DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 AgeGroup%3A26 35 C10 - Run 649c626...

Global Dialogues GD3 - 26-35 (10 context Qs)

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

TAGS:

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Reasoning

Efficiency & Succinctness

Best Models (Coverage)

1.Grok 4
86.0%
2.GPT 5.1
86.0%
3.Claude 3.7 Sonnet
85.8%
4.Claude Haiku 4.5
85.0%
5.GPT 5
84.9%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

72.4% similarity

👯 Most Similar Models

GPT 4.1 NanovsGPT 4o Mini

89.8% 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	Grok 4
Score	3rd 85.8%	4th 85.0%	6th 84.8%	13th 82.0%	15th 80.8%	16th 79.9%	12th 82.0%	9th 83.7%	11th 82.5%	7th 84.1%	10th 82.9%	17th 79.5%	8th 84.1%	18th 78.8%	5th 84.9%	2nd 86.0%	20th 78.4%	21st 78.0%	14th 81.8%	19th 78.5%	1st 86.0%
88.9%	95%	94%	82%	92%	87%	80%	86%	96%	90%	86%	90%	91%	93%	79%	92%	96%	90%	81%	92%	85%
86.2%	81%	72%	90%	92%	63%	91%	78%	86%	82%	89%	91%	90%	88%	93%	96%	95%	87%	85%	92%	83%
69.3%	76%	70%	75%	0%	63%	78%	73%	76%	63%	78%	79%	75%	75%	75%	69%	67%	73%	80%	70%	71%
87.8%	92%	82%	89%	89%	84%	84%	92%	91%	89%	89%	85%	89%	91%	82%	91%	92%	87%	82%	90%	86%
92.3%	91%	90%	88%	88%	89%	89%	89%	91%	93%	97%	98%	95%	97%	98%	95%	97%	88%	92%	88%	92%
87.4%	90%	95%	90%	85%	91%	95%	90%	92%	86%	86%	88%	74%	89%	75%	82%	86%	90%	93%	86%	85%
91.2%	91%	88%	87%	89%	86%	97%	87%	94%	93%	93%	87%	94%	91%	92%	95%	96%	96%	90%	86%
83.8%	88%	82%	77%	79%	75%	62%	85%	97%	91%	84%	88%	81%	86%	81%	94%	91%	93%	94%	77%	71%
85.3%	85%	81%	81%	87%	76%	70%	79%	78%	82%	96%	86%	87%	87%	88%	90%	90%	84%	95%	87%	96%
89.0%	91%	91%	89%	92%	89%	93%	88%	80%	90%	89%	94%	89%	87%	89%	87%	91%	82%	79%	89%	95%	94%
83.3%	90%	90%	90%	90%	85%	88%	91%	85%	83%	78%	89%	91%	75%	75%	78%	81%	75%	61%	83%	88%
86.4%	90%	87%	93%	95%	89%	86%	78%	94%	92%	68%	84%	94%	80%	85%	88%	84%	76%	78%	95%	88%	91%
84.0%	79%	85%	87%	93%	93%	93%	80%	81%	78%	88%	89%	78%	84%	94%	86%	86%	70%	80%	87%	70%
88.2%	92%	88%	87%	93%	94%	76%	87%	94%	91%	96%	87%	80%	95%	70%	91%	93%	81%	84%	93%	92%
86.1%	92%	90%	87%	86%	90%	88%	90%	85%	90%	89%	91%	82%	93%	86%	86%	89%	84%	81%	82%	60%
83.7%	91%	90%	95%	91%	88%	69%	81%	88%	87%	85%	81%	80%	88%	71%	88%	84%	86%	67%	87%	77%
65.8%	70%	73%	72%	73%	64%	73%	69%	49%	67%	61%	60%	74%	60%	56%	70%	63%	61%	69%	67%	64%
