DTeval

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Analysis: Gd3 Ctx Dtef Global Dialogues Gd3 AiConcern%3Amore Concerned Than Excited Ctx - Run bc03c66...

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

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

Factual Accuracy & Hallucination

Reasoning

Efficiency & Succinctness

Knowledge, learning and memory

Best Models (Coverage)

1.Claude 3.7 Sonnet
84.5%
2.GPT 5
83.9%
3.GPT 5.1
83.8%
4.Claude Sonnet 4.5
83.1%
5.GPT 4.1
83.0%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

63.2% similarity

👯 Most Similar Models

GPT 4.1vsGrok 4

88.7% 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 84.5%	14th 79.3%	6th 82.0%	4th 83.1%	10th 80.3%	19th 76.4%	11th 80.0%	9th 81.2%	8th 81.2%	5th 83.0%	13th 79.5%	17th 77.7%	16th 78.2%	21st 73.5%	2nd 83.9%	3rd 83.8%	18th 77.5%	15th 78.4%	20th 75.7%	12th 79.9%	7th 81.6%
89.1%	93%	92%	90%	93%	87%	93%	89%	88%	89%	90%	94%	88%	91%	86%	90%	91%	89%	77%	84%	90%	88%
80.4%	74%	89%	83%	86%	86%	88%	88%	83%	82%	82%	90%	68%	81%	72%	86%	67%	71%	71%	88%	87%	66%
63.2%	74%	64%	58%	58%	64%	53%	10%	61%	53%	71%	64%	95%	53%	95%	71%	71%	71%	53%	53%	64%	71%
89.3%	94%	77%	94%	93%	89%	94%	93%	94%	92%	93%	94%	94%	91%	85%	88%	85%	87%	70%	88%	94%	86%
76.8%	76%	69%	72%	89%	80%	67%	80%	80%	82%	86%	67%	67%	67%	79%	91%	95%	72%	67%	67%	70%	90%
81.8%	92%	97%	93%	94%	90%	70%	75%	74%	76%	82%	66%	95%	72%	78%	89%	91%	64%	82%	71%	74%	93%
83.9%	87%	81%	85%	88%	86%	79%	81%	88%	85%	83%	81%	78%	80%	78%	91%	94%	85%	85%	79%	80%	87%
76.0%	79%	67%	80%	75%	74%	72%	80%	79%	73%	87%	73%	75%	75%	69%	73%	82%	67%	85%	73%	68%	90%
76.7%	81%	68%	71%	81%	82%	75%	84%	88%	76%	76%	81%	54%	76%	64%	74%	96%	76%	79%	72%	78%	79%
92.1%	94%	94%	93%	96%	94%	94%	91%	86%	94%	96%	87%	95%	93%	94%	90%	88%	86%	90%	94%
76.1%	81%	83%	86%	90%	76%	79%	81%	77%	81%	70%	76%	83%	69%	58%	80%	78%	60%	69%	78%	77%	66%
86.3%	86%	96%	92%	96%	86%	87%	92%	91%	84%	80%	87%	95%	86%	81%	91%	78%	78%	63%	94%		82%
79.0%	83%	80%	85%	86%	79%	81%	78%	82%	83%	79%	75%	73%	77%	75%	78%	83%	76%	79%	75%	74%	78%
92.2%	92%	92%	90%	96%	96%	81%	92%	93%	93%	97%	96%	78%	97%	96%	94%	92%	91%	90%	94%	92%	94%
86.0%	90%	86%	87%	90%	89%	92%	90%	89%	86%	89%	85%	83%	85%	83%	81%	85%	80%	83%	81%	82%	90%
85.5%	90%	81%	83%	86%	87%	85%	88%	94%	88%	88%	85%	69%	89%	73%	86%	89%	88%	85%	82%	85%	95%
65.0%	69%	75%	74%	78%	67%	59%	58%	44%	68%	66%	71%	81%	40%	45%	68%	80%	67%	68%	61%	56%	71%
