DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A36 45 C10 - Run 1462021...

Global Dialogues GD3 - 36-45 (10 context Qs)

DTEF: Predict response distributions for 36-45. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Reasoning

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.3%
2.GPT 5.1
84.9%
3.Claude Sonnet 4.5
84.4%
4.GPT 4.1 Mini
84.0%
5.GPT 4.1
83.6%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

68.1% similarity

👯 Most Similar Models

GPT 4.1 MinivsGPT 4o Mini

88.9% 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	Grok 4
Score	1st 85.3%	5th 83.6%	21st 76.3%	3rd 84.4%	9th 83.0%	19th 79.2%	12th 82.3%	11th 82.4%	13th 81.4%	5th 83.6%	4th 84.0%	14th 81.0%	7th 83.3%	16th 80.6%	8th 83.3%	2nd 84.9%	17th 80.4%	20th 77.4%	10th 82.7%	18th 80.1%	15th 80.8%
87.7%	95%	89%	84%	84%	94%	78%	90%	90%	83%	86%	90%	81%	93%	80%	93%	90%	94%	81%	90%	89%
78.5%	77%	70%	84%	84%	51%	86%	73%	75%	70%	81%	88%	83%	85%	87%	83%	78%	79%	78%	87%	71%
64.3%	73%	65%	0%	60%	59%	75%	70%	71%	60%	74%	70%	73%	72%	70%	65%	65%	70%	64%	62%	68%
91.8%	96%	86%	97%	92%	91%	89%	94%	94%	95%	94%	98%	93%	91%	88%	85%	95%	89%	88%	91%	90%
89.7%	80%	88%	84%	84%	87%	94%	86%	96%	92%	95%	97%	95%	89%	95%	89%	92%	96%	89%	78%	87%
87.0%	84%	88%	84%	84%	94%	93%	89%	93%	94%	87%	91%	82%	86%	85%	80%	89%	85%	77%	84%	91%
87.3%	86%	88%	81%	86%	84%	91%	82%	91%	88%	88%	88%	89%	87%	87%	85%	89%	85%	92%	88%	91%
85.3%	90%	88%	77%	80%	88%	60%	82%	95%	92%	87%	85%	87%	88%	77%	93%	95%	84%	89%	78%	91%
76.5%	83%	71%	71%	71%	81%	61%	70%	72%	73%	79%	77%	80%	82%	77%	80%	84%	87%	73%	72%	86%
90.2%	93%	86%	96%	92%	93%	95%	86%	84%	89%	92%	82%	93%	92%	93%	90%	92%	86%	78%	93%	95%	95%
80.0%	84%	88%	89%	91%	78%	88%	88%	86%	83%	75%	82%	90%	74%	71%	75%	79%	65%	55%	83%	76%
87.3%	95%	88%	94%	96%	94%	93%	88%	90%	90%	76%	84%	94%	78%	94%	81%	91%	87%	89%	96%	81%	55%
83.1%	82%	94%	93%	90%	92%	92%	81%	74%	79%	84%	91%	75%	81%	93%	80%	78%	71%	71%	90%	71%
86.7%	80%	87%	81%	87%	85%	86%	86%	91%	92%	91%	94%	82%	92%	76%	90%	91%	81%	87%	91%	85%	86%
86.5%	94%	90%	81%	90%	92%	87%	89%	82%	82%	90%	89%	78%	90%	89%	89%	92%	80%	77%	87%	83%
84.2%	94%	85%	91%	93%	90%	69%	85%	91%	83%	84%	78%	83%	89%	75%	83%	86%	83%	75%	83%	84%
70.2%	82%	77%	77%	77%	74%	62%	73%	53%	69%	64%	64%	79%	64%	60%	74%	79%	71%	64%	76%	64%
