DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 AiConcern%3Aequally Concerned And Excited - Run 2508a87...

Global Dialogues GD3 - Equally concerned and excited

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

TAGS:

Instruction Following & Prompt Adherence

Reasoning

General Knowledge

Efficiency & Succinctness

Factual Accuracy & Hallucination

Best Models (Coverage)

1.Claude 3.7 Sonnet
84.4%
2.Claude Haiku 4.5
83.4%
3.Claude Sonnet 4.5
83.4%
4.GPT 5.1
81.9%
5.Gemini 2.5 Flash
81.7%

🔀 Least Similar Models

Claude Sonnet 4.5vsQwen3 32b

75.2% similarity

👯 Most Similar Models

Gemini 2.5 FlashvsGPT 4o Mini

89.3% 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	1st 84.4%	2nd 83.4%	7th 81.1%	3rd 83.4%	5th 81.7%	16th 77.7%	8th 80.7%	13th 79.1%	14th 78.3%	10th 80.2%	12th 79.7%	21st 72.2%	9th 80.3%	15th 78.1%	6th 81.7%	4th 81.9%	18th 76.7%	20th 74.4%	17th 77.7%	19th 74.8%	11th 79.7%
86.5%	92%	86%	89%	94%	86%	80%	88%	94%	82%	91%	81%	86%	83%	83%	91%	91%	83%	73%	84%	87%	92%
85.5%	83%	85%	91%	92%	86%	72%	77%	88%	82%	89%	88%	78%	93%	89%	88%	82%	91%	71%	93%	86%	92%
65.9%	68%	72%	63%	73%	62%	77%	66%	72%	62%	62%	72%	62%	62%	62%	62%	67%	63%	69%	63%	62%	62%
71.6%	69%	84%	70%	75%	74%	74%	78%	68%	76%	62%	82%	56%	83%	75%	53%	58%	67%	85%	82%	60%	72%
91.2%	91%	96%	95%	91%	85%	94%	86%	92%	94%	89%	96%	92%	90%	92%	90%	93%	93%	89%	96%	80%	92%
85.3%	86%	91%	86%	86%	92%	94%	88%	83%	87%	82%	89%	74%	78%	77%	81%	85%	84%	91%	88%	84%	86%
85.4%	84%	88%	86%	89%	90%	78%	82%	82%	87%	87%	89%	86%	88%	88%	87%	89%	88%	92%	78%	75%	80%
81.2%	89%	87%	81%	81%	87%	72%	92%	86%	77%	85%	86%	82%	81%	83%	78%	88%	76%	79%	66%	73%	77%
86.9%	85%	84%	79%	84%	95%	86%	79%	93%	85%	92%	89%	89%	84%	84%	80%	84%	90%	89%	87%	98%	88%
69.8%	74%	78%	65%	75%	77%	72%	74%	63%	73%	58%	74%	51%	74%	69%	63%	67%	80%	75%	89%	63%	51%
84.3%	80%	85%	89%	81%	86%	94%	91%	83%	89%	90%	81%	77%	90%	78%	86%	89%	77%	63%	83%	87%	91%
66.4%	77%	86%	63%	78%	74%	73%	69%	62%	58%	57%	73%	40%	66%	73%	58%	74%	61%	64%	79%	55%	54%
86.3%	89%	86%	86%	96%	87%	87%	77%	81%	89%	94%	82%	64%	93%	85%	97%	94%	77%	82%	86%	88%	93%
83.5%	83%	86%	84%	80%	77%	93%	99%	84%	83%	82%	82%	78%	90%	83%	86%	90%	84%	66%	88%	67%	89%
86.7%	90%	82%	97%	93%	91%	88%	88%	87%	86%	91%	85%	70%	92%	88%	94%	95%	79%	82%	80%	79%	84%
82.8%	93%	86%	86%	96%	87%	71%	85%	88%	78%	84%	83%	81%	83%	78%	84%	82%	79%	77%	78%	79%	80%
66.7%	72%	73%	73%	77%	61%	74%	57%	57%	65%	61%	61%	70%	55%	60%	76%	72%	71%	61%	70%	61%	73%
