DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 AiConcern%3Amore Excited Than Concerned - Run 24191f8...

Global Dialogues GD3 - More excited than concerned

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

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Efficiency & Succinctness

General Knowledge

Best Models (Coverage)

1.Claude Haiku 4.5
84.6%
2.GPT 5
84.0%
3.Claude 3.7 Sonnet
83.3%
4.GPT 5.1
82.9%
5.Claude Sonnet 4.5
82.6%

🔀 Least Similar Models

GPT OSS 20bvsGrok 4.1 Fast

74.9% similarity

👯 Most Similar Models

Claude Haiku 4.5vsClaude Sonnet 4

89.1% 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	3rd 83.3%	1st 84.6%	6th 82.2%	5th 82.6%	13th 80.2%	16th 78.4%	14th 79.9%	15th 79.4%	12th 80.3%	7th 81.8%	9th 81.5%	20th 73.9%	11th 81.1%	17th 77.5%	2nd 84.0%	4th 82.9%	18th 77.3%	21st 72.6%	10th 81.3%	19th 75.2%	8th 81.5%
84.7%	93%	93%	81%	89%	86%	70%	83%	92%	86%	94%	90%	82%	86%	77%	88%	91%	80%	82%	86%	57%	92%
79.4%	80%	75%	91%	94%	63%	75%	78%	83%	69%	87%	77%	75%	79%	75%	89%	92%	77%	78%	81%	70%	79%
80.6%	79%	79%	79%	80%	85%	96%	70%	79%	74%	85%	85%	87%	81%	85%	82%	79%	78%	75%	79%	81%	75%
71.9%	71%	80%	66%	66%	75%	68%	83%	69%	68%	58%	80%	83%	68%	79%	57%	58%	70%	75%	81%	74%	81%
85.0%	81%	87%	86%	80%	76%	84%	86%	88%	87%	91%	96%	94%	94%	74%	83%	83%	81%	72%	95%	86%	82%
91.3%	90%	95%	88%	90%	97%	97%	90%	91%	96%	89%	91%	90%	90%	90%	86%	93%	88%	93%	92%	86%	96%
88.1%	91%	93%	88%	86%	79%	79%	74%	89%	93%	94%	89%	79%	81%	91%	95%	95%	95%	96%	86%	87%	91%
82.2%	89%	84%	72%	82%	81%	79%	78%	86%	82%	93%	85%	80%	80%	80%	90%	91%	77%	77%	76%	76%	88%
88.0%	79%	84%	89%	86%	94%	86%	94%	92%	94%	85%	93%	84%	88%	94%	86%	85%	92%	84%	89%	82%	88%
68.2%	66%	75%	58%	75%	77%	71%	79%	60%	68%	63%	73%	59%	74%	62%	64%	54%	79%	68%	75%	68%	64%
85.0%	89%	84%	91%	89%	90%	88%	84%	87%	85%	90%	90%	52%	86%	85%	88%	89%	89%	70%	86%	86%	88%
65.9%	74%	75%	64%	76%	69%	60%	59%	48%	60%	61%	65%	60%	65%	59%	75%	66%	79%	62%	75%	68%	63%
79.0%	80%	87%	88%	91%	91%	88%	81%	74%	80%	84%	79%	56%	92%	68%	78%	92%	65%	65%	71%	66%	84%
81.2%	85%	88%	91%	78%	60%	83%	87%	82%	78%	79%	81%	93%	92%	79%	79%	85%	78%	77%	92%	64%	75%
81.9%	86%	87%	92%	85%	85%	91%	89%	83%	88%	90%	79%	61%	89%	76%	95%	94%	58%	62%	81%	68%	81%
81.0%	88%	86%	85%	85%	80%	61%	78%	88%	79%	89%	81%	77%	80%	76%	88%	84%	86%	78%	81%	69%	81%
74.5%	84%	88%	79%	75%	83%	90%	68%	57%	72%	70%	70%	71%	60%	73%	85%	80%	69%	77%	79%	65%	69%
