Claude Sonnet 4.5
78.7%
3.Claude Haiku 4.5
78.5%
4.Claude Sonnet 4
78.0%
5.GPT 5.1
77.8%

🔀 Least Similar Models

Gemini 2.5 FlashvsMistral Large 2411

76.5% similarity

👯 Most Similar Models

GPT 4.1 MinivsGPT 4o Mini

90.1% 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 4.1 Fast
Score	1st 79.8%	3rd 78.5%	4th 78.0%	2nd 78.7%	15th 74.7%	20th 72.8%	7th 77.0%	14th 75.0%	11th 76.4%	8th 76.9%	6th 77.5%	12th 75.4%	9th 76.8%	17th 74.3%	10th 76.7%	5th 77.8%	19th 74.0%	21st 70.8%	18th 74.2%	16th 74.5%	12th 75.4%
77.8%	79%	79%	74%	74%	85%	77%	78%	71%	75%	68%	82%	85%	75%	85%	71%	82%	73%	81%	87%	84%	69%
85.8%	87%	84%	88%	85%	86%	86%	88%	86%	85%	88%	85%	84%	82%	85%	85%	91%	85%		85%	85%	85%
67.5%	68%	70%	72%	70%	60%	75%	62%	74%	64%	75%	72%	72%	68%	70%	60%	68%	66%	62%	65%	62%	62%
84.5%	85%	86%	84%	90%	76%	71%	93%	88%	84%	93%	82%	93%	85%	77%	85%	79%	84%	82%	76%	91%	90%
90.7%	94%	92%	94%	93%	92%	96%	94%	94%	91%	96%	95%	91%	97%	95%	91%	91%	87%	79%	97%	81%	65%
92.1%	97%	93%	93%	93%	92%	98%	97%	92%	90%	94%	98%	88%	84%	82%	85%	93%	91%	95%	97%	87%	95%
86.3%	91%	86%	91%	91%	87%	84%	89%	84%	86%	85%	90%	96%	88%	88%	77%	89%	85%	91%	84%	76%	74%
82.5%	94%	80%	82%	82%	75%	60%	81%	89%	80%	80%	90%	87%	87%	79%	90%	91%	80%	89%	77%	75%	85%
80.1%	80%	76%	70%	77%	75%	70%	75%	80%	80%	82%	78%	83%	78%	78%	83%	80%	97%		78%	96%	86%
82.7%	88%	76%	80%	85%	90%	74%	80%	78%	83%	91%	88%	92%	91%	77%	81%	80%	76%	77%	74%	84%	92%
66.5%	75%	76%	79%	79%	64%	78%	63%	77%	70%	55%	67%	62%	56%	47%	67%	65%	41%	35%	86%	79%	76%
84.3%	86%	88%	83%	91%	83%	90%	75%	85%	79%	88%	84%	88%	93%	81%	83%	93%	79%	71%	81%	79%	91%
78.3%	85%	85%	88%	76%	75%	70%	82%	82%	83%	81%	81%	67%	80%	78%	77%	75%	75%	75%	73%	78%	78%
72.4%	74%	83%	75%	72%	79%	75%	81%	63%	67%	67%	74%	72%	70%	75%	79%	76%	66%	59%	77%	64%	72%
68.1%	70%	74%	69%	69%	63%	63%	72%	69%	68%	68%	72%	68%	73%	70%	68%	64%	67%	67%	65%	70%	61%
73.9%	76%	74%	77%	80%	76%	74%	71%	70%	74%	75%	73%	74%	72%	77%	79%	74%	63%	71%	76%	75%	70%
65.4%	68%	85%	75%	65%	66%	58%	69%	49%	61%	65%	63%	54%	60%	64%	81%	74%	54%	58%	65%	62%	77%
69.7%	83%	69%	69%	69%	66%	58%	62%	78%	68%	66%	72%	72%	75%	63%	76%	75%	84%	43%	67%	76%	72%
59.6%	70%	46%	73%	63%	58%	43%	62%	66%	55%	73%	63%	51%	67%	54%	75%	76%	50%	54%	41%	57%	54%
