DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 AiConcern%3Amore Concerned Than Excited C5 - Run b965c63...

Global Dialogues GD3 - More concerned than excited (5 context Qs)

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

Social interaction

Best Models (Coverage)

1.GPT 5
82.9%
2.GPT 5.1
82.5%
3.Claude 3.7 Sonnet
82.2%
4.Mistral Large 2411
81.3%
5.Llama 4 Maverick
80.6%

🔀 Least Similar Models

Claude Haiku 4.5vsGPT 4.1 Nano

67.3% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

91.2% similarity

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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	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 82.2%	8th 79.4%	9th 77.1%	7th 79.7%	10th 76.0%	13th 72.8%	5th 80.6%	4th 81.3%	6th 79.7%	12th 75.0%	18th 70.2%	21st 48.5%	15th 72.1%	20th 68.2%	1st 82.9%	2nd 82.5%	17th 70.7%	14th 72.5%	16th 71.0%	19th 69.0%	11th 76.0%
75.2%	85%	90%	78%	78%	75%	77%	77%	87%	87%	82%	70%	8%	79%	66%	82%	95%	71%	70%	76%	68%	78%
83.9%	84%	91%	87%	86%	85%	85%	88%	89%	94%	93%	77%	28%	91%	81%	94%	88%	85%	75%	85%	94%	82%
48.0%	55%	50%	39%	55%	74%	31%	69%	70%	55%	36%	30%	11%	11%	80%	59%	59%	43%	43%	80%	11%	46%
87.9%	94%	81%	91%	92%	89%	78%	89%	91%	96%	95%	85%	94%	92%	80%	92%	93%	76%	85%	78%	84%	90%
87.2%	99%	81%	97%	97%	96%	95%	92%	89%	86%	83%	79%	77%	78%	82%	92%	90%	74%	85%	80%	90%	90%
83.6%	94%	91%	93%	94%	86%	95%	93%	78%	78%	73%	72%	95%	75%	79%	86%	90%	76%	83%	70%	81%	74%
69.5%	78%	76%	68%	76%	52%	84%	68%	74%	77%	77%	71%	25%	77%	66%	83%	85%	61%	65%	60%	67%	69%
69.1%	72%	78%	72%	76%	59%	62%	80%	78%	83%	73%	63%	40%	68%	65%	80%	81%	72%	67%	61%	61%	61%
74.2%	84%	77%	70%	70%	75%	67%	84%	80%	76%	76%	76%	73%	73%	60%	80%	86%	67%	66%	71%	78%	70%
85.9%	94%	90%	84%	85%	84%	81%	90%	88%	83%	84%	90%	94%	93%	91%	85%	86%	80%	68%	91%		77%
75.1%	86%	85%	86%	85%	80%	75%	78%	80%	81%	73%	74%	68%	74%	58%	74%	76%	65%	57%	76%	67%	80%
90.4%	93%	96%	92%	92%	89%	95%	89%	90%	87%	94%	98%	95%	95%	85%	92%	87%	88%	88%	94%	77%	83%
81.2%	80%	84%	84%	84%	84%	85%	71%	78%	81%	81%	84%	48%	86%	86%	90%	76%	86%	78%	87%	87%	86%
80.1%	85%	86%	84%	84%	77%	70%	87%	87%	88%	87%	90%	7%	90%	81%	91%	85%	80%	86%	73%	72%	92%
79.7%	79%	91%	86%	83%	85%	61%	92%	90%	92%	74%	81%	19%	81%	79%	85%	87%	85%	80%	80%		83%
71.5%	78%	83%	71%	74%	72%	66%	68%	86%	83%	74%	63%	38%	70%	62%	78%	81%	72%	68%	71%	71%	73%
52.1%	65%	75%	74%	66%	51%	46%	55%	45%	53%	39%	46%	37%	37%	37%	75%	75%	30%	42%	44%	49%	53%
