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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AiConcern%3Aequally Concerned And Excited C10 - Run e40435e...

Global Dialogues GD3 - Equally concerned and excited (10 context Qs)

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

Mathematics & Statistics

Best Models (Coverage)

1.Claude Sonnet 4.5
86.2%
2.Claude 3.7 Sonnet
85.3%
3.Claude Sonnet 4
84.4%
4.GPT 5
84.3%
5.GPT 5.1
84.0%

🔀 Least Similar Models

Claude Haiku 4.5vsGPT 4o Mini

71.8% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

90.8% 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 85.3%	6th 83.8%	3rd 84.4%	1st 86.2%	7th 82.5%	15th 79.0%	10th 82.3%	11th 81.1%	11th 81.1%	8th 82.5%	9th 82.4%	20th 69.6%	14th 80.3%	19th 73.7%	4th 84.3%	5th 84.0%	17th 75.8%	18th 75.5%	13th 80.7%	16th 77.3%
85.4%	92%	72%	92%	97%	82%	87%	89%	89%	91%	93%	87%	77%	87%	49%	91%	87%	81%	80%	92%	92%
84.5%	82%	80%	91%	91%	68%	80%	77%	89%	78%	89%	94%	91%	86%	80%	95%	93%	89%	68%	92%	78%
67.8%	62%	66%	83%	80%	62%	77%	72%	72%	62%	65%	74%	62%	62%	77%	62%	66%	61%	66%	63%	63%
90.4%	96%	85%	95%	90%	88%	86%	91%	92%	94%	89%	91%	92%	94%	80%	93%	93%	90%	86%	91%	92%
90.9%	91%	100%	93%	91%	85%	85%	86%	90%	89%	97%	99%	93%	98%	82%	92%	94%	89%	87%	88%	89%
87.6%	89%	91%	86%	90%	91%	94%	88%	90%	89%	86%	95%	74%	81%	94%	79%	87%	87%	95%	84%	82%
88.8%	90%	91%	90%	91%	86%	91%	89%	91%	92%	90%	90%	89%	88%	89%	92%	86%	86%	86%	80%	89%
82.6%	92%	86%	80%	89%	83%	84%	94%	92%	93%	81%	90%	43%	85%	72%	87%	90%	80%	68%	81%	81%
86.7%	87%	84%	87%	84%	99%	67%	87%	92%	89%	92%	87%	83%	89%	76%	88%	88%	95%	86%	80%	94%
90.7%	92%	92%	93%	96%	92%	97%	87%	79%	92%	93%	92%	94%	93%	92%	84%	93%	80%	89%	92%	92%
84.6%	93%	91%	94%	93%	92%	88%	92%	92%	88%	76%	83%	81%	71%	81%	81%	83%	72%	68%	83%	89%
84.9%	92%	93%	90%	96%	94%	73%	86%	90%	89%	81%	80%	94%	70%	94%	83%	88%	62%	60%	91%	93%
82.5%	79%	87%	89%	92%	90%	91%	78%	75%	82%	88%	85%	72%	89%	78%	78%	85%	75%	74%	89%	74%
87.8%	94%	91%	95%	95%	93%	71%	91%	89%	93%	93%	82%	68%	92%	66%	94%	92%	85%	85%	94%	92%
83.1%	92%	86%	92%	93%	91%	91%	87%	91%	86%	91%	87%	6%	90%	82%	93%	91%	83%	63%	87%	81%
83.2%	91%	85%	90%	94%	81%	81%	82%	87%	83%	82%	87%	81%	84%	59%	85%	89%	76%	78%	84%	85%
67.5%	71%	91%	73%	74%	73%	66%	70%	49%	67%	61%	71%	52%	50%	75%	69%	69%	56%	75%	72%	67%
