DTeval

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Analysis: Gd3 Dtef Global Dialogues Gd3 Country%3Achile - Run 4a2dbde...

Global Dialogues GD3 - Chile

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

TAGS:

Instruction Following & Prompt Adherence

Reasoning

General Knowledge

Efficiency & Succinctness

Best Models (Coverage)

1.GPT 4.1 Mini
77.3%
2.Claude Sonnet 4
77.2%
3.Claude Haiku 4.5
77.2%
4.GPT 4.1
77.2%
5.GPT 5
77.1%

🔀 Least Similar Models

GPT OSS 20bvsGrok 4.1 Fast

75.8% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

90.6% 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	6th 76.9%	3rd 77.2%	2nd 77.2%	9th 76.7%	12th 75.9%	15th 74.8%	16th 74.7%	17th 74.4%	18th 74.0%	4th 77.2%	1st 77.3%	21st 70.0%	10th 76.3%	14th 74.9%	5th 77.1%	8th 76.7%	13th 75.1%	20th 70.6%	11th 76.1%	19th 71.4%	7th 76.8%
64.4%	61%	65%	71%	69%	63%	64%	67%	67%	74%	70%	62%	63%	63%	65%	67%	64%	56%	53%	61%	57%	71%
52.8%	51%	48%	50%	69%	41%	51%	43%	50%	38%	69%	53%	50%	53%	54%	72%	55%	61%	44%	56%	42%	59%
58.2%	55%	57%	60%	62%	55%	65%	57%	60%	53%	60%	65%	63%	53%	60%	63%	60%	55%	58%	53%	51%	57%
76.1%	79%	81%	75%	70%	87%	69%	77%	77%	82%	71%	91%	80%	82%	80%	63%	72%	66%	78%	82%	67%	70%
77.5%	77%	81%	80%	77%	80%	81%	73%	70%	77%	71%	88%	87%	75%	78%	78%	74%	81%	77%	82%	66%	74%
83.9%	79%	85%	75%	79%	81%	86%	86%	86%	86%	85%	88%	84%	88%	87%	75%	79%	87%	79%	91%	91%	84%
88.0%	92%	92%	94%	89%	88%	89%	88%	88%	83%	92%	89%	88%	87%	84%	93%	89%	83%	83%	81%	86%	89%
88.6%	90%	85%	89%	90%	97%	62%	96%	91%	95%	89%	90%	89%	92%	89%	91%	94%	93%	86%	83%	81%	89%
83.7%	80%	80%	91%	80%	76%	95%	97%	80%	90%	80%	80%	77%	80%	79%	75%	75%	89%	96%	90%	74%	93%
67.0%	71%	78%	62%	73%	76%	67%	72%	72%	71%	60%	75%	31%	74%	74%	58%	61%	71%	77%	78%	52%	55%
78.9%	85%	84%	92%	92%	69%	89%	83%	86%	79%	76%	84%	65%	83%	61%	87%	83%	72%	51%	71%	74%	90%
64.2%	72%	86%	58%	58%	75%	63%	64%	67%	68%	61%	83%	48%	69%	81%	63%	61%	58%	50%	78%	45%	41%
68.4%	74%	69%	74%	74%	73%	85%	54%	65%	51%	73%	77%	45%	66%	68%	75%	66%	66%	66%	79%	69%	68%
77.3%	81%	79%	79%	78%	71%	76%	86%	70%	77%	69%	73%	67%	77%	89%	81%	82%	82%	61%	84%	77%	85%
83.4%	85%	89%	92%	89%	85%	89%	73%	87%	81%	85%	84%	70%	87%	84%	79%	85%	82%	83%	85%	80%	77%
83.2%	81%	86%	87%	83%	83%	79%	80%	79%	83%	93%	84%	82%	83%	88%	91%	85%	79%	69%	81%	81%	90%
59.1%	61%	62%	62%	72%	65%	64%	60%	47%	63%	57%	52%	62%	47%	47%	66%	65%	51%	60%	62%	52%	65%
