DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 Country%3Aisrael - Run 33664da...

Global Dialogues GD3 - Israel

DTEF: Predict response distributions for Israel. 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 Sonnet 4.5
79.5%
2.Grok 4.1 Fast
79.0%
3.GPT 4.1
78.6%
4.Claude Haiku 4.5
78.4%
5.Claude Sonnet 4
78.3%

🔀 Least Similar Models

Claude 3.7 SonnetvsGPT OSS 20b

76.1% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

91.4% 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 4.1 Fast
Score	5th 78.3%	4th 78.4%	6th 78.3%	1st 79.5%	12th 76.5%	16th 74.8%	9th 77.9%	8th 78.0%	18th 74.4%	3rd 78.6%	13th 76.0%	21st 70.9%	11th 76.7%	15th 74.9%	7th 78.1%	10th 77.4%	14th 75.7%	20th 71.8%	19th 72.8%	17th 74.4%	2nd 79.0%
78.2%	71%	83%	80%	83%	76%	65%	91%	90%	83%	81%	76%	76%	85%	76%	82%	79%	72%	71%	70%	75%	78%
74.0%	77%	74%	78%	79%	75%	74%	75%	75%	56%	78%	75%	71%	75%	77%	75%	75%	76%	70%	76%	73%	71%
64.3%	58%	65%	71%	68%	58%	71%	64%	62%	60%	68%	68%	66%	58%	68%	65%	68%	65%	65%	60%	58%	65%
78.0%	80%	84%	82%	83%	76%	71%	82%	73%	71%	77%	78%	68%	84%	75%	71%	72%	83%	83%	79%	84%	82%
88.9%	94%	83%	93%	95%	89%	97%	96%	95%	91%	90%	83%	82%	82%	81%	92%	92%	81%	92%	83%	80%	96%
83.8%	81%	84%	78%	83%	87%	80%	86%	90%	90%	86%	79%	84%	85%	86%	78%	78%	93%	89%	79%	83%	80%
79.8%	77%	73%	77%	84%	78%	69%	77%	81%	80%	84%	77%	76%	84%	72%	88%	83%	86%	86%	73%	87%	84%
77.1%	80%	78%	76%	77%	77%	70%	79%	84%	80%	81%	68%	78%	81%	80%	81%	83%	78%	70%	65%	81%	73%
70.2%	67%	67%	75%	69%	77%	80%	79%	76%	70%	68%	67%	66%	68%	68%	58%	64%	72%	75%	67%	67%	74%
70.7%	78%	91%	70%	65%	65%	75%	71%	61%	65%	64%	72%	57%	71%	72%	67%	64%	72%	82%	79%	69%	75%
67.4%	68%	68%	82%	82%	78%	74%	66%	76%	60%	70%	67%	49%	64%	60%	80%	71%	38%	37%	69%	72%	85%
74.9%	81%	86%	69%	83%	76%	73%	65%	68%	67%	68%	81%	65%	78%	78%	78%	76%	91%	62%	77%	64%	86%
72.0%	76%	82%	81%	80%	77%	73%	65%	62%	64%	73%	80%	45%	66%	66%	80%	71%	72%	56%	80%	76%	86%
73.9%	75%	74%	82%	81%	82%	78%	67%	82%	75%	77%	78%	80%	74%	79%	67%	79%	70%	57%	63%	65%	67%
80.6%	85%	84%	85%	84%	74%	77%	84%	75%	81%	84%	83%	69%	80%	80%	80%	82%	80%	85%	79%		81%
75.8%	73%	76%	78%	79%	80%	68%	80%	78%	76%	80%	77%	76%	76%	76%	78%	76%	75%	75%	68%	70%	76%
82.8%	83%	91%	85%	91%	84%	86%	82%	69%	82%	82%	85%	85%	75%	84%	89%	91%	79%	84%	71%	74%	86%
71.7%	74%	73%	76%	83%	73%	53%	70%	77%	69%	73%	71%	72%	72%	63%	73%	71%	75%	73%	64%	72%	79%
