DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 AiConcern%3Amore Concerned Than Excited - Run 489ee4b...

Global Dialogues GD3 - More concerned than excited

DTEF: Predict response distributions for More concerned than excited. 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
83.2%
2.GPT 5.1
83.1%
3.Llama 4 Maverick
81.9%
4.Mistral Large 2411
81.3%
5.GPT 5
80.9%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

78.1% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

92.9% similarity

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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	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 83.2%	8th 79.6%	6th 80.4%	7th 80.2%	16th 74.3%	21st 68.5%	3rd 81.9%	4th 81.3%	10th 78.8%	11th 78.4%	13th 76.4%	19th 73.4%	9th 78.9%	15th 75.2%	5th 80.9%	2nd 83.1%	17th 74.0%	18th 73.5%	14th 75.4%	20th 73.0%	12th 76.9%
83.2%	81%	92%	87%	83%	72%	70%	87%	90%	89%	88%	82%	86%	88%	69%	85%	90%	80%	81%	82%	83%	82%
85.7%	84%	91%	84%	87%	98%	94%	87%	94%	96%	93%	79%	80%	94%	81%	83%	81%	73%	76%	76%	80%	88%
63.6%	70%	50%	53%	61%	83%	39%	69%	69%	53%	74%	83%	76%	80%	77%	74%	69%	47%	44%	69%	47%	49%
75.6%	89%	73%	81%	81%	83%	69%	92%	79%	76%	62%	84%	70%	82%	80%	62%	65%	72%	79%	82%	63%	64%
89.0%	89%	80%	95%	89%	91%	95%	93%	93%	93%	87%	85%	93%	82%	86%	95%	91%	81%	84%	84%	90%	93%
79.0%	88%	81%	91%	91%	73%	61%	76%	75%	78%	75%	80%	90%	75%	90%	87%	88%	62%	78%	75%	69%	76%
80.2%	82%	84%	79%	82%	61%	74%	81%	80%	81%	83%	77%	80%	91%	81%	81%	86%	84%	81%	76%	78%	83%
76.2%	79%	77%	82%	78%	60%	62%	95%	90%	81%	81%	74%	78%	83%	73%	80%	87%	73%	64%	65%	67%	71%
79.9%	79%	77%	74%	74%	87%	79%	85%	77%	83%	81%	84%	65%	74%	83%	80%	84%	86%	88%	81%	77%	79%
72.4%	84%	80%	70%	68%	72%	68%	90%	76%	76%	61%	74%	70%	73%	80%	53%	80%	64%	79%	83%	65%	54%
78.9%	86%	85%	86%	84%	74%	87%	87%	80%	82%	82%	81%	69%	79%	68%	79%	85%	68%	62%	71%	74%	87%
67.0%	79%	82%	69%	69%	72%	62%	74%	77%	54%	57%	74%	71%	61%	71%	52%	71%	62%	65%	77%	57%	52%
83.5%	84%	88%	85%	85%	85%	85%	77%	80%	79%	87%	84%	83%	85%	86%	89%	80%	83%	79%	86%	83%	80%
89.0%	89%	87%	87%	86%	73%	95%	93%	94%	92%	88%	96%	61%	89%	92%	91%	96%	90%	87%	95%	96%	92%
83.5%	84%	91%	88%	88%	75%	74%	96%	90%	86%	80%	81%	69%	81%	86%	90%	90%	81%	83%	78%	81%	81%
78.3%	82%	86%	79%	76%	64%	66%	75%	82%	85%	79%	79%	87%	84%	64%	81%	85%	79%	68%	81%	84%	79%
56.4%	65%	75%	66%	75%	66%	58%	54%	48%	53%	55%	51%	51%	49%	51%	66%	71%	51%	44%	52%	37%	47%
