DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A56 65 C10 - Run 53cabd7...

Global Dialogues GD3 - 56-65 (10 context Qs)

DTEF: Predict response distributions for 56-65. 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
78.3%
2.Claude Sonnet 4.5
77.7%
3.Claude Sonnet 4
77.7%
4.Mistral Large 2411
77.5%
5.GPT 5
77.5%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

65.2% similarity

👯 Most Similar Models

Llama 4 MaverickvsGPT 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

	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 78.3%	7th 76.7%	3rd 77.7%	2nd 77.7%	12th 75.7%	20th 70.8%	10th 75.8%	4th 77.5%	9th 76.6%	13th 74.8%	11th 75.8%	17th 72.3%	8th 76.7%	16th 72.9%	5th 77.5%	6th 77.4%	14th 73.7%	21st 69.7%	15th 73.1%	18th 71.9%	19th 71.2%
82.2%	85%	85%	80%	80%	85%	75%	74%	87%	85%	80%	78%	81%	90%	84%	90%	93%	80%	77%	77%	80%	80%
61.4%	65%	61%	62%	64%	54%	64%	63%	58%	60%	65%	65%	66%	64%	60%	59%	61%	59%	50%	65%	60%	65%
74.1%	81%	70%	80%	68%	68%	80%	77%	77%	70%	82%	78%	82%	77%	80%	70%	75%	76%	72%	62%	66%	66%
85.6%	94%	71%	90%	90%	90%	85%	91%	90%	78%	94%	91%	90%	94%	79%	80%	91%	73%	78%	76%	87%	86%
82.6%	71%	83%	75%	75%	80%	72%	83%	87%	85%	75%	83%	95%	87%	90%	83%	95%	94%	92%	79%	75%	75%
85.0%	91%	95%	100%	94%	95%	87%	79%	79%	83%	90%	86%	78%	75%	71%	91%	88%	73%	87%	76%	78%	88%
68.8%	69%	61%	59%	63%	61%	69%	58%	74%	65%	63%	72%	80%	67%	71%	81%	69%	82%	83%	60%	59%	78%
73.9%	80%	75%	76%	76%	73%	47%	70%	86%	83%	75%	68%	88%	78%	60%	78%	87%	80%	51%	76%	72%	73%
75.5%	82%	79%	74%	67%	74%	67%	70%	75%	72%	75%	79%	86%	79%	70%	79%	83%	90%	64%	79%	75%	66%
83.5%	90%	85%	75%	86%	90%	74%	81%	88%	79%	90%	90%	78%	88%	90%	83%	80%	76%	67%	90%	90%	83%
75.4%	81%	74%	86%	82%	74%	91%	86%	96%	79%	64%	83%	86%	55%	75%	70%	74%	58%	37%	83%	71%	79%
67.6%	81%	66%	67%	75%	83%	73%	67%	61%	67%	55%	62%	69%	58%	68%	68%	64%	71%	60%	69%	68%	68%
77.2%	78%	78%	80%	80%	92%	82%	80%	75%	86%	78%	92%	58%	88%	94%	83%	66%	58%	68%	90%	58%	58%
77.0%	69%	84%	69%	84%	63%	76%	60%	90%	84%	72%	87%	60%	81%	78%	72%	89%	65%	92%	80%	78%	83%
82.4%	89%	86%	90%	77%	85%	83%	83%	76%	91%	77%	84%	84%	90%	84%	89%	84%	89%	77%	76%	62%	74%
73.2%	82%	77%	78%	81%	71%	62%	74%	80%	72%	80%	72%	59%	81%	65%	81%	77%	72%	69%	66%	71%	67%
73.2%	82%	83%	88%	90%	70%	67%	80%	60%	78%	71%	68%	65%	66%	72%	78%	82%	60%	54%	74%	80%	69%
54.7%	61%	59%	61%	61%	62%	34%	47%	63%	58%	53%	46%	38%	59%	38%	60%	52%	71%	47%	46%	78%	55%