65.6%	70%	60%	59%	69%	70%	69%	63%	63%	68%	67%	68%	64%	72%	62%	58%	62%	68%	59%	65%	67%	74%
79.7%	86%	85%	85%	88%	88%	72%	83%	75%	85%	76%	79%	80%	81%	84%	86%	87%	82%	72%	68%	63%	69%
76.1%	86%	83%	78%	81%	75%	67%	81%	79%	79%	73%	78%	70%	82%	71%	77%	81%	76%	67%	65%	76%	73%
78.6%	85%	87%	87%	88%	71%	78%	74%	80%	79%	80%	75%	73%	73%	72%	82%	79%	79%	73%	85%	78%	73%
75.5%	78%	72%	77%	80%	74%	72%	81%	75%	86%	76%	77%	68%	76%	75%	74%	76%	74%	68%	69%	81%	76%
68.8%	72%	82%	71%	71%	71%	71%	75%	55%	69%	71%	75%	69%	67%	73%	62%	70%	59%	61%	74%	67%	59%
62.4%	65%	68%	63%	69%	61%	69%	64%	50%	59%	67%	63%	56%	62%	71%	63%	63%	71%	61%	62%	55%	48%
77.2%	78%	78%	75%	74%	76%	52%	78%	80%	82%	71%	71%	84%	84%	74%	82%	83%	78%	80%	82%	79%	80%
72.5%	77%	80%	72%	76%	77%	52%	75%	77%	78%	71%	75%	67%	75%	64%	80%	77%	67%	77%	59%	68%	78%
72.5%	79%	77%	75%	79%	77%	72%	73%	63%	67%	69%	67%	73%	66%	66%	77%	77%	75%	70%	69%	77%	75%
80.2%	83%	92%	77%	79%	76%	78%	75%	90%	85%	73%	88%	88%	85%	77%	74%	81%	88%	77%	84%	61%	73%
74.7%	80%	75%	77%	79%	80%	74%	74%	73%	75%	74%	79%	68%	71%	73%	78%	77%	73%	62%	75%	73%	79%
66.4%	66%	64%	62%	64%	75%	59%	73%	60%	70%	60%	62%	62%	66%	65%	73%	64%	71%	62%	70%	73%	73%
79.8%	79%	81%	83%	81%	70%	86%	72%	85%	75%	86%	83%	83%	79%	80%	72%	81%	72%	83%	75%	97%	72%
73.1%	68%	73%	69%	66%	61%	77%	74%	70%	80%	74%	75%	76%	81%	73%	66%	64%	78%	71%	72%	94%	73%
75.0%	84%	75%	79%	79%	40%	83%	73%	79%	73%	86%	79%	80%	86%	82%	74%	72%	68%	78%	64%	69%	71%
78.3%	79%	82%	83%	82%	82%	67%	79%	84%	83%	82%	72%	72%	78%	66%	80%	86%	77%	77%	70%	78%	85%
86.8%	92%	94%	89%	89%	77%	83%	93%	81%	90%	87%	87%	84%	88%	87%	92%	89%	87%	84%	74%	85%	90%
81.8%	90%	77%	90%	98%	94%	80%	94%	78%	94%	88%	91%	63%	85%	75%	82%	84%	64%	66%	78%	53%	93%
64.5%	71%	65%	73%	73%	64%	66%	64%	60%	59%	68%	63%	60%	59%	63%	68%	69%	62%	57%	64%	63%	63%
91.8%	93%	91%	89%	91%	98%	86%	100%	87%	97%	86%	89%	89%	93%	92%	95%	91%	98%	89%	97%	77%	100%
77.1%	86%	83%	82%	81%	72%	72%	76%	78%	70%	88%	83%	77%	78%	79%	75%	70%	76%	70%	75%	74%	75%
81.0%	89%	83%	83%	82%	82%	80%	86%	81%	79%	90%	72%	90%	73%	77%	79%	86%	80%	77%	79%	73%	79%
59.8%	45%	66%	59%	61%	55%	65%	58%	46%	59%	52%	74%	66%	63%	71%	56%	61%	56%		66%	60%	56%

Model Similarity Dendrogram

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