DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A18 25 C10 - Run e9ecde6...

Global Dialogues GD3 - 18-25 (10 context Qs)

DTEF: Predict response distributions for 18-25. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

General Knowledge

Efficiency & Succinctness

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.2%
2.GPT 5.1
83.7%
3.Claude Haiku 4.5
83.6%
4.Gemini 2.5 Flash
83.4%
5.GPT 5
82.6%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

71.5% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

90.0% similarity

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Macro Coverage Overview

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

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Color Scale - Simplified View (Avg. Coverage)

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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	1st 85.2%	3rd 83.6%	16th 77.8%	19th 76.8%	4th 83.4%	17th 77.0%	9th 81.7%	7th 82.4%	10th 81.6%	6th 82.6%	11th 81.4%	14th 78.9%	8th 82.1%	15th 77.9%	5th 82.6%	2nd 83.7%	18th 76.9%	20th 74.5%	12th 80.0%	13th 79.1%
84.8%	90%	88%	87%	87%	81%	77%	81%	87%	85%	87%	85%	89%	87%	84%	91%	84%	83%	80%	86%	77%
87.0%	88%	91%	91%	86%	76%	97%	91%	93%	90%	85%	81%	81%	95%	81%	87%	91%	77%	87%	92%	80%
62.3%	71%	65%	0%	0%	75%	73%	68%	69%	62%	73%	74%	77%	70%	68%	58%	67%	65%	77%	65%	70%
91.2%	94%	86%	94%	92%	92%	86%	92%	95%	85%	95%	87%	90%	96%	91%	94%	94%	85%	94%	94%	88%
90.3%	98%	87%	90%	88%	88%	98%	92%	97%	89%	94%	98%	96%	91%	90%	92%	91%	74%	83%	84%	87%
76.3%	84%	87%	83%	87%	80%	74%	79%	85%	73%	73%	85%	70%	68%	73%	68%	74%	68%	75%	76%	65%
88.1%	84%	84%	89%	84%	81%	91%	80%	91%	91%	90%	89%	95%	83%	95%	91%	90%	89%	96%	82%	87%
77.0%	86%	77%	73%	81%	74%	49%	79%	89%	83%	82%	70%	76%	80%	73%	88%	91%	77%	80%	66%	66%
87.9%	82%	90%	90%	88%	88%	73%	78%	84%	87%	94%	92%	90%	92%	95%	84%	90%	90%	92%	82%	97%
84.7%	92%	90%	86%	91%	90%	92%	77%	73%	82%	81%	65%	90%	90%	90%	84%	92%	71%	77%	90%	90%
84.2%	88%	83%	95%	93%	82%	89%	93%	87%	89%	79%	93%	90%	77%	79%	78%	79%	85%	65%	84%	77%
87.9%	95%	90%	96%	98%	95%	82%	90%	91%	86%	80%	88%	94%	84%	81%	92%	82%	78%	76%	93%	88%
82.0%	74%	85%	80%	85%	87%	88%	80%	78%	82%	85%	92%	78%	88%	89%	84%	88%	71%	67%	88%	71%
86.1%	95%	88%	97%	97%	89%	71%	91%	87%	90%	92%	80%	71%	95%	69%	85%	90%	76%	75%	90%	95%
88.9%	94%	91%	92%	88%	95%	87%	89%	88%	90%	83%	91%	82%	91%	89%	89%	91%	89%	85%	85%	88%
85.9%	94%	91%	88%	88%	81%	76%	83%	93%	87%	90%	84%	82%	90%	79%	96%	91%	81%	75%	88%	80%
