DTeval

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Analysis: Gd3 Ctx Dtef Global Dialogues Gd3 Country%3Acanada Ctx - Run 8d78421...

Global Dialogues GD3 - Canada (with context)

DTEF: Predict response distributions for Canada. 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.Claude Sonnet 4.5
79.0%
2.Claude Sonnet 4
78.7%
3.Claude 3.7 Sonnet
78.3%
4.GPT 5
77.9%
5.Mistral Medium 3
77.3%

🔀 Least Similar Models

Claude Sonnet 4.5vsGemma 3 12b It

68.2% similarity

👯 Most Similar Models

GPT 4.1 MinivsGPT 4o

90.8% 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	3rd 78.3%	16th 74.5%	2nd 78.7%	1st 79.0%	11th 75.3%	21st 69.5%	9th 75.5%	8th 75.6%	5th 77.3%	7th 76.4%	14th 75.0%	20th 71.2%	15th 74.7%	13th 75.2%	4th 77.9%	6th 77.1%	12th 75.3%	18th 73.7%	19th 73.0%	10th 75.4%	17th 74.5%
76.2%	85%	74%	85%	85%	77%	82%	82%	69%	80%	72%	77%	70%	74%	69%	77%	78%	69%	74%	82%	72%	67%
79.9%	78%	86%	82%	86%	85%	84%	85%	84%	78%	82%	83%	82%	83%	71%	80%	80%	68%	80%	84%	66%	70%
67.8%	67%	67%	67%	70%	66%	66%	67%	56%	66%	67%	66%	66%	66%	100%	67%	67%	67%	67%	66%	66%	67%
74.5%	76%	66%	79%	71%	82%	68%	77%	77%	76%	76%	73%	74%	74%	69%	81%	83%	67%	78%	69%
90.2%	91%	94%	91%	91%	94%	94%	89%	89%	92%	82%	94%	94%	94%	94%	79%	74%	90%	94%	94%	94%	86%
90.2%	95%	95%	91%	92%	89%	83%	92%	88%	95%	90%	87%	90%	86%	83%	91%	90%	91%	94%	90%	91%	91%
71.3%	77%	67%	70%	73%	76%	64%	71%	77%	74%	69%	66%	70%	70%	62%	78%	81%	78%	71%	66%	63%	75%
62.0%	63%	57%	67%	64%	55%	47%	55%	72%	64%	66%	64%	57%	64%	55%	66%	69%	69%	63%	59%	58%	69%
74.0%	66%	64%	75%	72%	84%	72%	73%	83%	81%	77%	74%	64%	77%	72%	74%	77%	75%	76%	66%		77%
77.0%	74%	74%	84%	89%	76%	74%	68%	68%	71%	80%	69%	72%	80%	74%	74%	91%	78%	87%	74%		82%
70.6%	77%	71%	63%	75%	74%	71%	71%	73%	66%	67%	75%	72%	71%	68%	77%	72%	69%	53%	73%	68%	77%
74.2%	86%	78%	77%	79%	78%	69%	74%	79%	77%	67%	75%	78%	74%	78%	78%	75%	73%	62%	79%	63%	60%
84.6%	86%	85%	79%	79%	96%	71%	79%	78%	79%	86%	96%	96%	75%	96%	78%	75%	77%	77%	96%	96%	96%
77.7%	79%	70%	80%	84%	83%	73%	75%	79%	79%	81%	83%	62%	80%	79%	78%	75%	76%	78%	83%	79%	75%
67.8%	68%	66%	71%	67%	63%	60%	65%	70%	64%	68%	65%	74%	65%	65%	68%	66%	73%	71%	68%	74%	73%
76.0%	84%	74%	83%	78%	79%	66%	72%	74%	83%	78%	72%	38%	85%	84%	76%	71%	83%	75%	79%	80%	81%
83.6%	81%	87%	84%	80%	84%	83%	88%	58%	80%	85%	82%	84%	70%	76%	90%	94%	89%	93%	81%	93%	93%
