DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A18 25 C10 - Run 44a0d1a...

Global Dialogues GD3 - 18-25 (10 context Qs)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Reasoning

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.2%
2.GPT 5.1
83.6%
3.GPT 5
83.3%
4.GPT 4.1
82.9%
5.GPT 4o
82.5%

🔀 Least Similar Models

Claude Sonnet 4vsGPT OSS 20b

69.8% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

88.9% 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	1st 85.2%	19th 76.7%	16th 77.7%	11th 80.6%	8th 81.9%	18th 76.8%	10th 81.4%	6th 82.0%	9th 81.5%	4th 82.9%	7th 81.9%	14th 78.1%	5th 82.5%	17th 76.9%	3rd 83.3%	2nd 83.6%	13th 79.2%	20th 75.7%	12th 79.9%	15th 78.0%	21st 75.3%
85.2%	90%	88%	89%	87%	81%	70%	81%	89%	87%	84%	82%	90%	87%	81%	88%	95%	85%	87%	86%	76%
85.7%	86%	92%	91%	86%	59%	97%	90%	93%	90%	86%	81%	90%	89%	87%	85%	84%	72%	80%	93%	82%
58.8%	71%	0%	0%	58%	58%	73%	68%	72%	58%	73%	73%	75%	69%	68%	66%	59%	62%	62%	62%	49%
90.8%	95%	87%	95%	92%	93%	87%	94%	94%	97%	93%	96%	90%	97%	89%	87%	69%	86%	93%	91%	90%	91%
91.3%	98%	87%	90%	88%	88%	98%	92%	89%	89%	92%	98%	95%	95%	94%	95%	93%	93%	75%	88%	90%
78.1%	85%	88%	84%	87%	82%	75%	79%	85%	76%	74%	80%	70%	84%	73%	81%	69%	73%	68%	80%	70%
87.6%	87%	84%	87%	85%	81%	91%	79%	91%	91%	90%	89%	95%	82%	89%	85%	92%	92%	90%	80%	92%
76.5%	87%	77%	72%	81%	75%	50%	74%	89%	76%	77%	72%	72%	81%	68%	89%	86%	83%	78%	66%	77%
87.4%	81%	90%	90%	88%	88%	70%	79%	87%	87%	96%	92%	87%	90%	90%	85%	90%	87%	92%	87%	92%
85.5%	92%	90%	86%	91%	90%	92%	77%	69%	82%	86%	90%	90%	81%	90%	88%	80%	72%	75%	90%	90%	94%
86.7%	92%	83%	92%	95%	92%	94%	93%	86%	89%	82%	93%	91%	77%	80%	89%	92%	76%	60%	85%	93%
87.4%	89%	90%	96%	98%	94%	84%	90%	87%	93%	82%	86%	94%	75%	82%	88%	90%	83%	64%	91%	91%
80.4%	74%	85%	80%	86%	87%	85%	81%	82%	81%	85%	90%	77%	86%	88%	72%	85%	71%	67%	84%	71%	71%
86.8%	94%	89%	92%	97%	89%	74%	91%	87%	91%	92%	80%	71%	95%	68%	89%	96%	87%	74%	91%	88%
86.2%	88%	91%	92%	88%	90%	87%	90%	88%	88%	83%	89%	80%	89%	89%	84%	83%	87%	83%	84%	71%
86.3%	91%	91%	88%	88%	88%	69%	84%	90%	89%	92%	83%	84%	92%	77%	89%	93%	79%	86%	87%	85%
62.0%	70%	70%	70%	63%	67%	54%	67%	54%	55%	59%	58%	54%	50%	54%	64%	72%	61%	64%	69%	64%
77.0%	94%	73%	86%	86%	88%	53%	68%	84%	77%	79%	72%	70%	81%	60%	80%	78%	83%	70%	78%	79%
