DTeval

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Analysis: Gd3 C5 Dtef Global Dialogues Gd3 Country%3Amorocco C5 - Run 0802dcf...

Global Dialogues GD3 - Morocco (5 context Qs)

DTEF: Predict response distributions for Morocco. 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 3.7 Sonnet
70.9%
2.Claude Haiku 4.5
70.7%
3.Claude Sonnet 4
70.7%
4.GPT 4.1 Mini
70.3%
5.Claude Sonnet 4.5
69.7%

🔀 Least Similar Models

Claude Haiku 4.5vsGPT OSS 20b

72.3% similarity

👯 Most Similar Models

GPT 4ovsQwen3 30b A3B Instruct 2507

91.3% 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 4.1 Fast
Score	1st 70.9%	2nd 70.7%	3rd 70.7%	5th 69.7%	14th 66.7%	16th 66.5%	11th 67.2%	15th 66.6%	13th 66.7%	8th 68.3%	4th 70.3%	18th 64.3%	6th 68.9%	12th 66.7%	10th 67.4%	7th 68.8%	19th 64.0%	17th 65.4%	9th 67.7%	20th 63.3%	21st 59.4%
72.8%	81%	78%	78%	81%	63%	71%	73%	66%	73%	73%	66%	82%	81%	75%	64%	79%	73%	83%	70%	59%	59%
64.9%	66%	70%	65%	67%	48%	67%	69%	59%	73%	63%	73%	68%	75%	68%	50%	61%	55%	60%	74%	74%	57%
68.2%	82%	70%	75%	75%	59%	72%	62%	75%	59%	75%	75%	75%	69%	82%	69%	71%	63%	63%	62%	38%	62%
85.7%	100%	78%	100%	78%	89%	89%	100%	89%	100%	80%	80%	80%	80%	78%	80%	100%	78%	81%	80%	80%	80%
80.9%	75%	88%	75%	81%	83%	68%	75%	80%	75%	90%	90%	61%	95%	87%	81%	95%	90%	95%	75%	75%	64%
63.9%	58%	66%	62%	62%	68%	68%	57%	79%	64%	63%	68%	62%	71%	57%	62%	62%	58%	70%	64%	53%	67%
63.2%	68%	61%	68%	69%	77%	61%	63%	68%	69%	62%	61%	54%	66%	49%	68%	66%	72%	66%	61%	47%	52%
70.0%	73%	67%	74%	73%	71%	62%	66%	77%	73%	66%	71%	71%	71%	77%	66%	70%	73%	77%	64%	71%	58%
82.7%	82%	84%	78%	81%	87%	60%	74%	95%	74%	96%	95%	95%	95%	78%	82%	89%	83%	76%	81%	76%	76%
70.0%	78%	78%	69%	71%	64%	78%	69%	72%	64%	71%	76%	80%	71%	71%	67%	71%	58%	56%	71%	68%	68%
71.4%	82%	84%	82%	74%	52%	86%	74%	66%	68%	61%	82%	72%	51%	74%	68%	61%	61%	51%	93%	79%	79%
63.4%	65%	65%	73%	65%	55%	65%	62%	71%	66%	60%	65%	55%	65%	55%	68%	70%	64%	60%	59%	68%	55%
59.3%	49%	69%	56%	63%	64%	77%	49%	48%	57%	63%	68%	38%	68%	71%	54%	57%	66%	63%	77%	25%	63%
54.5%	56%	58%	53%	56%	59%	54%	61%	49%	60%	55%	55%	64%	58%	60%	55%	53%	51%	50%	58%	40%	40%
73.6%	74%	74%	68%	66%	80%	81%	63%	62%	66%	81%	82%	63%	75%	74%	80%	82%	80%	65%	77%	66%	87%
63.5%	76%	68%	81%	63%	63%	44%	61%	67%	64%	64%	61%	60%	68%	64%	64%	75%	68%	44%	61%	71%	46%
56.9%	75%	74%	80%	62%	54%	52%	54%	50%	54%	60%	54%	43%	50%	54%	62%	54%	48%	50%	54%	63%	48%