60.7%	65%	70%	70%	59%	68%	57%	66%	46%	63%	56%	58%	52%	54%	60%	66%	69%	55%	56%	61%	62%
73.8%	89%	75%	86%	86%	90%	53%	64%	85%	71%	76%	68%	70%	79%	54%	79%	76%	78%	48%	80%	69%
68.2%	69%	56%	79%	63%	67%	52%	72%	76%	76%	84%	67%	51%	71%	63%	90%	88%	57%	66%	53%	63%
85.6%	97%	95%	94%	94%	89%	76%	94%	78%	77%	88%	84%	80%	90%	79%	87%	89%	78%	78%	79%	86%
88.4%	83%	93%	85%	86%	93%	78%	94%	86%	95%	89%	92%	92%	96%	88%	90%	88%	92%	81%	82%	84%
86.6%	89%	89%	90%	82%	91%	72%	89%	90%	92%	88%	84%	90%	91%	81%	89%	92%	89%	83%	75%	86%
78.3%	72%	65%	84%	69%	91%	87%	88%	86%	68%	88%	86%	83%	82%	90%	66%	73%	68%	63%	85%	72%
83.9%	86%	89%	90%	89%	88%	88%	83%	83%	84%	88%	93%	78%	82%	87%	88%	90%	77%	53%	84%	77%
84.2%	81%	88%	88%	81%	92%	78%	90%	86%	88%	89%	92%	71%	80%	67%	82%	86%	94%	79%	89%	83%
74.5%	72%	77%	77%	79%	81%	75%	73%	67%	75%	76%	79%	71%	73%	79%	65%	74%	62%	80%	78%	77%
76.0%	84%	78%	81%	84%	80%	56%	70%	84%	75%	76%	60%	76%	78%	67%	79%	78%	79%	81%	77%	78%
78.6%	86%	83%	74%	80%	94%	62%	77%	87%	85%	77%	80%	68%	77%	64%	91%	88%	76%	70%	63%	90%
70.7%	84%	88%	83%	85%	79%	57%	79%	62%	77%	65%	66%	77%	61%	56%	80%	65%	59%	62%	61%	69%
77.5%	81%	84%	78%	88%	89%	69%	63%	79%	87%	75%	75%	67%	79%	76%	75%	73%	82%	72%	83%	76%
83.9%	88%	81%	88%	87%	89%	85%	84%	80%	85%	86%	88%	78%	88%	83%	82%	88%	79%	75%	83%	81%
68.5%	75%	82%	0%	0%	72%	73%	78%	78%	84%	73%	73%	69%	76%	78%	80%	82%	80%	85%	81%	52%
57.4%	65%	59%	0%	0%	68%	67%	62%	63%	57%	67%	67%	71%	64%	62%	53%	59%	60%	56%	59%	89%
82.8%	92%	84%	84%	94%	83%	78%	80%	80%	81%	89%	78%	77%	81%	77%	88%	93%	81%	84%	74%	77%
74.9%	86%	84%	81%	81%	75%	80%	63%	75%	67%	69%	67%	64%	68%	71%	80%	85%	71%	70%	91%	71%
83.3%	94%	90%	94%	91%	67%	78%	91%	88%	80%	89%	89%	79%	88%	72%	83%	76%	80%	81%	78%	78%
88.3%	91%	92%	88%	84%	83%	89%	92%	84%	91%	89%	91%	87%	92%	86%	92%	91%	86%	81%	87%	89%
85.5%	94%	88%	97%	88%	76%	99%	89%	92%	90%	96%	90%	76%	93%	73%	85%	91%	69%	59%	92%	73%
81.7%	96%	89%	87%	84%	86%	70%	87%	91%	81%	83%	79%	85%	81%	64%	89%	85%	84%	62%	64%	86%
86.0%	98%	95%	0%	0%	94%	96%	99%	100%	93%	96%	96%	92%	99%	99%	88%	95%	96%	92%	96%	96%
79.7%	83%	84%	82%	80%	96%	79%	81%	85%	97%	82%	83%	75%	76%	81%	78%	80%	63%	38%	82%	89%
79.8%	83%	86%	78%	78%	78%	71%	84%	80%	77%	87%	75%	81%	77%	86%	82%	79%	79%	80%	83%	72%
76.1%	71%	77%	78%	77%	72%	81%	78%	66%	62%	66%	85%	81%	77%	81%	83%	79%	75%	86%	77%	69%

Model Similarity Dendrogram

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