85.5%	91%	89%	88%	90%	94%	68%	78%	84%	86%	85%	91%	86%	88%	79%	86%	92%	92%	84%	80%	86%	78%
67.2%	63%	56%	61%	63%	79%	39%	69%	71%	60%	86%	55%	64%	64%	51%	85%	86%	73%	68%	43%	86%	89%
83.1%	84%	77%	80%	80%	81%	87%	86%	81%	84%	84%	87%	81%	87%	85%	81%	84%	87%	66%	92%	85%	87%
68.4%	66%	69%	75%	65%	69%	78%	64%	65%	64%	76%	68%	62%	69%	67%	67%	69%	73%	54%	75%	67%	75%
66.3%	67%	68%	72%	61%	70%	84%	62%	65%	50%	70%	64%	60%	63%	62%	68%	73%	68%	54%	78%	64%	70%
73.0%	73%	71%	69%	71%	71%	66%	81%	71%	78%	77%	69%	74%	82%	72%	72%	76%	68%	70%	76%	71%	75%
75.6%	80%	80%	74%	78%	79%	79%	68%	77%	76%	77%	81%	58%	74%	74%	80%	76%	75%	69%	79%	74%	80%
79.4%	80%	88%	81%	79%	81%	78%	83%	70%	71%	71%	90%	67%	75%	92%	72%	72%	78%	78%	85%	93%	83%
73.6%	68%	77%	74%	71%	71%	91%	68%	52%	67%	79%	80%	65%	75%	84%	77%	74%	80%	71%	76%	61%	84%
72.3%	77%	72%	76%	79%	73%	67%	70%	70%	73%	75%	71%	68%	74%	71%	77%	77%	70%	67%	71%	65%	76%
82.0%	78%	82%	89%	86%	74%	75%	79%	76%	78%	83%	87%	85%	88%	76%	82%	85%	87%	85%	87%	77%	84%
54.6%	61%	68%	62%	61%	52%	40%	58%	59%	39%	42%	62%	40%	55%	63%	61%	61%	57%	67%	63%	45%	31%
69.5%	76%	72%	77%	76%	71%	67%	66%	75%	71%	73%	70%	67%	66%	62%	72%	72%	69%	56%	67%	66%	68%
69.5%	76%	73%	78%	80%	78%	72%	59%	58%	61%	75%	70%	56%	68%	68%	80%	75%	65%	52%	70%	72%	73%
76.6%	78%	78%	75%	72%	81%	69%	78%	74%	83%	75%	69%	71%	83%	74%	71%	72%	81%	76%	83%	85%	81%
62.5%	62%	62%	65%	67%	59%	70%	62%	65%	57%	65%	70%	68%	57%	65%	61%	65%	59%	63%	57%	51%	62%
80.6%	87%	75%	79%	86%	78%	66%	80%	87%	91%	84%	78%	79%	79%	67%	86%	86%	85%	87%	74%	73%	85%
83.2%	92%	80%	91%	92%	70%	74%	76%	85%	88%	91%	91%	73%	92%	78%	78%	80%	84%	88%	90%	81%	73%
72.4%	71%	82%	74%	65%	54%	84%	71%	75%	67%	67%	68%	81%	75%	82%	64%	72%	78%	64%	81%	66%	80%
79.3%	88%	87%	79%	81%	86%	79%	68%	68%	70%	88%	89%	62%	82%	82%	93%	78%	74%	80%	80%	63%	89%
79.0%	87%	77%	81%	76%	88%	83%	84%	90%	82%	86%	82%	62%	81%	66%	83%	96%	66%	69%	65%	66%	88%
82.1%	86%	85%	89%	88%	76%	91%	80%	81%	84%	91%	82%	74%	83%	85%	91%	86%	85%	57%	73%	77%	80%
94.8%	96%	96%	93%	91%	99%	88%	96%	93%	99%	93%	88%	90%	99%	93%	95%	93%	99%	95%	99%	97%	99%
82.2%	84%	78%	86%	85%	88%	78%	86%	88%	83%	88%	88%	80%	82%	81%	87%	87%	81%	72%	65%	81%	78%
86.3%	88%	93%	85%	80%	87%	81%	92%	84%	89%	85%	81%	94%	92%	86%	92%	82%	84%	93%	81%	81%	82%
84.5%	75%	76%	75%	71%	91%	89%	94%	94%	82%	91%	77%	90%	87%	86%		80%	78%	79%	85%	93%	97%

Model Similarity Dendrogram

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