75.2%	85%	78%	70%	73%	91%	52%	63%	82%	76%	81%	87%	62%	70%	74%	85%	82%	88%	38%	78%	78%	86%
71.1%	81%	69%	78%	71%	66%	59%	88%	69%	63%	77%	68%	78%	72%	61%	82%	76%	66%	63%	56%	83%	68%
87.9%	92%	94%	94%	91%	74%	86%	87%	89%	90%	93%	88%	91%	94%	84%	90%	91%	73%	77%	89%	83%	96%
83.8%	89%	89%	89%	89%	71%	87%	92%	87%	84%	92%	83%	75%	87%	78%	80%	92%	77%	69%	84%	77%	89%
84.6%	81%	94%	87%	87%	89%	78%	91%	86%	92%	86%	92%	65%	93%	82%	93%	97%	62%	64%	86%	81%	91%
81.7%	84%	80%	86%	87%	67%	74%	85%	81%	82%	78%	82%	76%	77%	75%	95%	86%	80%	86%	85%	83%	86%
81.1%	80%	94%	96%	92%	92%	93%	88%	87%	90%	87%	92%	56%	86%	57%	89%	90%	63%	55%	82%	54%	80%
81.6%	82%	91%	93%	81%	56%	86%	84%	82%	80%	73%	86%	94%	85%	81%	78%	81%	83%	81%	95%	66%	76%
75.8%	80%	82%	83%	83%	68%	69%	75%	73%	79%	78%	77%	74%	80%	73%	79%	79%	64%	74%	82%	64%	76%
76.6%	86%	84%	81%	80%	85%	49%	70%	86%	79%	85%	71%	68%	76%	75%	80%	82%	77%	73%	67%	73%	82%
88.2%	88%	97%	82%	90%	87%	75%	90%	89%	85%	91%	94%	87%	93%	92%	94%	96%	92%	78%	76%	85%	92%
67.0%	69%	82%	64%	69%	81%	66%	67%	51%	53%	64%	67%	66%	65%	68%	73%	70%	67%	58%	74%	68%	64%
70.0%	61%	73%	53%	61%	93%	68%	51%	65%	76%	73%	83%	47%	60%	82%	72%	64%	81%	83%	73%	85%	67%
79.5%	82%	82%	91%	84%	86%	89%	84%	77%	84%	77%	74%	61%	82%	75%	90%	84%	68%	60%	81%	74%	85%
74.6%	75%	76%	76%	75%	70%	59%	85%	76%	81%	70%	70%	68%	74%	70%	77%	76%	77%	78%	76%	77%	80%
78.1%	78%	77%	77%	77%	82%	94%	68%	76%	72%	82%	82%	84%	79%	82%	81%	77%	75%	74%	77%	73%	73%
86.1%	92%	84%	78%	87%	82%	78%	65%	79%	96%	90%	82%	75%	95%	94%	86%	93%	97%	90%	82%	92%	92%
73.3%	75%	81%	77%	77%	78%	60%	59%	66%	66%	77%	85%	75%	81%	77%	63%	63%	90%	69%	92%	75%	54%
77.4%	75%	80%	82%	82%	65%	86%	83%	84%	71%	76%	80%	75%	79%	74%	76%	82%	71%	74%	76%	75%	79%
76.6%	82%	76%	84%	83%	81%	85%	86%	77%	81%	79%	66%	49%	84%	62%	84%	79%	56%	64%	83%	76%	91%
85.0%	87%	96%	86%	96%	83%	94%	90%	90%	96%	92%	84%	79%	86%	86%	89%	88%	74%	62%	80%	64%	84%
85.6%	89%	93%	94%	93%	85%	81%	90%	90%	87%	92%	79%	73%	87%	76%	94%	88%	75%	70%	88%	81%	92%
94.5%	94%	97%	97%	96%	91%	79%	94%	97%	98%	91%	91%	89%	94%	91%	97%	97%	98%	99%	97%	99%	98%
85.4%	95%	93%	94%	94%	94%	85%	92%	90%	92%	92%	87%	88%	82%	94%	88%	87%	82%	29%	82%	68%	86%
67.0%	100%	66%	66%	66%	72%	85%	67%	53%	55%	58%	59%	51%	59%	53%	100%	70%	58%	67%	61%	63%	77%
87.2%	93%	88%	90%	79%	90%	88%	80%	83%	86%	83%	90%	89%	82%	94%	91%	84%	88%	95%	91%	84%	84%

Model Similarity Dendrogram

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