56.9%	67%	61%	67%	61%	54%	50%	55%	77%	70%	59%	46%	14%	61%	46%	62%	65%	52%	52%	55%	55%	66%
63.0%	70%	45%	74%	72%	86%	47%	62%	63%	57%	71%	55%	60%	64%	55%	83%	71%	48%	45%	41%	86%	67%
74.1%	74%	70%	71%	77%	78%	93%	82%	82%	81%	80%	74%	9%	79%	68%	77%	83%	74%	80%	78%	70%	76%
79.9%	80%	84%	80%	79%	75%	72%	84%	87%	86%	87%	87%	26%	90%	77%	83%	88%	87%	83%	83%	80%	79%
85.0%	82%	84%	84%	82%	88%	76%	84%	87%	89%	88%	90%	41%	95%	90%	87%	91%	90%	87%	92%	86%	91%
78.4%	81%	77%	76%	78%	79%	80%	82%	81%	78%	78%	82%	71%	84%	81%	73%	79%	79%	81%	76%		71%
79.3%	84%	83%	82%	81%	82%	66%	85%	89%	91%	83%	82%	16%	83%	86%	83%	80%	80%	87%	83%	79%	80%
80.8%	84%	85%	83%	86%	76%	90%	85%	86%	85%	88%	82%	8%	93%	82%	89%	88%	89%	90%	76%	63%	89%
78.9%	87%	84%	78%	80%	79%	82%	82%	75%	80%	86%	80%	21%	86%	80%	88%	88%	87%	77%	84%	71%	82%
70.6%	83%	75%	71%	74%	69%	65%	63%	86%	80%	75%	61%	41%	77%	60%	76%	76%	72%	66%	70%	70%	72%
66.9%	85%	71%	76%	74%	71%	71%	71%	89%	74%	53%	49%	60%	58%	48%	80%	85%	51%	77%	53%	54%	55%
75.6%	88%	83%	83%	86%	82%	61%	82%	73%	72%	73%	75%	64%	68%	71%	79%	76%	71%	78%	78%	71%	74%
60.7%	71%	77%	63%	69%	58%	66%	68%	77%	78%	66%	40%	44%	58%	28%	68%	79%	50%	50%	63%	28%	73%
80.2%	84%	84%	82%	80%	86%	88%	80%	79%	85%	80%	79%	42%	83%	77%	82%	84%	84%	77%	83%	83%	82%
77.6%	98%	96%	85%	98%	78%	75%	83%	82%	98%	81%	74%	49%	49%	39%	98%	89%	93%	89%	39%	49%	87%
44.5%	51%	46%	35%	51%	69%	27%	65%	65%	51%	32%	26%	7%	7%	84%	47%	56%	43%	39%	84%	7%	42%
71.6%	81%	63%	72%	84%	89%	82%	82%	81%	68%	70%	56%	91%	73%	45%	83%	79%	51%	69%	51%	59%	74%
76.6%	87%	88%	79%	79%	47%	82%	86%	86%	81%	79%	72%	47%	85%	84%	82%	68%	81%	81%	66%	82%	66%
81.9%	88%	94%	94%	93%	86%	82%	90%	90%	82%	87%	66%	73%	83%	66%	92%	83%	61%	68%	64%	84%	93%
81.2%	85%	88%	81%	88%	77%	89%	89%	90%	88%	80%	73%	53%	75%	69%	88%	86%	84%	84%	73%	78%	88%
88.5%	96%	93%	95%	93%	80%	95%	93%	95%	87%	91%	97%	88%	88%	59%	97%	90%	88%	88%	70%	88%	87%
73.0%	84%	76%	77%	75%	73%	68%	85%	85%	83%	69%	61%	81%	70%	56%	81%	81%	64%	68%	59%	69%	69%
74.3%	90%	85%	73%	90%	90%	63%	94%	94%	90%	69%	63%	40%	40%	49%	95%	95%	77%	77%	49%	63%	74%
78.8%	91%	77%	82%	90%	69%	86%	93%	90%	86%	78%	61%	76%	67%	48%	93%	89%	54%	82%	62%	86%	94%
66.7%	100%	52%	55%	63%	63%	58%	100%	57%	53%	60%	55%	55%	55%	55%	100%	100%	57%	51%	53%	59%	100%
72.1%	58%	89%	63%	67%	71%	64%	69%	72%	76%	66%	85%	50%	59%	91%	82%	80%	64%	86%	90%	84%	48%

Model Similarity Dendrogram

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