DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 AgeGroup%3A26 35 - Run 820cf23...

Global Dialogues GD3 - 26-35

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Efficiency & Succinctness

General Knowledge

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.3%
2.Claude Haiku 4.5
84.3%
3.Gemini 2.5 Flash
83.8%
4.Claude Sonnet 4.5
83.6%
5.Claude Sonnet 4
83.0%

🔀 Least Similar Models

GPT 4.1vsGPT OSS 20b

75.2% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

92.7% 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	Grok 4.1 Fast
Score	1st 85.3%	2nd 84.3%	5th 83.0%	4th 83.6%	3rd 83.8%	19th 77.1%	12th 81.5%	11th 81.9%	14th 80.2%	6th 82.8%	9th 82.1%	21st 76.6%	10th 82.0%	16th 79.5%	8th 82.5%	7th 82.5%	15th 79.7%	20th 76.9%	18th 78.3%	17th 79.3%	13th 80.5%
86.5%	87%	89%	83%	87%	90%	73%	84%	88%	82%	88%	91%	90%	91%	86%	89%	91%	84%	92%	74%	87%	90%
86.0%	89%	84%	90%	90%	85%	86%	87%	92%	78%	91%	82%	74%	88%	88%	89%	87%	92%	79%	89%	85%	82%
70.6%	68%	70%	73%	73%	67%	78%	67%	73%	67%	73%	73%	75%	73%	73%	68%	72%	71%	71%	65%	67%	66%
73.4%	84%	73%	66%	73%	81%	75%	75%	65%	73%	69%	77%	64%	75%	74%	57%	72%	66%	80%	84%	82%	77%
92.3%	96%	96%	94%	90%	86%	96%	92%	87%	93%	89%	97%	95%	95%	93%	95%	85%	93%	91%	95%	92%	89%
81.5%	82%	88%	82%	87%	83%	72%	89%	85%	83%	82%	80%	83%	77%	75%	87%	82%	80%	96%	78%	66%	74%
87.2%	87%	73%	82%	89%	93%	84%	82%	92%	87%	93%	92%	91%	87%	84%	88%	90%	90%	84%	78%	92%	94%
80.5%	82%	81%	78%	79%	90%	64%	78%	85%	78%	84%	85%	82%	83%	86%	82%	78%	83%	80%	72%	82%	79%
88.8%	86%	87%	87%	86%	98%	87%	78%	90%	87%	90%	87%	91%	87%	90%	88%	91%	97%	93%	86%	93%	85%
72.4%	84%	77%	62%	73%	85%	77%	71%	62%	74%	65%	74%	59%	70%	73%	49%	69%	79%	77%	90%	73%	77%
83.0%	91%	91%	91%	91%	69%	92%	89%	90%	85%	77%	82%	74%	90%	69%	87%	89%	74%	61%	79%	88%	83%
71.3%	84%	83%	65%	75%	87%	74%	68%	60%	55%	60%	75%	57%	68%	65%	67%	63%	72%	76%	86%	82%	76%
87.5%	87%	95%	96%	88%	94%	87%	89%	85%	87%	94%	84%	66%	92%	89%	92%	95%	83%	69%	87%	84%	94%
87.4%	95%	96%	85%	84%	86%	87%	93%	89%	85%	85%	87%	84%	90%	93%	94%	86%	79%	79%	94%	73%	91%
86.8%	90%	93%	93%	92%	89%	81%	91%	91%	88%	88%	85%	79%	91%	91%	88%	91%	81%	73%	83%		78%
81.7%	87%	81%	82%	95%	93%	66%	83%	91%	80%	84%	87%	78%	81%	76%	91%	88%	79%	60%	68%	75%	90%
65.6%	69%	71%	72%	73%	71%	73%	67%	47%	63%	60%	61%	68%	59%	59%	70%	68%	70%	59%	69%	61%	67%
70.7%	76%	73%	70%	74%	69%	56%	63%	77%	66%	74%	73%	72%	72%	66%	75%	74%	80%	70%	60%	74%	70%