69.3%	78%	68%	68%	80%	78%	47%	60%	80%	61%	63%	65%	65%	73%	56%	69%	77%	87%	69%	73%
68.4%	80%	55%	84%	72%	84%	51%	69%	72%	69%	84%	75%	48%	77%	60%	89%	69%	66%	54%	50%	60%
84.9%	95%	86%	92%	88%	94%	79%	95%	80%	78%	94%	78%	79%	88%	77%	93%	93%	79%	77%	77%	76%
86.9%	82%	88%	82%	81%	93%	75%	88%	85%	91%	88%	94%	92%	92%	91%	85%	93%	74%	87%	85%	92%
83.7%	78%	82%	77%	82%	81%	80%	86%	82%	86%	88%	88%	85%	87%	93%	79%	89%	86%	76%	85%	84%
85.2%	86%	83%	82%	86%	90%	87%	94%	89%	86%	90%	90%	78%	76%	79%	81%	87%	86%	80%	87%	87%	85%
85.6%	85%	99%	92%	95%	96%	89%	81%	81%	83%	89%	96%	73%	84%	87%	85%	89%	80%	67%	84%	76%
89.3%	90%	85%	86%	90%	91%	86%	88%	91%	89%	93%	90%	88%	91%	79%	94%	92%	93%	88%	95%	87%
78.1%	81%	79%	80%	82%	82%	74%	77%	71%	76%	85%	83%	82%	80%	84%	70%	86%	70%	81%	80%	59%
78.5%	91%	82%	77%	82%	82%	61%	76%	86%	78%	79%	64%	76%	83%	68%	85%	85%	74%	78%	80%	84%
86.4%	95%	94%	86%	88%	98%	69%	88%	95%	91%	93%	85%	78%	87%	70%	92%	92%	81%	81%	80%	84%	88%
79.3%	83%	87%	86%	89%	78%	77%	81%	77%	77%	78%	78%	77%	76%	69%	81%	81%	75%	80%	78%	80%	78%
82.0%	91%	86%	84%	92%	96%	77%	68%	89%	86%	78%	79%	76%	80%	77%	86%	84%	74%	78%	86%	74%
81.5%	82%	80%	77%	85%	78%	81%	85%	75%	78%	82%	87%	82%	82%	88%	83%	87%	75%	72%	89%	81%
80.3%	79%	86%	0%	92%	93%	76%	81%	80%	91%	77%	81%	78%	79%	81%	90%	86%	87%	87%	90%	92%
58.7%	67%	60%	0%	55%	54%	70%	64%	66%	55%	69%	65%	68%	67%	65%	55%	61%	59%	59%	57%	58%
81.6%	89%	79%	84%	89%	85%	74%	78%	83%	84%	85%	82%	76%	79%	76%	86%	83%	85%	82%	75%	79%
75.9%	85%	93%	77%	87%	51%	76%	73%	72%	69%	69%	68%	74%	78%	72%	80%	77%	73%	70%	89%	76%	85%
80.9%	83%	85%	88%	82%	69%	88%	83%	84%	78%	83%	82%	82%	85%	83%	85%	69%	82%	67%	82%	77%
82.6%	87%	74%	81%	81%	90%	88%	84%	74%	81%	85%	86%	84%	87%	91%	78%	81%	78%	74%	86%	82%
87.8%	77%	96%	90%	90%	83%	89%	84%	93%	86%	85%	92%	80%	93%	87%	94%	96%	87%	86%	98%	71%
86.5%	91%	91%	97%	96%	89%	80%	91%	84%	91%	94%	88%	90%	89%	85%	84%	85%	80%	76%	81%	81%	74%
90.1%	94%	97%	0%	91%	90%	93%	98%	97%	92%	94%	98%	95%	96%	98%	95%	97%	98%	96%	93%	91%
82.8%	91%	85%	87%	86%	67%	79%	87%	87%	79%	89%	90%	76%	82%	80%	88%	86%	81%	77%	82%	77%
79.3%	81%	83%	79%	77%	80%	72%	84%	80%	81%	80%	82%	79%	74%	86%	81%	81%	79%	75%	79%	73%
80.0%	79%	84%	82%	72%	72%	87%	85%	61%	69%	74%	97%	84%	84%	87%	78%	80%	76%	84%	84%	80%

Model Similarity Dendrogram

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