65.8%	82%	74%	74%	80%	69%	44%	60%	66%	60%	67%	60%	62%	67%	63%	73%	75%	62%	76%	62%	58%	48%
46.8%	61%	42%	61%	47%	66%	36%	51%	48%	47%	44%	50%	16%	42%	31%	58%	62%	32%		30%	61%	51%
71.7%	77%	68%	62%	70%	70%	65%	77%	75%	77%	62%	77%	65%	78%	62%	71%	72%	73%	89%	78%	72%	65%
64.4%	66%	62%	66%	65%	66%	69%	70%	58%	70%	65%	70%	62%	65%	69%	66%	65%	58%	54%	73%	70%	43%
73.7%	78%	84%	84%	84%	69%	70%	78%	61%	73%	87%	70%	73%	75%	77%	68%	80%	79%	66%	70%	69%	52%
65.8%	63%	63%	71%	63%	80%	71%	68%	69%	71%	55%	71%	60%	71%	84%	63%	63%	64%	49%	67%	66%	49%
59.8%	58%	68%	58%	58%	68%	65%	58%	53%	56%	66%	66%	56%	57%	57%	71%	73%	46%	49%	80%	61%	32%
65.0%	62%	80%	73%	58%	72%	71%	74%	60%	61%	66%	73%	80%	73%	73%	61%	63%	21%	69%	73%	53%	48%
57.2%	52%	65%	55%	57%	52%	71%	53%	46%	47%	55%	67%	63%	55%	67%	54%	56%	72%	67%	60%	50%	38%
62.3%	50%	64%	64%	59%	71%	81%	56%	53%	56%	64%	84%	69%	59%	78%	59%	54%	53%	55%	69%	65%	45%
59.9%	64%	61%	64%	64%	70%	37%	68%	67%	64%	72%	64%	50%	61%	37%	66%	71%	68%	59%	50%	50%	50%
64.0%	80%	70%	71%	80%	63%	60%	71%	57%	58%	56%	56%	49%	63%	69%	71%	64%	56%	57%	61%	67%	66%
63.6%	75%	71%	68%	69%	62%	50%	55%	72%	70%	58%	70%	64%	64%	41%	67%	64%	70%	73%	64%	66%	43%
61.9%	60%	65%	60%	60%	65%	65%	59%	55%	63%	55%	61%	63%	65%	64%	63%	54%	67%	57%	71%	59%	68%
57.3%	47%	59%	54%	54%	69%	57%	66%	54%	69%	54%	54%	54%	60%	47%	60%	60%	55%	65%	66%	60%	40%
81.2%	86%	80%	86%	86%	69%	82%	73%	86%	69%	86%	86%	86%	79%	93%	73%	80%	85%	79%	71%	98%	73%
60.6%	69%	63%	66%	62%	62%	63%	68%	67%	68%	58%	64%	51%	64%	46%	66%	68%	44%	67%	60%	44%	52%
65.3%	71%	73%	74%	78%	30%	69%	73%	65%	74%	74%	73%	66%	71%	71%	55%	45%	67%	66%	51%	71%	54%
59.1%	61%	66%	61%	61%	35%	61%	58%	67%	56%	62%	64%	61%	61%	58%	44%	52%	53%	55%	62%	75%	69%
71.6%	74%	72%	69%	69%	71%	89%	69%	65%	72%	77%	69%	60%	69%	69%	76%	73%	71%	62%	74%	72%	81%
76.1%	79%	77%	81%	87%	87%	87%	87%	81%	87%	81%	75%	69%	91%	69%	81%	75%	63%	58%	75%	54%	54%
62.0%	70%	65%	59%	70%	71%	63%	67%	63%	62%	68%	59%	62%	64%	54%	67%	68%	40%	52%	59%	62%	56%
82.5%	92%	80%	86%	86%	69%	82%	73%	86%	69%	86%	86%	86%	79%	93%	86%	80%	85%	79%	79%	73%	98%
78.9%	81%	81%	83%	89%	67%	70%	82%	84%	78%	89%	82%	59%	77%	67%	89%	79%	89%	83%	70%	69%	89%
74.8%	78%	72%	73%	73%	79%	65%	79%	80%	76%	80%	71%	85%	73%	85%	71%	73%	70%	70%	78%	66%	73%
70.7%	72%	85%	79%	79%	80%	62%	65%	52%	58%	65%	78%	72%	72%	72%	79%	72%	66%	82%	79%	58%	58%

Model Similarity Dendrogram

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