67.8%	65%	61%	81%	78%	59%	58%	80%	62%	64%	81%	76%	76%	71%	55%	81%	75%	63%	50%	52%	64%	71%
88.6%	91%	79%	90%	89%	96%	89%	86%	94%	91%	93%	93%	92%	89%	82%	84%	86%	90%	86%	89%	82%	89%
87.3%	94%	95%	92%	91%	90%	73%	95%	93%	91%	94%	84%	83%	88%	91%	89%	90%	92%	75%	82%	69%	82%
87.6%	92%	96%	95%	91%	93%	72%	92%	86%	88%	92%	91%	77%	93%	87%	89%	94%	88%	84%	75%	79%	85%
84.7%	97%	86%	88%	89%	89%	77%	85%	85%	81%	88%	89%	68%	79%	79%	90%	88%	77%	88%	85%	86%	84%
88.8%	98%	93%	92%	91%	90%	91%	95%	94%	91%	95%	90%	71%	94%	89%	94%	87%	86%	69%	77%	93%	85%
86.3%	95%	90%	91%	82%	91%	87%	90%	89%	83%	85%	91%	82%	87%	87%	92%	83%	80%	72%	90%	89%	76%
80.7%	89%	82%	86%	80%	85%	75%	76%	72%	81%	84%	84%	73%	81%	84%	86%	79%	79%	73%	81%	79%	86%
72.4%	78%	80%	78%	78%	69%	52%	70%	77%	72%	80%	64%	72%	75%	64%	77%	80%	76%	71%	66%	71%	70%
81.5%	78%	88%	80%	83%	90%	63%	80%	93%	90%	85%	77%	84%	82%	75%	91%	88%	79%	80%	65%	83%	78%
69.4%	74%	86%	70%	73%	75%	71%	69%	76%	55%	60%	68%	54%	68%	57%	72%	74%	62%	64%	74%	75%	80%
74.2%	68%	80%	82%	77%	91%	67%	68%	68%	70%	72%	80%	74%	70%	75%	80%	68%	79%	66%	71%	70%	83%
86.9%	93%	88%	94%	93%	87%	83%	87%	84%	85%	94%	85%	73%	91%	92%	93%	93%	79%	84%	80%	83%	83%
81.3%	83%	83%	79%	79%	85%	74%	86%	79%	85%	79%	79%	77%	79%	79%	81%	79%	81%	81%	88%	86%	86%
64.9%	64%	64%	67%	67%	61%	72%	61%	67%	61%	67%	67%	69%	67%	67%	64%	67%	65%	65%	59%	61%	61%
84.6%	91%	85%	86%	89%	93%	78%	77%	90%	93%	90%	87%	85%	85%	73%	84%	86%	91%	64%	72%	90%	87%
71.0%	85%	80%	63%	71%	63%	68%	63%	62%	64%	73%	71%	70%	74%	95%	56%	67%	62%	78%	93%	74%	60%
82.7%	85%	88%	86%	82%	83%	86%	92%	90%	85%	85%	80%	76%	85%	83%	79%	71%	83%	78%	79%	78%	82%
87.3%	94%	88%	91%	84%	90%	87%	89%	88%	89%	95%	81%	70%	91%	89%	90%	93%	80%	86%	86%	86%	87%
86.7%	98%	91%	98%	92%	80%	78%	92%	89%	93%	92%	89%	75%	89%	72%	96%	93%	72%	82%	75%	77%	97%
80.9%	85%	87%	85%	92%	84%	62%	86%	90%	81%	85%	81%	78%	80%	75%	86%	87%	80%	73%	70%	77%	74%
96.2%	96%	96%	99%	99%	93%	95%	93%	99%	93%	99%	99%	99%	99%	99%	97%	99%	97%	97%	91%	88%	93%
86.3%	86%	88%	91%	93%	88%	86%	92%	92%	93%	88%	88%	81%	84%	84%	87%	89%	78%	85%	76%	87%	76%
75.2%	76%	79%	74%	74%	74%	75%	77%	77%	73%	75%	75%	78%	81%	78%	74%	75%	74%	75%	75%	69%	72%
82.0%	88%	89%	79%	79%	89%	87%	79%	78%	87%	82%	88%	76%	76%	79%	79%	87%	82%	89%	81%	77%	71%

Model Similarity Dendrogram

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