DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Amorocco C10 - Run 2658ab0...

Global Dialogues GD4 - Morocco (10 context Qs)

DTEF: Predict response distributions for Morocco. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Social interaction

AI Safety & Robustness

Best Models (Coverage)

1.Claude Haiku 4.5
66.5%
2.GPT 4o
66.3%
3.Llama 4 Maverick
66.1%
4.Claude 3.7 Sonnet
66.1%
5.Mistral Medium 3
66.0%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

71.1% similarity

👯 Most Similar Models

Mistral Medium 3vsGPT 4o

94.7% 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

	Prompts vs. Models	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		4th 66.1%	1st 66.5%	8th 65.7%	7th 65.7%	21st 57.9%	16th 63.6%	3rd 66.1%	9th 65.5%	5th 66.0%	10th 65.3%	13th 64.8%	17th 63.1%	2nd 66.3%	6th 65.8%	11th 65.2%	14th 64.6%	18th 62.5%	20th 59.8%	12th 65.0%	15th 63.7%	19th 62.4%
61.1%		64%	66%	64%	76%	76%	35%	44%	66%	55%	60%	48%	55%	66%	48%	64%	66%	90%	63%	53%	62%	63%
61.7%		69%	58%	62%	62%	63%	44%	62%	53%	73%	81%	66%	62%	73%	62%	72%	69%	69%	39%	59%	48%	49%
79.0%		79%	79%	80%	83%	66%	68%	79%	80%	79%	92%	77%	74%	79%	79%	88%	79%	80%	83%	73%	80%	83%
52.7%		51%	55%	51%	52%	47%	55%	55%	54%	54%	45%	51%	58%	54%	51%	57%	42%	57%	45%	62%	56%	54%
57.2%		70%	57%	61%	59%	53%	55%	59%	59%	67%	50%	59%	66%	67%	55%	59%	54%	53%	44%	58%	47%	50%
72.1%		84%	73%	77%	84%	48%	71%	77%	74%	70%	84%	77%	55%	77%	75%	80%	81%	65%	61%	70%	51%	80%
61.5%		74%	74%	74%	79%	79%	47%	57%	51%	51%	51%	47%	79%	51%	47%	74%	57%	46%	46%	57%	83%	67%
54.8%		58%	56%	59%	61%	29%	49%	56%	58%	56%	50%	53%	59%	58%	61%	58%	56%	51%	62%	58%	56%	47%
62.5%		64%	68%	64%	60%	63%	65%	68%	66%	71%	61%	60%	60%	66%	64%	25%	64%	70%	65%	61%	70%	57%
60.9%		61%	61%	61%	61%	69%	66%	55%	73%	61%	55%	62%	69%	67%	69%	35%	34%	70%	49%	66%	62%	73%
78.4%		80%	76%	75%	80%	41%	82%	75%	87%	82%	80%	75%	83%	85%	83%	80%	77%	82%	85%	85%	73%	80%
78.3%		86%	90%	77%	71%	80%	92%	77%	78%	77%	80%	86%	58%	77%	86%	81%	78%	81%	61%	85%	72%	72%
74.5%		76%	78%	82%	77%	68%	79%	79%	76%	76%	62%	77%	76%	76%	78%	68%	76%	66%	62%	81%	76%	76%
58.9%		62%	64%	62%	62%	75%	45%	58%	42%	58%	58%	62%	42%	58%	58%	62%	67%	61%	49%	58%	68%	66%
62.1%		43%	46%	46%	56%	22%	50%	66%	79%	69%	60%	73%	58%	71%	71%	70%	77%	62%	79%	59%	65%	83%
60.1%		65%	65%	58%	62%	64%	61%	65%	57%	65%	67%	58%	57%	65%	61%	57%	66%	60%	55%	59%	48%	48%
71.0%		64%	74%	64%	74%	74%	73%	69%	81%	73%	72%	72%	73%	72%	77%	64%	65%	81%	69%	69%	65%	65%
74.9%		72%	81%	80%	81%	67%	78%	81%	72%	81%	79%	75%	67%	70%	69%	66%	72%	76%	75%	75%	79%	76%
74.4%		76%	76%	77%	77%	74%	75%	76%	72%	70%	74%	77%	78%	81%	74%	76%	70%	65%	66%	70%		84%
77.5%		83%	82%	76%	83%	87%	50%	76%	76%	65%	75%	86%	66%	83%	91%	87%	79%	78%	81%	83%	65%	76%
