DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AiConcern%3Amore Excited Than Concerned C10 - Run e128464...

Global Dialogues GD3 - More excited than concerned (10 context Qs)

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

Factual Accuracy & Hallucination

Reasoning

Efficiency & Succinctness

General Knowledge

Best Models (Coverage)

1.Claude Sonnet 4.5
85.9%
2.Claude 3.7 Sonnet
85.7%
3.Claude Sonnet 4
85.3%
4.GPT 5.1
84.6%
5.GPT 5
84.3%

🔀 Least Similar Models

Claude Haiku 4.5vsGPT 4.1 Nano

67.4% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

90.6% 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
Score	2nd 85.7%	6th 84.1%	3rd 85.3%	1st 85.9%	16th 78.2%	14th 79.7%	10th 81.4%	13th 79.9%	11th 80.7%	7th 84.0%	9th 81.6%	20th 61.8%	12th 80.4%	15th 78.9%	5th 84.3%	4th 84.6%	17th 76.0%	19th 72.5%	8th 82.6%	18th 74.8%
82.2%	89%	92%	81%	93%	68%	69%	87%	95%	83%	93%	86%	64%	80%	64%	91%	86%	82%	75%	91%	75%
74.8%	77%	74%	91%	90%	56%	64%	79%	76%	69%	86%	85%	16%	83%	72%	86%	91%	76%	78%	68%	79%
84.2%	82%	79%	85%	85%	81%	92%	90%	81%	72%	85%	92%	79%	79%	98%	85%	71%	86%	89%	92%	80%
90.5%	97%	85%	95%	90%	87%	85%	95%	88%	96%	92%	92%	91%	96%	90%	90%	88%	86%	84%	90%	94%
86.1%	89%	90%	81%	87%	81%	82%	83%	93%	87%	95%	92%	77%	99%	81%	87%	87%	88%	75%	80%	88%
91.4%	93%	95%	88%	92%	89%	96%	96%	97%	95%	89%	94%	91%	95%	94%	79%	87%	93%	94%	81%	90%
93.8%	97%	94%	94%	93%	91%	97%	87%	96%	94%	96%	92%	97%	92%	97%	95%	94%	97%	86%	94%	93%
81.3%	91%	89%	84%	91%	82%	66%	87%	85%	79%	93%	85%	47%	83%	76%	84%	87%	81%	84%	81%	72%
82.3%	88%	84%	86%	85%	88%	67%	94%	83%	82%	90%	86%	63%	84%	76%	79%	84%	91%	78%	77%	82%
89.2%	95%	90%	89%	93%	91%	91%	80%	76%	91%	89%	91%	91%	91%	91%	87%	93%	84%	87%	91%	94%
76.8%	84%	85%	85%	85%	79%	85%	69%	89%	78%	63%	85%	52%	66%	69%	65%	76%	89%	54%	89%	89%
87.1%	90%	94%	92%	93%	93%	78%	84%	87%	91%	92%	79%	93%	78%	90%	90%	83%	72%	79%	94%	91%
77.4%	75%	83%	88%	80%	92%	93%	70%	64%	78%	85%	81%	69%	85%	94%	71%	75%	66%	48%	85%	66%
82.8%	93%	79%	94%	93%	62%	77%	94%	87%	80%	84%	77%	75%	94%	75%	89%	85%	54%	94%	94%	76%
80.8%	92%	89%	86%	86%	88%	92%	86%	77%	88%	86%	84%	9%	83%	88%	89%	89%	72%	68%	83%	81%
76.6%	87%	86%	88%	90%	58%	82%	88%	80%	70%	85%	84%	63%	76%	71%	81%	87%	76%	34%	88%	57%
76.8%	85%	92%	80%	72%	67%	65%	74%	62%	72%	77%	81%	90%	69%	86%	82%	82%	71%	67%	89%	73%