61.1%	74%	48%	70%	65%	67%	46%	67%	72%	69%	73%	59%	33%	65%	63%	69%	71%	65%	51%	49%	64%	43%
69.5%	66%	64%	70%	74%	69%	68%	72%	72%	74%	74%	72%	61%	72%	64%	69%	59%	69%	75%	80%	61%	74%
75.7%	82%	82%	71%	71%	80%	60%	82%	78%	82%	71%	76%	79%	82%	58%	82%	76%	85%	78%	61%	77%	77%
83.2%	77%	83%	91%	83%	90%	71%	94%	88%	94%	80%	81%	84%	94%	81%	88%	85%	82%	77%	67%	78%	80%
69.9%	72%	71%	72%	72%	72%	77%	70%	70%	65%	73%	71%	68%	72%	83%	66%	67%	65%	60%	75%	66%	60%
78.0%	79%	83%	81%	82%	89%	88%	78%	74%	87%	78%	81%	59%	82%	86%	77%	85%	59%	79%	85%	66%	59%
70.1%	72%	72%	73%	73%	71%	64%	73%	76%	72%	75%	76%	54%	70%	66%	73%	70%	77%	84%	74%	49%	59%
67.6%	72%	71%	70%	70%	69%	66%	63%	64%	62%	78%	63%	65%	70%	71%	71%	72%	69%	65%	68%		54%
63.7%	75%	65%	58%	64%	74%	48%	54%	80%	62%	58%	51%	53%	65%	50%	71%	68%	73%	77%	65%	72%	55%
81.9%	93%	90%	87%	91%	75%	63%	89%	93%	84%	80%	83%	83%	79%	66%	93%	90%	87%	83%	70%	55%	86%
72.3%	84%	86%	79%	79%	84%	67%	85%	75%	66%	64%	72%	64%	75%	60%	70%	76%	68%	60%	67%	71%	67%
72.0%	79%	78%	79%	83%	92%	59%	60%	81%	73%	73%	64%	78%	68%	59%	76%	71%	65%	82%	74%	58%	59%
76.2%	79%	77%	79%	79%	53%	74%	86%	77%	83%	75%	81%	85%	77%	74%	77%	79%	69%	66%	74%	79%	77%
79.9%	78%	85%	74%	81%	87%	74%	77%	77%	85%	73%	77%	73%	77%	74%	85%	79%	79%	96%	93%	64%	89%
85.0%	86%	79%	90%	83%	77%	90%	87%	87%	79%	91%	87%	91%	87%	90%	79%	85%	87%	85%	71%	100%	75%
72.0%	78%	74%	73%	82%	82%	73%	72%	72%	76%	72%	68%	61%	72%	61%	82%		73%	73%	63%	61%	72%
69.1%	69%	77%	76%	69%	49%	55%	70%	70%	78%	60%	59%	66%	72%	72%	80%	77%	82%	70%	67%	71%	63%
71.9%	65%	77%	77%	78%	63%	75%	76%	80%	64%	78%	77%	70%	77%	73%	70%	69%	77%	44%	64%	83%	72%
84.1%	89%	90%	90%	91%	94%	75%	91%	81%	87%	85%	89%	85%	89%	80%	90%	89%	66%	61%	80%	76%	89%
88.0%	86%	90%	91%	91%	88%	96%	91%	95%	88%	88%	94%	77%	94%	85%	93%	92%	85%	89%	90%	63%	81%
78.3%	82%	83%	88%	89%	70%	69%	86%	80%	84%	86%	81%	76%	84%	67%	79%	80%	63%	68%	80%	79%	70%
62.2%	63%	57%	67%	60%	55%	67%	64%	64%	57%	68%	64%	68%	64%	67%	55%	62%	63%	63%	49%	76%	53%
73.7%	82%	80%	82%	77%	72%	68%	77%	82%	79%	76%	78%	60%	75%	71%	71%	77%	77%	27%	84%	81%	72%
81.0%	84%	78%	79%	83%	83%	78%	87%	80%	83%	82%	85%	87%	80%	93%	83%	78%	70%	70%	83%	73%	83%
82.4%	72%	87%	83%	78%	78%	86%	87%	64%	84%	66%	85%	86%	79%	93%	88%	83%	87%	90%	87%	89%	78%

Model Similarity Dendrogram

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