DTeval

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Analysis: Gd3 Ctx Dtef Global Dialogues Gd3 AiConcern%3Amore Excited Than Concerned Ctx - Run 1433030...

Global Dialogues GD3 - More excited than concerned (with context)

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

Knowledge, learning and memory

Best Models (Coverage)

1.Claude 3.7 Sonnet
89.1%
2.Claude Sonnet 4
87.7%
3.GPT 5
87.0%
4.Claude Sonnet 4.5
86.6%
5.GPT 5.1
85.9%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

62.1% similarity

👯 Most Similar Models

GPT 5.1vsGPT 5

88.2% 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 89.0%	10th 83.7%	2nd 87.7%	4th 86.6%	9th 83.7%	19th 80.4%	15th 82.7%	11th 83.2%	7th 84.8%	6th 85.5%	8th 84.5%	18th 81.0%	13th 83.1%	14th 83.0%	3rd 87.0%	5th 85.9%	20th 80.0%	21st 79.5%	17th 81.7%	12th 83.2%	16th 82.0%
82.8%		88%	92%	88%	82%	79%	88%	86%	87%	88%	83%	91%	84%	90%	91%	89%	29%	74%	88%	81%	77%
78.6%		78%	76%	84%	62%	93%	84%	83%	77%	83%	82%	61%	78%	95%	92%	85%	65%	79%	76%	70%	69%
79.0%		76%	76%	67%	76%	76%	98%	66%	64%	76%	76%	98%	76%	98%	76%	76%	76%	98%	76%		76%
90.6%	97%	85%	95%	93%	87%	85%	97%	87%	93%	92%	95%	91%	96%	83%	94%	89%	87%	82%	86%	94%	94%
93.8%		91%	93%	95%	90%	91%	90%	99%	96%	98%	91%	91%	91%	91%	97%	99%	99%	96%	91%	91%	96%
90.9%		92%	92%	92%	98%	96%	96%	94%	91%	88%	93%	93%	87%	96%	90%	94%	87%	84%	89%	86%	81%
86.3%	96%	83%	85%	90%	89%	78%	81%	92%	90%	78%	80%	97%	79%	83%	97%	96%	91%	87%	75%	82%	84%
81.6%		85%	80%	85%	82%	67%	78%	91%	86%	82%	92%	75%	76%	75%	87%	86%	83%	83%	72%	82%	84%
80.0%		74%	77%	78%	93%	66%	81%	88%	88%	84%	85%	83%	75%	73%	81%	79%	76%	79%	78%	79%	84%
87.6%	91%	91%	89%	93%	91%	91%	80%	48%	91%	93%	91%	91%	92%	91%	89%	85%	87%	77%	91%	93%	94%
71.8%		84%	85%	77%	76%	60%	70%	86%	69%	68%	84%	84%	56%	53%	69%	68%	76%	47%	57%	84%	82%
84.0%	88%	89%	91%	93%	93%	83%	82%	91%	91%	93%	80%	93%	91%	82%	77%	82%	61%	82%	90%	69%	63%
87.8%	88%	92%	84%	86%	79%	80%	90%	94%	86%	88%	91%	91%	91%	91%	91%	89%	91%	81%	91%	91%	78%
90.2%	90%	93%	94%	93%	93%	96%	96%	95%	94%	92%	92%	75%	87%	75%	95%	95%	88%	79%	95%		87%
92.8%		96%	93%	93%	97%	95%	92%	95%	94%	93%	92%	93%	92%	94%	89%	89%	89%	91%	94%	95%	90%
84.3%		87%	89%	89%	91%	85%	93%	85%	91%	93%	92%	90%	93%	92%	86%	84%	83%	21%	88%	84%	69%
82.4%		86%	94%	93%	91%	87%	75%	59%	81%	83%	85%	81%	72%	80%	82%	80%	81%	89%	86%	81%