79.0%	84%	79%	81%	83%	78%	53%	63%	82%	78%	82%	81%	70%	81%	79%	92%	82%	87%	81%	82%	82%
64.4%	66%	51%	67%	62%	75%	66%	63%	68%	72%	71%	55%	55%	71%	57%	78%	84%	60%	56%	50%	62%
82.5%	87%	88%	89%	96%	93%	75%	89%	72%	72%	94%	75%	76%	86%	70%	95%	92%	76%	70%	80%	76%
77.9%	80%	88%	89%	89%	69%	77%	83%	87%	88%	91%	74%	32%	88%	65%	84%	80%	70%	77%	81%	66%
78.8%	81%	84%	88%	89%	89%	80%	91%	72%	90%	86%	85%	19%	78%	91%	83%	91%	79%	66%	73%	62%
79.7%	79%	71%	76%	76%	86%	80%	91%	87%	75%	89%	88%	55%	88%	91%	78%	78%	74%	67%	89%	75%
76.8%	85%	88%	92%	82%	79%	94%	70%	67%	85%	78%	90%	17%	75%	80%	89%	83%	68%	65%	78%	71%
83.9%	83%	78%	93%	95%	66%	87%	93%	82%	97%	85%	91%	76%	79%	69%	88%	95%	85%	67%	95%	73%
73.2%	75%	83%	85%	79%	67%	73%	76%	76%	77%	81%	73%	50%	80%	64%	76%	84%	62%	75%	76%	52%
76.9%	87%	83%	81%	87%	71%	57%	80%	82%	74%	83%	70%	65%	77%	75%	81%	82%	78%	85%	70%	70%
87.0%	92%	91%	90%	94%	87%	89%	95%	91%	83%	94%	91%	27%	95%	91%	87%	93%	92%	86%	85%	88%
77.8%	90%	90%	95%	95%	92%	66%	84%	70%	70%	67%	66%	79%	66%	65%	83%	87%	64%	78%	71%
75.9%	82%	83%	78%	87%	72%	87%	73%	75%	79%	81%	87%	77%	78%	64%	88%	78%	71%	22%	86%	70%
76.7%	88%	78%	82%	82%	84%	90%	79%	80%	82%	77%	85%	8%	84%	83%	84%	77%	66%	77%	84%	64%
67.2%	63%	76%	70%	70%	74%	63%	66%	74%	83%	70%	64%	41%	41%	58%	85%	90%	78%	74%	63%	41%
81.6%	78%	77%	82%	82%	79%	90%	87%	79%	70%	82%	89%	81%	81%	96%	74%	67%	74%	93%	90%	81%
79.8%	86%	81%	82%	84%	63%	77%	77%	80%	82%	87%	78%	75%	78%	76%	86%	81%	84%	81%	76%	81%
75.8%	87%	95%	73%	73%	73%	70%	59%	67%	67%	67%	72%	79%	74%	78%	82%	79%	75%	69%	97%	80%
75.1%	77%	81%	82%	82%	48%	85%	83%	84%	68%	79%	74%	74%	82%	71%	71%	76%	72%	71%	82%	60%
71.6%	89%	78%	84%	84%	82%	90%	75%	63%	77%	78%	65%	8%	78%	62%	75%	84%	58%	60%	78%	64%
83.5%	88%	87%	90%	98%	82%	81%	80%	92%	98%	92%	80%	67%	98%	83%	80%	90%	60%	63%	80%	82%
82.6%	86%	90%	95%	94%	68%	86%	88%	82%	81%	90%	79%	81%	84%	91%	83%	75%	63%	81%	88%	66%
84.9%	94%	97%	91%	91%	95%	83%	86%	94%	96%	91%	84%	58%	58%	78%	95%	98%	89%	80%	83%	58%
84.6%	94%	87%	91%	94%	58%	91%	86%	92%	76%	91%	96%	78%	92%	89%	92%	87%	83%	35%	93%	87%
69.6%	100%	61%	66%	66%	100%	66%	62%	59%	63%	60%	61%	55%	55%	61%	100%	100%	58%	72%	63%	63%
84.4%	79%	91%	89%	80%	80%	91%	79%	63%	80%	86%	91%	89%	79%	93%	88%	79%	80%	92%	91%	88%

Model Similarity Dendrogram

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