73.8%	83%	74%	84%	90%	66%	62%	63%	83%	72%	70%	69%	72%	80%	60%	80%	83%	77%	66%	78%	65%
65.8%	67%	56%	73%	61%	61%	56%	67%	73%	74%	82%	61%	49%	71%	59%	77%	79%	61%	81%	58%	51%
87.0%	93%	95%	90%	92%	92%	78%	97%	83%	77%	94%	80%	78%	96%	79%	82%	99%	84%	90%	79%	81%	89%
88.8%	94%	94%	88%	91%	93%	80%	94%	87%	92%	90%	90%	86%	95%	90%	90%	93%	87%	72%	79%	91%
86.8%	90%	89%	85%	86%	85%	85%	89%	89%	88%	90%	87%	85%	89%	89%	94%	94%	82%	79%	78%	82%
82.9%	82%	77%	77%	82%	90%	91%	87%	93%	78%	89%	89%	71%	84%	77%	86%	78%	85%	76%	89%	80%	79%
86.2%	95%	92%	94%	91%	88%	83%	82%	85%	85%	96%	86%	73%	88%	88%	89%	92%	76%	76%	81%	83%
86.4%	86%	90%	88%	93%	91%	76%	92%	92%	91%	95%	92%	67%	85%	70%	84%	92%	87%	82%	88%	88%
76.4%	76%	79%	80%	80%	79%	73%	77%	76%	78%	81%	80%	73%	76%	80%	78%	76%	63%	69%	80%	73%
74.9%	87%	78%	79%	86%	77%	60%	68%	80%	77%	77%	65%	76%	78%	65%	85%	81%	64%	64%	76%
82.8%	89%	97%	79%	88%	87%	72%	82%	93%	91%	84%	79%	82%	82%	67%	95%	87%	52%	88%	75%	87%
76.9%	86%	92%	91%	94%	79%	71%	77%	71%	78%	71%	72%	68%	70%	69%	82%	83%	71%	72%	69%	72%
78.5%	82%	85%	83%	92%	82%	76%	68%	82%	81%	81%	83%	74%	82%	69%	85%	82%	64%	73%	81%	65%
84.1%	89%	85%	83%	86%	80%	88%	84%	80%	84%	84%	90%	83%	87%	87%	87%	90%	70%	77%	85%	84%
79.3%	77%	83%	77%	79%	90%	74%	60%	77%	90%	74%	74%	77%	77%	77%	87%	83%	81%	73%	83%	94%
66.5%	69%	64%	69%	67%	57%	72%	86%	70%	57%	72%	72%	69%	69%	69%	63%	64%	61%	73%	64%	43%
83.0%	92%	86%	86%	93%	89%	78%	80%	82%	83%	85%	78%	76%	80%	74%	87%	85%	87%	82%	77%	77%	85%
70.0%	87%	85%	79%	78%	42%	73%	60%	66%	61%	63%	63%	58%	68%	65%	70%	75%	81%	61%	92%	64%	78%
82.5%	85%	83%	92%	86%	66%	87%	89%	89%	83%	83%	85%	81%	88%	85%	72%	89%	86%	54%	82%	84%
86.3%	88%	87%	83%	85%	88%	94%	86%	77%	86%	83%	90%	86%	90%	88%	81%	87%	87%	87%	87%	86%
86.9%	91%	88%	97%	98%	84%	95%	93%	93%	91%	98%	87%	72%	94%	72%	93%	93%	69%	67%	83%	81%
85.1%	93%	90%	90%	88%	88%	75%	90%	92%	86%	91%	86%	84%	86%	79%	84%	90%	87%	71%	71%	81%
89.1%	98%	96%	99%	0%	88%	95%	81%	98%	88%	95%	95%	99%	99%	99%	98%	95%	96%	94%	96%	73%
86.7%	87%	93%	88%	86%	90%	84%	93%	88%	91%	87%	89%	81%	89%	84%	93%	92%	68%	77%	87%	87%
76.1%	75%	82%	74%	74%	78%	67%	82%	79%	76%	82%	73%	79%	78%	80%	79%	76%	70%	70%	75%	73%
73.4%	64%	89%	78%	64%	60%	80%	76%	62%	62%	68%	82%	77%	75%	79%	71%	78%	71%	88%	75%	69%

Model Similarity Dendrogram

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