58.0%	61%	42%	52%	57%	58%	37%	69%	52%	56%	70%	53%	53%	58%	54%	70%	71%	52%	65%	47%	71%	69%
87.2%	90%	87%	87%	88%	82%	94%	89%	82%	88%	86%	94%	94%	87%	88%	77%	89%	83%	83%	89%	88%	86%
82.9%	87%	91%	88%	89%	85%	90%	83%	82%	80%	90%	85%	75%	86%	92%	81%	84%	79%	54%	82%	69%	89%
74.9%	74%	79%	81%	84%	73%	78%	76%	69%	70%	81%	76%	75%	71%	73%	78%	77%	77%	59%	72%	71%	79%
83.2%	84%	76%	83%	75%	87%	88%	93%	89%	90%	80%	86%	74%	89%	79%	78%	90%	87%	84%	79%	80%	76%
68.4%	74%	80%	72%	71%	68%	64%	62%	73%	62%	72%	64%	42%	58%	66%	80%	74%	69%	53%	77%	73%	83%
79.2%	80%	79%	83%	83%	81%	86%	82%	82%	81%	77%	79%	80%	84%	76%	71%	78%	83%	66%	74%	79%	80%
71.5%	69%	69%	73%	74%	75%	82%	73%	59%	62%	79%	79%	74%	65%	84%	79%	64%	77%	61%	72%	64%	68%
74.2%	76%	73%	77%	76%	77%	54%	74%	90%	74%	78%	61%	74%	78%	69%	82%	78%	64%	79%	66%	81%	78%
73.1%	76%	76%	74%	74%	70%	69%	76%	85%	69%	78%	76%	64%	73%	75%	71%	76%	71%	66%	64%	79%	74%
68.0%	75%	86%	72%	76%	69%	57%	75%	77%	54%	58%	76%	40%	70%	65%	69%	76%	69%	62%	71%	61%	71%
75.0%	75%	78%	74%	79%	90%	74%	68%	73%	76%	77%	85%	65%	67%	65%	78%	77%	78%	78%	72%	72%	74%
74.4%	84%	81%	77%	81%	68%	77%	68%	69%	68%	78%	71%	62%	75%	77%	81%	80%	76%	59%	76%	76%	78%
94.6%	97%	94%	88%	91%	98%	88%	95%	97%	100%	91%	91%	93%	98%	91%	100%	92%	94%	94%	100%	98%	97%
69.4%	67%	70%	76%	73%	63%	76%	69%	69%	64%	73%	73%	71%	63%	73%	70%	72%	70%	71%	65%	63%	67%
81.3%	87%	78%	78%	86%	84%	72%	82%	91%	84%	89%	74%	76%	80%	73%	87%	83%	88%	86%	67%	78%	85%
79.1%	82%	90%	84%	87%	70%	74%	67%	79%	79%	78%	85%	81%	86%	74%	77%	73%	86%	78%	83%	73%	75%
77.1%	83%	83%	88%	86%	59%	82%	87%	88%	70%	86%	78%	76%	76%	77%	84%	81%	72%	49%	65%	71%	78%
67.8%	73%	72%	73%	68%	65%	69%	67%	70%	64%	70%	68%	59%	70%	66%	71%	69%	67%	63%	64%	66%	70%
81.2%	95%	84%	88%	84%	86%	88%	88%	86%	82%	91%	67%	64%	85%	73%	92%	81%	65%	78%	73%	65%	90%
74.0%	79%	75%	79%	76%	83%	79%	84%	83%	75%	80%	70%	77%	77%	76%	72%	75%	66%	64%	65%	56%	62%
94.6%	97%	94%	88%	91%	98%	88%	95%	97%	100%	91%	91%	93%	98%	91%	97%	92%	94%	94%	100%	100%	98%
71.1%	70%	67%	72%	72%	64%	62%	81%	69%	79%	81%	73%	68%	75%	69%	78%	72%	70%	71%	48%	72%	80%
72.9%	76%	74%	64%	70%	73%	64%	73%	78%	67%	72%	76%	78%	79%	79%	64%	73%	77%	78%	64%	78%	73%
83.6%	77%	77%	77%	77%	80%	89%	94%	90%	85%	91%	74%	74%	90%	74%	89%	77%	83%	80%	92%	92%	93%

Model Similarity Dendrogram

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