67.9%	75%	72%	69%	73%	58%	65%	62%	77%	74%	64%	69%	56%	58%	69%	72%	66%	78%	74%	58%	71%	66%
77.7%	89%	67%	87%	77%	65%	65%	80%	90%	88%	92%	67%	47%	82%	79%	83%	90%	83%	80%	59%	84%	78%
72.6%	77%	71%	84%	81%	81%	64%	84%	77%	70%	78%	58%	58%	70%	81%	67%	76%	71%	61%	78%	68%	70%
76.3%	80%	76%	87%	87%	78%	71%	88%	71%	78%	78%	81%	76%	78%	75%	79%	79%	72%	68%	67%		57%
80.3%	79%	82%	78%	76%	80%	78%	79%	82%	80%	83%	82%	76%	79%	78%	82%	83%	80%	80%	85%	82%	82%
75.9%	79%	78%	80%	79%	41%	74%	86%	72%	84%	72%	86%	77%	73%	76%	74%	80%	73%	79%	75%	79%	76%
83.9%	83%	81%	85%	82%	85%	79%	79%	83%	83%	85%	83%	96%	96%	96%	95%	83%	79%	71%	83%	96%	58%
86.1%	86%	94%	87%	86%	89%	83%	91%	87%	92%	90%	92%	66%	84%	79%	91%	90%	94%	88%	86%	83%	71%
69.2%	70%	80%	75%	73%	74%	59%	73%	58%	67%	73%	81%	75%	65%	59%	70%	70%	53%	74%	72%	75%	57%
69.8%	78%	54%	76%	70%	67%	63%	72%	78%	79%	70%	58%	59%	70%	79%	79%	67%	77%	60%	71%
55.8%	63%	60%	66%	63%	76%	37%	53%	65%	58%	55%	51%	47%	56%	47%	62%	60%	50%	45%	40%	60%	58%
75.5%	80%	84%	85%	85%	77%	77%	76%	71%	77%	80%	70%	70%	70%	64%	73%	81%	74%	74%	70%	70%	77%
74.6%	94%	73%	75%	85%	89%	54%	73%	85%	77%	75%	66%	82%	76%	63%	79%	72%	74%	63%	65%	67%	79%
83.3%	96%	82%	82%	91%	84%	72%	84%	83%	84%	82%	86%	84%	84%	91%	90%	81%	75%	71%	85%	80%	83%
55.6%	43%	43%	60%	60%	75%	43%	75%	69%	75%	55%	60%	43%	43%	43%	55%	55%	55%	43%	43%	75%	55%
67.4%	67%	67%	67%	70%	66%	66%	67%	56%	66%	67%	66%	66%	66%	100%	67%	67%	67%	59%	66%	66%	67%
74.0%	91%	70%	74%	88%	75%	66%	67%	77%	85%	84%	70%	57%	69%	58%		78%	77%	94%	58%	68%	75%
78.5%	89%	79%	83%	92%	57%	60%	57%	72%	72%	68%	83%	92%	89%	90%	78%	82%	78%	88%	87%	71%	82%
66.2%	74%	76%	62%	59%	55%	61%	69%	72%	72%	62%	56%	71%	70%	69%	68%	66%	67%	65%	57%	67%	72%
83.3%	81%	82%	83%	83%	84%	91%	87%	81%	83%	83%	84%	84%	84%	81%	81%	82%	87%	83%	86%	84%	76%
89.8%	86%	91%	91%	83%	85%	97%	91%	88%	86%	91%	84%	94%	94%	94%	94%	88%	92%	86%	94%	86%	91%
73.7%	82%	75%	80%	82%	68%	73%	75%	76%	73%	80%	79%	49%	76%	72%	80%	76%	65%	80%	66%	72%	69%
79.3%	66%	66%	99%	99%	66%	66%	75%	96%	93%	89%	75%	66%	66%	66%	89%	89%	89%	66%	66%	89%	89%
79.5%	85%	72%	87%	86%	86%	60%	80%	82%	83%	85%	84%	69%	87%	69%	86%	83%	87%	73%	56%	85%	85%
58.2%	60%	60%	60%	59%	60%	52%	62%	59%	54%	59%	60%	71%	53%	63%	65%	61%	58%	59%	62%	38%	48%
88.4%	80%	94%	94%	92%	78%	87%	80%	70%	84%	94%	91%	86%	86%	96%	99%	91%	91%	91%	94%	86%	93%

Model Similarity Dendrogram

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