83.0%		77%	85%	80%	85%	85%	86%	80%	91%	85%	91%	80%	75%	85%	79%	77%	89%	82%	79%	77%	85%	89%
74.6%		78%	77%	79%	78%	16%	78%	79%	75%	72%	82%	79%	79%	74%	85%	77%	81%	80%	78%	76%	73%	70%
56.3%		61%	58%	60%	63%	42%	54%	56%	58%	60%	63%	49%	47%	61%	59%	63%	59%	59%	53%	44%	49%	65%
22.1%		32%	32%	16%	22%	51%	16%	22%	16%	22%	16%	9%	22%	27%	13%	16%	22%	33%	30%	16%	22%	9%
51.3%		43%	53%	49%	49%	40%	58%	47%	58%	52%	57%	49%	58%	54%	52%	59%	49%	47%	45%	61%		46%
68.0%		64%	65%	75%	75%	67%	67%	72%	65%	67%	64%	67%	67%	64%	67%	72%	73%	73%	63%	67%	67%	67%
78.1%		79%	82%	79%	82%	83%	77%	80%	80%	75%	82%	76%	75%	80%	76%	77%	77%	71%	80%	80%	75%	75%
69.8%		69%	74%	63%	68%	67%	58%	69%	76%	76%	69%	63%	63%	72%	73%	70%	74%	77%	80%	64%	72%	69%
71.8%		73%	77%	72%	74%	66%	77%	66%	66%	71%	79%	79%	72%	71%	73%	70%	66%	61%	64%	71%	83%	77%
73.3%		76%	76%	76%	68%	74%	68%	80%	73%	73%	76%	78%	78%	73%	79%	74%	63%	71%	53%	82%	68%	81%
63.5%		65%	71%	77%	65%	31%	69%	64%	71%	66%	65%	65%	49%	69%	65%	67%	49%	66%	65%	66%	60%	69%
52.1%		41%	42%	56%	57%	0%	46%	58%	61%	57%	44%	44%	68%	62%	48%	57%	52%	78%	34%	48%	93%	48%
58.2%		70%	54%	62%	70%	80%	43%	51%	59%	57%	55%	56%	42%	47%	46%	78%	63%	56%	66%	50%	63%	54%
30.3%		33%	28%	33%	33%	53%	28%	33%	33%	33%	33%	28%	16%	33%	28%	36%	31%	21%	20%	24%		28%
59.3%		61%	60%	60%	63%	63%	61%	59%	61%	58%	50%	59%	58%	58%	61%	59%	55%	59%	64%	59%	57%	61%
52.0%		55%	51%	50%	55%	57%	50%	48%	51%	50%	57%	44%	48%	54%	57%	58%	58%	46%	55%	52%		45%
72.9%		68%	79%	79%	79%	80%	68%	84%	75%	84%	70%	70%	73%	79%	73%	64%	62%	65%	68%	79%	60%	71%
52.7%		62%	41%	54%	48%	49%	59%	43%	53%	44%	53%	53%	77%	43%	70%	64%	50%	33%	41%	66%	47%	57%
73.1%		81%	81%	81%	81%	37%	76%	78%	80%	74%	81%	76%	61%	80%	79%	81%	79%	61%	59%	80%	50%	80%
22.6%		32%	11%	22%	22%	16%	27%	16%	22%	16%	22%	22%	22%	16%	37%	42%	43%	18%	15%	22%	16%	16%
69.3%		77%	67%	65%	72%	76%	66%	75%	67%	70%	79%	71%	55%	69%	65%	70%	77%	78%	68%	54%	67%	67%
54.5%		67%	61%	56%	56%	18%	71%	62%	51%	57%	43%	50%	67%	48%	50%	62%	44%	31%	31%	71%	75%	74%
59.0%		72%	61%	58%	61%	67%	56%	61%	55%	54%	63%	58%	51%	54%	48%	58%	70%	61%	71%	46%	54%	61%
66.4%		61%	63%	63%	63%	80%	69%	81%	80%	76%	63%	55%	72%	72%	72%	54%	52%	59%	65%	57%	74%	64%
74.4%		74%	87%	78%	78%	86%	86%	94%	83%	70%	58%	75%	74%	73%	78%	61%	78%	50%	64%	86%	73%	57%
72.3%		91%	79%	70%	79%	73%	56%	70%	61%	74%	79%	81%	51%	74%	64%	78%	78%	74%	82%	70%	60%	74%
62.7%		73%	73%	68%	62%	65%	71%	68%	75%	65%	58%	59%	60%	68%	61%	62%	61%	54%	47%	65%	49%	53%
84.8%		75%	86%	69%	75%	89%	84%	89%	98%	86%	75%	86%	89%	92%	92%	81%	69%	69%	95%	98%	92%	92%
75.4%		87%	76%	87%	87%	9%	88%	82%	70%	82%	83%	82%	77%	78%	78%	80%	76%	74%	76%	75%	76%	60%
