DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 AgeGroup%3A26 35 C5 - Run 649c626...

Global Dialogues GD3 - 26-35 (5 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

Reasoning

Efficiency & Succinctness

Factual Accuracy & Hallucination

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.3%
2.GPT 5.1
84.7%
3.Claude Sonnet 4.5
84.4%
4.Gemini 2.5 Flash
84.3%
5.GPT 4.1 Mini
83.9%

🔀 Least Similar Models

Claude Haiku 4.5vsQwen3 32b

71.5% similarity

👯 Most Similar Models

GPT 4.1 MinivsGPT 4o Mini

88.4% 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
Score	1st 85.3%	6th 83.7%	9th 82.6%	3rd 84.4%	4th 84.3%	17th 78.3%	10th 82.4%	16th 79.8%	12th 81.9%	11th 82.0%	5th 83.9%	14th 80.2%	7th 83.3%	15th 80.0%	8th 83.0%	2nd 84.7%	18th 78.3%	19th 77.1%	13th 80.4%	20th 76.7%	21st 70.5%
86.8%	93%	86%	82%	85%	92%	74%	85%	82%	82%	85%	85%	91%	96%	87%	90%	92%	94%	78%	89%	91%	83%
87.0%	82%	84%	90%	92%	78%	87%	91%	80%	79%	88%	87%	93%	91%	93%	93%	92%	91%	79%	90%	81%	87%
74.7%	73%	70%	82%	82%	80%	78%	73%	78%	67%	84%	75%	75%	80%	73%	74%	78%	78%	78%	70%	48%	72%
86.6%	89%	85%	86%	88%	87%	81%	88%	89%	88%	89%	86%	87%	88%	80%	89%	92%	83%	84%	84%	90%	85%
89.8%	98%	90%	83%	88%	96%	89%	83%	89%	87%	96%	98%	94%	88%	91%	94%	85%	88%	93%	81%	96%	79%
85.5%	86%	95%	89%	94%	95%	92%	90%	93%	86%	87%	85%	83%	90%	75%	79%	88%	84%	81%	87%	76%	60%
82.5%	85%	79%	81%	85%	92%	74%	89%	86%	95%	75%	91%	90%	79%	79%	80%	87%	72%	61%	90%	91%	72%
84.1%	87%	82%	77%	85%	77%	60%	79%	95%	94%	88%	90%	84%	85%	83%	92%	84%	83%	86%	82%	90%	83%
84.9%	86%	81%	81%	81%	87%	67%	78%	90%	77%	88%	92%	92%	88%	90%	81%	97%	98%	74%	88%	74%	93%
86.8%	93%	98%	84%	87%	91%	96%	86%	86%	78%	85%	88%	90%	87%	89%	89%	89%	71%	71%	91%	82%	92%
82.5%	91%	89%	88%	90%	77%	89%	89%	82%	83%	76%	89%	86%	67%	78%	84%	89%	74%	70%	88%	66%	88%
88.4%	90%	89%	87%	94%	90%	90%	78%	93%	91%	93%	87%	94%	91%	87%	93%	87%	82%	79%	88%	82%	91%
85.9%	87%	95%	83%	87%	91%	90%	90%	81%	91%	88%	92%	71%	92%	92%	96%	96%	85%	79%	86%	89%	42%
79.4%	83%	85%	83%	84%	86%	78%	91%	73%	79%	78%	86%	69%	78%	88%	81%	80%	59%	83%	89%	71%	63%
85.7%	85%	91%	87%	86%	80%	84%	90%	83%	90%	82%	91%	82%	87%	89%	89%	86%	88%	81%	85%	79%	85%
81.3%	97%	86%	88%	88%	89%	69%	81%	69%	73%	84%	81%	75%	91%	71%	88%	86%	83%	76%	76%	87%	69%
65.1%	72%	73%	76%	73%	61%	57%	69%	49%	58%	61%	60%	74%	55%	56%	67%	70%	57%	64%	76%	65%	75%
