DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AiConcern%3Amore Concerned Than Excited C10 - Run 9f835ff...

Global Dialogues GD3 - More concerned than excited (10 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

Reasoning

General Knowledge

Mathematics & Statistics

Efficiency & Succinctness

Best Models (Coverage)

1.GPT 5.1
84.1%
2.Claude 3.7 Sonnet
83.7%
3.GPT 5
83.0%
4.Claude Haiku 4.5
83.0%
5.Claude Sonnet 4.5
81.8%

🔀 Least Similar Models

Claude Haiku 4.5vsGPT 4.1 Nano

69.1% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

91.0% 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 83.7%	4th 83.0%	11th 78.9%	5th 81.8%	12th 77.3%	14th 75.7%	8th 80.9%	6th 81.5%	7th 81.3%	9th 79.9%	18th 73.8%	20th 54.2%	16th 75.0%	19th 70.3%	3rd 83.0%	1st 84.1%	13th 76.3%	17th 74.6%	15th 75.5%	10th 79.5%
80.1%	86%	92%	83%	78%	81%	71%	84%	89%	87%	88%	70%	38%	91%	66%	91%	89%	86%	71%	72%	88%
82.2%	84%	81%	87%	90%	79%	87%	82%	84%	96%	95%	71%	31%	96%	76%	80%	87%	80%	86%	88%	84%
58.1%	59%	65%	39%	74%	55%	47%	70%	71%	53%	45%	53%	80%	11%	80%	59%	59%	50%	59%	53%	80%
90.3%	95%	73%	91%	92%	91%	85%	93%	95%	93%	96%	91%	94%	96%	90%	91%	89%	88%	91%	87%	85%
88.6%	95%	97%	97%	97%	90%	95%	95%	93%	90%	92%	77%	77%	90%	77%	86%	85%	80%	82%	89%
83.3%	93%	94%	93%	93%	96%	79%	78%	75%	76%	75%	73%	95%	76%	78%	84%	89%	85%	91%	70%	74%
83.0%	83%	87%	73%	82%	69%	85%	81%	87%	93%	79%	77%	74%	84%	90%	86%	89%	87%	82%	83%	89%
72.7%	77%	86%	69%	72%	64%	49%	80%	91%	84%	82%	63%	26%	86%	65%	81%	86%	73%	84%	64%	71%
78.4%	84%	84%	70%	70%	88%	74%	84%	78%	85%	79%	76%	76%	80%	67%	85%	88%	91%	63%	64%	82%
91.2%	94%	96%	94%	96%	94%	94%	89%	87%	90%	94%	94%	94%	89%	94%	93%	93%	88%	69%	94%	88%
77.2%	83%	90%	86%	86%	75%	73%	79%	84%	82%	72%	70%	91%	71%	58%	80%	80%	71%	67%	80%	66%
86.1%	84%	93%	95%	97%	91%	84%	90%	91%	91%	80%	84%	95%	78%	81%	85%	97%	80%	62%	95%	68%
76.7%	77%	73%	84%	81%	85%	87%	73%	76%	80%	76%	86%	50%	72%	86%	70%	79%	67%	70%	87%	75%
89.7%	92%	92%	90%	91%	87%	91%	89%	93%	93%	95%	90%	56%	94%	91%	94%	96%	90%	85%	95%	90%
81.9%	88%	91%	79%	87%	73%	80%	94%	90%	92%	89%	76%	19%	90%	71%	87%	87%	84%	90%	83%	89%
77.5%	80%	86%	78%	82%	73%	83%	78%	91%	82%	87%	65%	42%	87%	62%	83%	81%	73%	80%	79%	78%
52.5%	65%	75%	66%	66%	52%	46%	59%	48%	52%	43%	50%	36%	36%	37%	70%	67%	35%	55%	40%