88.0%		85%	85%	87%	94%	96%	82%	92%	90%	84%	88%	81%	86%	88%	88%	84%	92%	92%	86%	94%	86%
65.1%	75%	50%	67%	55%	80%	53%	70%	58%	68%	76%	56%	55%	61%	61%	79%	71%	63%	78%	54%	80%	57%
82.7%	83%	77%	95%	90%	86%	76%	92%	92%	82%	85%	87%	76%	81%	81%	76%	84%	77%	77%	93%	76%	71%
85.3%	85%	86%	90%	91%	82%	76%	80%	82%	86%	95%	88%	79%	95%	89%	91%	90%	79%	83%	76%	84%	84%
90.7%	91%	93%	87%	89%	88%	91%	91%	94%	94%	91%	89%	79%	94%	89%	94%	93%	92%	87%	94%	92%	93%
80.0%	74%	71%	85%	76%	81%	72%	93%	89%	82%	92%	89%	64%	74%	90%	80%	83%	77%	68%	88%	79%	73%
89.0%		73%	94%	98%	91%	89%	92%	88%	85%	92%	89%	91%	94%	91%	88%	96%	87%	88%	91%	89%	75%
89.3%	91%	94%	84%	93%	95%	94%	90%	92%	96%	94%	96%	76%	91%	77%	94%	94%	86%	93%	87%	80%	78%
73.9%		85%	73%	81%	72%	68%	80%	68%	67%	76%	71%	67%	70%	66%	82%	82%	63%	61%	87%		85%
86.0%		83%	90%	90%	91%	91%	82%	90%	91%	89%	74%	85%	85%	89%	86%	83%	80%	83%	86%	83%	89%
84.4%	89%	84%	87%	87%	90%	71%	88%	92%	91%	87%	84%	80%	85%	72%	96%	93%	80%	74%	73%
78.2%	88%	92%	96%	89%	90%	77%	84%	68%	77%	68%	84%	64%	66%	65%	88%	84%	72%	65%	64%	80%	81%
83.6%		75%	88%	89%	94%	83%	87%	85%	88%	78%	91%	78%	82%	75%	72%	71%	90%	88%	90%	90%	78%
92.3%	92%	92%	94%	93%	89%	93%	90%	93%	94%	92%	92%	92%	93%	93%	93%	93%	90%	92%	93%		93%
61.3%		64%	64%	59%	54%	54%	54%	83%	74%	64%	69%	54%	55%	54%	64%	64%	64%	54%	54%	60%	64%
75.7%		73%	86%	72%	74%	98%	73%	60%	62%	73%	74%	55%	98%	98%	73%	73%	73%	98%	54%	74%	73%
81.4%	86%	70%	87%	88%	81%	76%	75%	82%	86%	76%	79%	76%	76%	87%	87%	87%	86%	86%	72%	87%	80%
77.7%	95%	86%	93%	93%	42%	59%	59%	71%	80%	62%	74%	79%	90%	84%	84%	78%	72%	66%	92%	86%	87%
81.7%	85%	91%	83%	81%	83%	85%	10%	89%	85%	83%	80%	95%	85%	89%	84%	83%	88%	82%	81%	84%	90%
91.4%		95%	90%	93%	87%	88%	92%	88%	93%	86%	94%	93%	96%	93%	91%	88%	92%	90%	94%	96%	89%
90.3%		98%	87%	96%	91%	91%	92%	94%	97%	96%	91%	91%	95%	91%	95%	95%	75%	76%	91%	83%	81%
89.2%	97%	96%	95%	96%	81%	80%	93%	94%	88%	92%	89%	76%	90%	87%	92%	92%	87%	90%	82%	88%	89%
83.6%		75%	99%	100%	76%	74%	93%	85%	79%	93%	74%	80%	75%	74%	93%	93%	93%	74%	74%	75%	93%
86.1%		82%	91%	89%	94%	70%	88%	88%	90%	84%	96%	80%	90%	83%	94%	85%	89%	92%	69%	88%	80%
74.0%	100%	61%	100%	66%	76%	58%	63%	53%	63%	100%	63%	67%	58%	66%	100%	100%	58%	66%	72%	63%	100%
88.6%		96%	95%	95%	66%	88%	90%	70%	88%	95%	90%	91%	92%	93%	94%	88%	88%	88%	92%	88%	85%

Model Similarity Dendrogram

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