70.7%	80%	80%	71%	83%	78%	56%	66%	74%	68%	69%	73%	71%	69%	72%	70%	69%	66%	72%	68%	61%	69%
70.9%	85%	61%	82%	75%	60%	54%	88%	61%	64%	86%	62%	80%	70%	54%	78%	78%	62%	62%	59%	87%	80%
90.3%	90%	94%	88%	93%	93%	92%	86%	97%	86%	94%	90%	91%	93%	93%	91%	89%	93%	80%	81%	90%	92%
87.3%	91%	84%	92%	91%	90%	80%	94%	93%	89%	94%	81%	78%	89%	84%	95%	87%	85%	76%	79%	89%	93%
86.1%	86%	87%	92%	92%	89%	74%	93%	88%	86%	89%	86%	74%	89%	90%	94%	94%	85%	66%	82%	83%	90%
81.7%	89%	85%	87%	86%	86%	75%	80%	78%	81%	81%	72%	66%	77%	79%	85%	84%	78%	91%	84%	86%	86%
86.4%	93%	88%	89%	93%	89%	93%	95%	83%	91%	94%	80%	70%	90%	80%	94%	95%	78%	67%	82%		84%
83.9%	80%	90%	82%	78%	82%	90%	92%	82%	81%	80%	84%	76%	83%	91%	82%	81%	87%	79%	87%	88%	87%
75.0%	79%	72%	82%	80%	75%	73%	76%	67%	77%	83%	75%	69%	73%	74%	84%	77%	72%	67%	74%	67%	80%
73.7%	88%	78%	82%	82%	76%	57%	69%	75%	73%	77%	72%	72%	75%	72%	76%	77%	66%	76%	71%	58%	75%
80.6%	84%	87%	80%	80%	90%	75%	79%	94%	89%	73%	78%	76%	78%	79%	88%	81%	75%	82%	74%	71%	80%
67.6%	75%	88%	72%	78%	63%	70%	75%	57%	54%	56%	71%	44%	70%	59%	76%	78%	63%	64%	73%	62%	71%
72.6%	70%	82%	74%	78%	93%	72%	60%	70%	71%	69%	82%	66%	68%	78%	71%	79%	79%	60%	77%	59%	66%
84.0%	86%	88%	94%	94%	87%	83%	85%	83%	84%	89%	79%	66%	87%	88%	90%	90%	76%	68%	78%	80%	88%
81.2%	79%	75%	84%	74%	86%	70%	81%	75%	85%	85%	75%	86%	86%	86%	80%	79%	85%	78%	84%	86%	86%
59.0%	62%	65%	57%	66%	55%	70%	59%	65%	55%	56%	65%	55%	55%	55%	57%	61%	56%	57%	57%	55%	55%
81.9%	90%	87%	84%	88%	91%	76%	75%	87%	79%	86%	82%	81%	87%	77%	77%	83%	76%	79%	71%	78%	85%
71.9%	79%	86%	67%	66%	82%	67%	57%	66%	61%	68%	75%	82%	84%	82%	57%	65%	77%	80%	87%	68%	54%
80.8%	84%	79%	87%	84%	81%	82%	91%	89%	81%	86%	80%	70%	85%	78%	75%	81%	79%	75%	78%	74%	78%
85.9%	89%	86%	90%	86%	89%	88%	89%	82%	86%	92%	81%	73%	89%	89%	89%	90%	86%	73%	86%	82%	88%
83.3%	95%	91%	86%	86%	76%	92%	94%	80%	86%	93%	74%	71%	91%	79%	94%	91%	71%	67%	74%	71%	87%
80.8%	98%	84%	88%	90%	84%	65%	84%	85%	81%	87%	79%	75%	80%	77%	89%	88%	75%	70%	62%	74%	82%
93.1%	95%	100%	92%	98%	90%	94%	94%	99%	90%	91%	99%	90%	90%	90%	92%	96%	91%	92%	92%	90%	90%
83.7%	87%	86%	86%	92%	96%	84%	91%	80%	94%	81%	75%	67%	83%	82%	92%	88%	68%	74%	75%	84%	92%
55.1%	100%	61%	43%	53%	59%	44%	61%	51%	44%	57%		37%	51%	44%	100%	60%	48%	48%	37%	44%	60%
80.0%	89%	89%	75%	80%	76%	86%	81%	76%	77%	77%	85%	81%	76%	81%	82%	79%	77%	89%	78%	71%	74%

Model Similarity Dendrogram

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