64.8%	74%	75%	69%	69%	64%	51%	64%	79%	80%	72%	49%	14%	75%	46%	69%	75%	73%	58%	65%	75%
70.7%	72%	60%	77%	71%	79%	65%	66%	65%	70%	81%	65%	56%	79%	72%	79%	75%	74%	81%	50%	76%
80.3%	82%	85%	83%	83%	84%	75%	87%	73%	75%	87%	83%	72%	85%	73%	85%	83%	77%	74%	80%	79%
81.9%	84%	81%	81%	81%	84%	77%	86%	87%	88%	93%	80%	16%	92%	78%	90%	95%	89%	87%	83%	86%
86.1%	82%	89%	82%	82%	91%	74%	85%	87%	90%	94%	90%	65%	87%	83%	88%	94%	93%	91%	87%	88%
77.5%	81%	80%	77%	76%	88%	71%	81%	81%	78%	85%	82%	44%	66%	81%	75%	80%	77%	78%	89%	79%
81.3%	84%	84%	80%	80%	80%	80%	82%	85%	87%	84%	82%	58%	85%	87%	84%	83%	84%	77%	83%	77%
87.1%	88%	89%	89%	87%	78%	88%	85%	85%	91%	95%	89%	55%	93%	86%	92%	93%	92%	83%	94%	89%
76.0%	82%	84%	77%	81%	80%	82%	80%	69%	80%	85%	81%	7%	73%	80%	81%	79%	77%	77%	84%	81%
74.9%	84%	84%	78%	78%	76%	68%	75%	89%	81%	80%	65%	37%	84%	61%	81%	88%	69%	71%	77%	73%
72.2%	87%	93%	69%	80%	70%	72%	81%	85%	80%	66%	48%	48%	68%	41%	83%	88%	62%	90%	50%	84%
75.6%	82%	82%	84%	89%	87%	66%	83%	73%	70%	72%	72%	66%	69%	71%	80%	76%	71%	73%	71%	75%
68.8%	84%	83%	74%	81%	64%	83%	71%	85%	79%	76%	46%	60%	75%	27%	72%	69%	55%	69%	68%	54%
77.6%	83%	79%	83%	77%	82%	82%	82%	78%	81%	79%	79%	21%	83%	78%	81%	78%	85%	81%	82%	77%
83.9%	94%	87%	85%	78%	98%	93%	82%	80%	100%	91%	100%	39%	49%	39%	94%	93%	97%	89%	100%	89%
53.8%	55%	61%	35%	69%	51%	43%	65%	67%	49%	41%	49%	84%	7%	84%	49%	49%	46%	39%	49%	84%
76.9%	82%	72%	80%	85%	95%	67%	68%	82%	83%	80%	68%	72%	75%	69%	81%	83%	80%	73%	70%	73%
79.7%	85%	86%	82%	91%	64%	78%	77%	71%	73%	74%	76%	81%	85%	85%	88%	86%	80%	77%	82%	73%
80.2%	92%	87%	97%	92%	63%	85%	89%	93%	86%	96%	70%	30%	82%	60%	88%	85%	80%	68%	69%	91%
80.3%	83%	88%	81%	85%	81%	88%	88%	89%	90%	87%	79%	11%	88%	68%	84%	86%	85%	84%	77%	85%
87.9%	96%	79%	95%	95%	87%	95%	93%	93%	92%	95%	89%	65%	88%	93%	85%	93%	79%	84%	74%	88%
73.3%	88%	79%	77%	74%	79%	66%	86%	84%	72%	78%	62%	31%	73%	54%	93%	82%	83%	63%	59%	82%
80.4%	95%	98%	73%	90%	90%	82%	94%	92%	88%	79%	88%	49%	40%	49%	95%	88%	85%	77%	88%	68%
75.9%	89%	92%	89%	88%	37%	84%	94%	96%	89%	72%	65%	37%	85%	51%	95%	93%	71%	38%	67%	86%
63.9%	100%	49%	57%	55%	53%	53%	64%	53%	54%	65%	57%	51%	55%	67%	100%	100%	52%	67%	54%	72%
72.3%	70%	90%	63%	67%	76%	75%	73%	61%	73%	60%	94%	89%	56%	71%	74%	83%	57%	73%	71%	69%

Model Similarity Dendrogram

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