78.3%	87%	74%	79%	81%	80%	74%	78%	78%	80%	84%	72%	80%	80%	54%	83%	79%	77%	99%	63%	83%	79%
69.0%	75%	73%	77%	71%	70%	60%	66%	66%	69%	76%	59%	44%	71%	52%	83%	81%	64%	75%	54%	78%	85%
82.4%	85%	74%	84%	85%	85%	87%	85%	88%	88%	86%	68%	72%	83%	82%	79%	87%	83%	87%	77%	87%	79%
87.9%	87%	85%	83%	88%	86%	91%	89%	88%	90%	85%	91%	93%	86%	86%	89%	93%	86%	90%	87%	87%	85%
90.9%	90%	85%	85%	90%	84%	92%	89%	87%	94%	88%	92%	93%	87%	90%	92%	98%	94%	96%	94%	95%	93%
79.7%	78%	79%	79%	79%	84%	77%	82%	79%	83%	84%	85%	71%	76%	81%	83%	77%	82%	73%	81%	82%	79%
76.3%	71%	71%	71%	79%	77%	77%	83%	79%	74%	79%	75%	75%	83%	75%	73%	73%	75%	74%	80%	75%	84%
93.0%	95%	91%	91%	93%	94%	93%	91%	91%	90%	97%	90%	96%	91%	96%	97%	95%	94%	91%	94%	90%	93%
81.9%	87%	90%	83%	88%	87%	75%	80%	76%	82%	77%	86%	84%	76%	72%	78%	84%	74%	79%	88%	87%	87%
83.0%	89%	77%	81%	85%	80%	80%	82%	93%	88%	86%	79%	74%	88%	74%	84%	86%	92%	76%	73%	86%	90%
77.4%	82%	83%	76%	78%	87%	65%	80%	87%	78%	85%	68%	63%	75%	56%	95%	92%	86%	81%	65%	63%	81%
75.4%	81%	87%	82%	85%	71%	66%	86%	77%	78%	72%	71%	71%	71%	70%	77%	77%	73%	71%	77%	71%	70%
72.4%	81%	72%	82%	84%	69%	70%	83%	83%	73%	71%	66%	69%	73%	47%	78%	82%	70%	68%	67%	68%	65%
84.2%	87%	87%	87%	86%	87%	81%	84%	84%	87%	84%	87%	82%	86%	82%	83%	84%	79%	82%	83%	83%	83%
68.3%	66%	66%	72%	58%	88%	49%	66%	87%	88%	66%	88%	49%	53%	49%	66%	66%	66%	88%	49%	88%	66%
63.2%	69%	59%	54%	54%	49%	49%	65%	55%	54%	65%	59%	95%	59%	95%	65%	65%	58%	49%	49%	95%	65%
78.0%	89%	72%	84%	92%	85%	81%	70%	80%	81%	83%	74%	72%	79%	58%	84%	82%	80%	75%	69%	74%	74%
80.8%	87%	86%	91%	91%	70%	75%	81%	70%	76%	74%	78%	81%	88%	85%	87%	89%	82%	73%	89%	71%	73%
83.5%	90%	93%	88%	86%	79%	79%	87%	88%	88%	87%	91%	62%	92%	62%	87%	90%	80%	80%	76%	87%	81%
87.2%	92%	88%	89%	86%	90%	88%	92%	92%	89%	90%	82%	82%	88%	81%	91%	90%	83%	85%	84%	82%
79.5%	90%	79%	93%	85%	80%	67%	87%	70%	86%	86%	85%	67%	79%	71%	92%	79%	75%	76%	67%	76%
76.6%	88%	67%	81%	79%	89%	70%	79%	83%	73%	90%	80%	78%	91%	61%	73%	83%	65%	77%	63%	69%	69%
80.3%	89%	64%	89%	68%	59%	88%	88%	96%	88%	82%	88%	73%	64%	59%	82%	82%	82%	88%	88%	88%	82%
81.7%	80%	77%	84%	89%	89%	60%	80%	91%	91%	85%	90%	58%	81%	58%	94%	90%	82%	91%	63%	94%	89%
67.3%	100%	44%	57%	59%	55%	54%	59%	61%	53%	100%	59%	100%	55%	62%	100%	63%	51%	67%	54%	60%	100%
85.6%	84%	94%	87%	81%	68%	88%	79%	72%	86%	91%	85%	85%	85%	91%	93%	93%	93%	85%	88%	85%	85%

Model Similarity Dendrogram

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