68.5%	64%	56%	79%	63%	59%	51%	71%	81%	75%	81%	77%	51%	86%	63%	81%	91%	80%	42%	52%	67%	68%
86.9%	93%	96%	95%	95%	90%	77%	95%	79%	80%	95%	86%	81%	86%	79%	90%	86%	80%	84%	86%		84%
88.3%	84%	93%	85%	87%	95%	78%	94%	88%	94%	91%	90%	92%	97%	83%	86%	92%	92%	74%	82%	88%
85.8%	89%	89%	89%	82%	85%	74%	90%	88%	89%	89%	81%	90%	87%	81%	85%	91%	88%	87%	77%
76.9%	72%	65%	85%	74%	88%	89%	87%	85%	68%	72%	85%	67%	89%	78%	78%	74%	69%	64%	85%	72%	68%
84.5%	85%	89%	90%	89%	78%	91%	82%	83%	84%	90%	90%	78%	84%	87%	90%	87%	79%	74%	83%	77%
82.0%	79%	89%	88%	81%	84%	78%	91%	86%	88%	90%	92%	66%	88%	68%	80%	87%	92%	73%	89%	70%	62%
74.5%	72%	80%	78%	79%	78%	78%	73%	65%	74%	78%	80%	79%	74%	79%	69%	76%	65%	81%	78%	54%
75.0%	83%	78%	78%	84%	82%	57%	70%	80%	76%	82%	60%	75%	78%	59%	82%	82%	77%	70%	72%	74%
78.0%	86%	85%	74%	80%	87%	62%	75%	92%	85%	79%	77%	67%	81%	61%	85%	91%	82%	67%	63%	82%
69.9%	84%	88%	83%	86%	82%	58%	67%	61%	71%	66%	65%	56%	56%	57%	83%	66%	62%	65%	65%	77%	69%
77.2%	79%	84%	81%	88%	79%	68%	63%	78%	80%	75%	79%	67%	79%	71%	77%	83%	86%	67%	74%	86%
84.8%	89%	79%	88%	87%	84%	87%	84%	81%	86%	87%	85%	82%	83%	89%	86%	87%	83%	86%	85%	78%
67.0%	75%	0%	0%	0%	89%	73%	78%	74%	89%	73%	73%	72%	77%	78%	80%	79%	80%	85%	85%	79%
52.3%	65%	0%	0%	0%	53%	67%	62%	66%	53%	67%	67%	68%	63%	62%	63%	60%	56%	56%	56%	62%
82.8%	91%	84%	86%	94%	81%	78%	79%	82%	83%	87%	79%	75%	78%	77%	89%	92%	83%	84%	76%	77%	84%
74.0%	90%	84%	80%	81%	76%	72%	63%	70%	69%	68%	59%	63%	68%	71%	84%	79%	81%	66%	91%	71%	69%
84.5%	91%	90%	95%	91%	75%	84%	91%	91%	80%	90%	88%	78%	89%	76%	77%	87%	83%	79%	77%	79%
88.1%	87%	92%	87%	84%	83%	88%	91%	83%	89%	85%	94%	88%	89%	86%	90%	90%	87%	91%	91%	88%
84.9%	96%	88%	96%	88%	83%	97%	89%	92%	90%	96%	88%	76%	97%	73%	94%	89%	67%	68%	83%	48%
81.7%	96%	85%	87%	84%	86%	70%	87%	89%	83%	84%	79%	78%	81%	64%	92%	85%	82%	77%	64%	80%
85.2%	98%	0%	0%	88%	88%	96%	99%	97%	88%	96%	96%	94%	100%	99%	98%	92%	92%	92%	92%	99%
82.5%	86%	84%	83%	80%	96%	73%	81%	81%	94%	80%	86%	76%	79%	79%	82%	86%	69%	85%	82%	89%
79.3%	85%	86%	78%	78%	78%	71%	85%	84%	77%	86%	75%	81%	82%	80%	82%	79%	78%	80%	78%	75%	68%
76.9%	81%	77%	78%	77%	72%	81%	78%	53%	62%	71%	88%	82%	77%	81%	76%	79%	82%	91%	77%	74%

Model Similarity Dendrogram

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