65.2%	64%	74%	69%	75%	51%	42%	71%	73%	69%	68%	55%	91%	68%	51%	69%	69%	62%	54%	67%	63%	64%
65.3%	73%	62%	70%	70%	64%	42%	75%	61%	62%	76%	52%	55%	61%	52%	72%	70%	61%	78%	68%	80%	67%
79.6%	77%	76%	81%	78%	69%	72%	87%	86%	85%	84%	77%	73%	89%	73%	77%	79%	88%	82%	79%	75%	85%
87.0%	84%	90%	87%	82%	77%	85%	88%	77%	90%	90%	90%	83%	89%	89%	89%	92%	87%	88%	86%	93%	91%
87.4%	83%	88%	87%	84%	88%	71%	90%	87%	93%	90%	95%	66%	95%	88%	90%	88%	90%	90%	90%		94%
81.3%	88%	79%	78%	80%	80%	77%	94%	89%	82%	86%	83%	57%	80%	80%	90%	89%	76%	79%	79%	78%	84%
83.0%	85%	83%	87%	82%	76%	68%	83%	88%	89%	84%	82%	64%	86%	89%	85%	89%	86%	86%	85%	86%	80%
86.5%	86%	91%	87%	83%	79%	92%	88%	85%	89%	85%	94%	58%	85%	85%	89%	85%	92%	81%	97%	94%	91%
82.1%	92%	81%	76%	77%	83%	82%	73%	79%	83%	88%	84%	71%	84%	83%	85%	85%	87%	80%	84%	83%	85%
75.0%	81%	80%	78%	78%	63%	57%	71%	85%	83%	76%	72%	76%	79%	61%	83%	84%	78%	76%	69%	69%	76%
67.7%	75%	81%	78%	75%	70%	46%	71%	83%	73%	61%	58%	81%	71%	59%	78%	81%	52%	63%	53%	52%	61%
72.5%	82%	77%	78%	83%	72%	65%	82%	69%	61%	61%	77%	48%	75%	77%	82%	79%	70%	72%	66%	66%	80%
72.0%	88%	76%	76%	79%	63%	45%	69%	94%	75%	74%	58%	86%	70%	51%	74%	82%	52%	69%	77%	75%	78%
81.7%	87%	84%	83%	83%	84%	65%	86%	84%	83%	84%	83%	64%	83%	80%	80%	80%	87%	81%	83%	88%	83%
84.6%	83%	97%	100%	91%	68%	85%	83%	83%	100%	78%	68%	76%	72%	75%	93%	77%	96%	90%	83%	84%	95%
58.5%	69%	46%	49%	57%	78%	35%	65%	65%	49%	69%	78%	71%	75%	72%	55%	65%	45%	39%	65%	39%	43%
70.6%	83%	63%	83%	94%	66%	48%	70%	80%	66%	77%	63%	86%	77%	58%	87%	80%	61%	60%	55%	56%	70%
73.7%	84%	76%	76%	75%	63%	62%	83%	73%	72%	76%	75%	77%	80%	84%	62%	72%	77%	75%	76%	67%	63%
82.0%	91%	96%	94%	77%	73%	77%	92%	92%	86%	90%	68%	76%	88%	80%	85%	89%	67%	64%	64%	84%	89%
83.5%	83%	84%	90%	90%	75%	71%	90%	97%	88%	85%	84%	74%	85%	81%	91%	92%	84%	72%	73%	80%	85%
87.0%	97%	81%	95%	91%	97%	84%	87%	83%	94%	94%	98%	65%	88%	65%	96%	92%	89%	76%	82%	84%	88%
70.9%	79%	67%	77%	74%	78%	51%	73%	81%	69%	72%	57%	59%	72%	63%	82%	85%	67%	70%	64%	70%	78%
86.0%	95%	85%	88%	97%	80%	73%	94%	94%	88%	90%	80%	87%	83%	86%	85%	94%	81%	79%	94%	77%	76%
79.2%	86%	79%	91%	89%	68%	72%	92%	89%	95%	89%	61%	85%	79%	69%	92%	88%	61%	72%	52%	70%	85%
67.6%	100%	59%	57%	57%	76%	53%	63%	57%	51%	63%	58%	62%	63%	71%	100%	100%	59%	59%	53%	59%	100%
81.8%	90%	90%	87%	90%	67%	89%	89%	90%	77%	69%	89%	86%	65%	93%	78%	88%	89%	83%	86%	64%	58%

Model Similarity Dendrogram

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