70.6%	83%	69%	72%	81%	70%	54%	59%	67%	62%	67%	69%	60%	77%	62%	77%	77%	76%	79%	71%	80%	70%
59.4%	65%	48%	76%	61%	69%	53%	64%	50%	56%	61%	60%	46%	62%	49%	70%	87%	57%	56%	46%	63%	49%
85.4%	87%	71%	81%	84%	91%	84%	85%	84%	96%	81%	96%	92%	88%	91%	80%	83%	85%	85%	89%	91%	70%
85.5%	89%	94%	88%	88%	91%	79%	94%	77%	92%	88%	90%	87%	94%	88%	84%	89%	77%	70%	81%	87%	68%
86.1%	89%	92%	85%	85%	92%	85%	90%	83%	89%	88%	91%	79%	92%	89%	89%	97%	87%	87%	74%	87%	58%
81.3%	76%	77%	76%	75%	88%	89%	88%	87%	80%	80%	89%	79%	80%	92%	78%	74%	84%	80%	82%	76%	77%
83.9%	92%	91%	89%	92%	98%	93%	82%	89%	91%	94%	96%	74%	89%	86%	87%	92%	74%	80%	80%	54%	39%
79.0%	87%	85%	83%	84%	86%	79%	84%	72%	77%	77%	91%	82%	76%	91%	70%	84%	62%	77%	87%	63%	61%
75.5%	81%	75%	80%	80%	80%	72%	75%	64%	78%	80%	78%	84%	77%	77%	72%	78%	65%	68%	81%		65%
71.6%	90%	73%	68%	78%	77%	59%	68%	65%	71%	73%	60%	71%	80%	59%	78%	81%	78%	76%	68%	66%	64%
82.0%	86%	90%	79%	85%	91%	62%	80%	93%	98%	83%	82%	79%	85%	66%	97%	85%	77%	79%	74%	79%	72%
77.2%	91%	92%	88%	87%	94%	71%	85%	71%	70%	72%	72%	70%	69%	72%	79%	77%	71%	69%	73%	74%	74%
74.9%	79%	85%	77%	89%	91%	72%	66%	84%	82%	75%	80%	74%	80%	74%	74%	76%	62%	44%	79%	64%	65%
83.3%	89%	83%	84%	84%	91%	83%	84%	78%	85%	89%	88%	79%	84%	85%	90%	89%	84%	77%	85%		54%
75.0%	77%	83%	71%	70%	72%	74%	80%	74%	86%	69%	77%	77%	73%	79%	75%	74%	75%	75%	83%	80%	52%
71.1%	71%	64%	75%	76%	74%	72%	67%	72%	61%	77%	69%	69%	73%	67%	66%	72%	72%	72%	64%	95%	66%
83.9%	87%	84%	84%	92%	94%	72%	87%	87%	92%	87%	92%	84%	86%	72%	93%	90%	91%	79%	68%	71%	70%
74.4%	85%	86%	71%	80%	48%	89%	68%	79%	75%	69%	72%	76%	88%	88%	63%	60%	70%	76%	75%	69%	76%
84.8%	87%	91%	93%	87%	70%	90%	95%	87%	90%	91%	89%	85%	88%	78%	75%	85%	88%	82%	79%	80%	70%
85.2%	88%	87%	85%	85%	89%	88%	87%	70%	89%	89%	83%	80%	91%	88%	88%	86%	88%	88%	90%	93%	58%
84.8%	95%	92%	94%	98%	92%	98%	90%	92%	91%	94%	92%	72%	94%	72%	96%	94%	71%	81%	83%	45%	45%
83.0%	92%	87%	92%	93%	84%	76%	89%	88%	82%	89%	81%	83%	85%	78%	86%	89%	82%	81%	77%	68%	62%
94.3%	98%	96%	92%	92%	94%	95%	99%	96%	93%	90%	99%	99%	94%	99%	99%	96%	96%	96%	96%	73%	88%
85.3%	85%	88%	89%	89%	95%	69%	91%	85%	89%	85%	94%	79%	87%	76%	91%	91%	72%	86%	75%	85%	91%
78.2%	79%	82%	74%	77%	81%	75%	81%	83%	81%	82%	76%	78%	81%	84%	78%	81%	75%	66%	82%	70%	77%
74.0%	61%	76%	78%	67%	75%	79%	77%	55%	68%	67%	79%	79%	76%	79%	74%	75%	77%	89%	76%	74%	73%

Model Similarity Dendrogram

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