75.0%	84%	82%	75%	83%	84%	56%	75%	76%	72%	69%	73%	67%	74%	73%	72%	72%	77%	81%	80%	74%
66.2%	69%	54%	68%	69%	79%	46%	62%	66%	67%	83%	61%	45%	77%	56%	83%	87%	72%	59%	52%	69%
84.7%	94%	91%	86%	96%	91%	76%	95%	78%	77%	96%	80%	76%	90%	76%	92%	92%	79%	74%	79%	76%
82.5%	82%	88%	92%	93%	87%	93%	85%	82%	94%	94%	90%	24%	91%	68%	86%	87%	82%	66%	79%	87%
85.2%	80%	86%	82%	83%	85%	85%	88%	88%	86%	89%	85%	82%	89%	86%	86%	96%	83%	79%	78%	87%
80.3%	83%	80%	80%	79%	90%	78%	89%	88%	77%	88%	90%	65%	79%	79%	79%	80%	72%	73%	85%	73%
81.8%	84%	95%	92%	93%	84%	91%	75%	81%	85%	89%	91%	61%	84%	70%	86%	90%	74%	55%	80%	77%
82.8%	81%	80%	95%	95%	81%	68%	89%	82%	91%	90%	97%	64%	77%	64%	92%	85%	73%	82%	88%	83%
72.3%	72%	75%	77%	77%	79%	64%	65%	69%	72%	81%	78%	69%	68%	50%	80%	80%	61%	77%	77%	74%
75.8%	87%	82%	80%	83%	75%	67%	75%	79%	75%	76%	72%	71%	78%	65%	82%	76%	76%	71%	77%	69%
83.3%	89%	93%	79%	89%	94%	72%	83%	92%	89%	75%	83%	74%	81%	91%	88%	86%	71%	90%	73%	74%
75.9%	86%	93%	86%	86%	94%	67%	76%	75%	70%	68%	68%	78%	72%	67%	77%	75%	69%	72%	68%	72%
75.1%	89%	82%	82%	94%	65%	84%	73%	84%	82%	74%	86%	68%	77%	63%	79%	77%	80%	74%	88%	0%
83.2%	84%	83%	86%	82%	81%	91%	83%	85%	84%	87%	83%	80%	85%	83%	85%	88%	79%	72%	86%	78%
76.6%	86%	81%	64%	66%	86%	70%	74%	74%	86%	82%	73%	86%	86%	32%	86%	79%	84%	70%	84%	84%
64.1%	55%	59%	76%	73%	55%	70%	66%	66%	55%	58%	67%	55%	55%	84%	55%	65%	57%	70%	57%	84%
81.8%	89%	81%	83%	90%	89%	73%	80%	81%	82%	83%	78%	76%	82%	76%	87%	85%	80%	84%	76%	82%
74.2%	79%	94%	82%	82%	68%	74%	68%	65%	61%	64%	69%	79%	75%	68%	80%	76%	59%	89%	95%	56%
82.3%	87%	84%	91%	89%	73%	88%	90%	89%	84%	87%	80%	80%	87%	74%	78%	86%	81%	66%	79%	73%
79.7%	85%	81%	86%	85%	89%	89%	89%	78%	84%	83%	87%	9%	89%	83%	85%	84%	74%	72%	84%	78%
84.4%	92%	86%	91%	91%	75%	93%	91%	88%	86%	99%	77%	71%	85%	83%	91%	94%	67%	62%	91%	75%
84.2%	92%	84%	91%	89%	95%	83%	89%	87%	85%	88%	86%	80%	81%	80%	92%	85%	76%	71%	74%	76%
90.4%	90%	94%	88%	90%	90%	94%	99%	99%	90%	93%	97%	90%	90%	53%	90%	90%	92%	95%	92%	91%
86.3%	87%	93%	86%	89%	94%	82%	84%	95%	92%	79%	91%	69%	83%	89%	90%	91%	70%	87%	93%	83%
51.6%	100%	43%	43%	48%	44%	56%	73%	37%	34%	56%	37%	44%	44%	40%	100%	54%	43%	51%	36%	48%
76.5%	77%	89%	76%	77%	72%	78%	78%	53%	69%	68%	89%	77%	64%	89%	78%	79%	81%	89%	77%	70%

Model Similarity Dendrogram

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