67.1%		62%	75%	74%	74%	59%	67%	66%	64%	66%	74%	62%	68%	74%	65%	69%	67%	62%	62%	62%	67%	71%
59.2%		64%	65%	57%	57%	62%	61%	55%	51%	57%	62%	56%	43%	64%	62%	64%	61%	62%	61%	60%	62%	57%
57.0%		69%	52%	61%	61%	44%	52%	58%	55%	55%	71%	38%	54%	60%	52%	63%	67%	58%	56%	39%	67%	66%
72.2%		76%	71%	75%	87%	70%	60%	58%	82%	79%	78%	75%	61%	78%	82%	81%	80%	78%	32%	78%	65%	70%
45.6%		52%	45%	45%	42%	42%	42%	52%	42%	52%	52%	45%	44%	52%	49%	52%	49%	42%	47%	45%	27%	40%
71.3%		69%	80%	65%	63%	79%	79%	78%	72%	80%	76%	74%	70%	72%	78%	66%	64%	77%	50%	65%	79%	61%
81.2%		77%	81%	81%	85%	69%	80%	79%	88%	82%	89%	76%	75%	82%	75%	92%	89%	90%	75%	81%	78%	82%
54.7%		61%	49%	59%	51%	47%	34%	59%	62%	67%	57%	52%	46%	59%	62%	58%	68%	57%	33%	46%	65%	56%
64.2%		66%	69%	67%	66%	49%	68%	64%	64%	64%	50%	66%	65%	64%	68%	60%	64%	67%	59%	73%	68%	67%
46.3%		50%	46%	46%	62%	71%	40%	46%	46%	51%	62%	40%	34%	46%	40%	68%	61%	23%	47%	31%	40%	23%
59.9%		58%	62%	58%	58%	46%	85%	62%	72%	59%	43%	62%	67%	58%	58%	52%	61%	57%	55%	63%	63%	58%
61.7%		55%	63%	59%	59%	39%	63%	73%	64%	64%	55%	55%	65%	69%	68%	62%	54%	68%	69%	68%	62%	62%
62.3%		64%	64%	66%	64%	60%	43%	73%	60%	65%	66%	63%	65%	66%	70%	60%	60%	66%	42%	66%	60%	66%
71.8%		58%	72%	71%	77%	68%	60%	65%	65%	65%	65%	82%	82%	65%	73%	78%	71%	82%	87%	82%	90%	49%
58.3%		62%	61%	58%	62%	40%	59%	56%	58%	57%	57%	54%	58%	61%	59%	65%	60%	55%	60%	66%	58%	59%
78.8%		72%	93%	87%	72%	30%	93%	93%	93%	91%	75%	85%	74%	87%	93%	61%	71%	80%	58%	91%	81%	75%
71.7%		79%	74%	77%	73%	62%	79%	68%	71%	72%	74%	73%	61%	73%	73%	73%	65%	77%	67%	77%	67%	70%
73.7%		78%	78%	73%	78%	78%	58%	78%	88%	76%	73%	71%	71%	78%	52%	78%	78%	78%	79%	58%	73%	73%
69.4%		66%	73%	70%	74%	57%	81%	66%	66%	65%	73%	73%	63%	73%	63%	69%	66%	76%	81%	66%	68%	68%
46.9%		39%	40%	43%	28%	52%	45%	46%	49%	42%	54%	48%	60%	45%	51%	55%	58%	44%	63%	49%	41%	32%
69.4%		78%	76%	81%	78%	75%	63%	63%	45%	58%	70%	78%	81%	70%	63%	74%	73%	63%	75%	70%	50%	74%
67.7%		70%	70%	70%	70%	37%	71%	83%	68%	71%	72%	71%	81%	71%	63%	64%	65%	63%	64%	68%	51%	79%
73.9%		76%	77%	79%	79%	53%	73%	71%	81%	76%	65%	74%	72%	76%	74%	76%	73%	74%	72%	81%	76%	73%
68.4%		68%	69%	72%	69%	48%	73%	68%	75%	69%	74%	69%	65%	69%	74%	69%	69%	69%	66%	69%	68%	65%
61.7%		56%	58%	64%	42%	68%	48%	64%	70%	72%	64%	55%	47%	72%	64%	69%	70%	67%	64%	51%	68%	62%
65.5%		61%	66%	69%	63%	29%	68%	69%	70%	64%	64%	69%	78%	73%	70%	68%	63%	62%	59%	73%	76%	62%
75.0%		72%	75%	72%	86%	76%	65%	75%	77%	75%	77%	72%	76%	77%	77%	77%	77%	77%	77%	72%	68%	76%
52.5%		53%	53%	53%	53%	26%	65%	54%	61%	54%	54%	53%	60%	54%	60%	53%	47%	35%	48%	60%	54%	53%
72.3%		75%	69%	74%	74%	74%	56%	77%	69%	76%	74%	76%	76%	71%	74%	82%	71%	64%	55%	74%	71%	87%
80.7%		86%	85%	81%	86%	50%	85%	75%	87%	84%	66%	78%	80%	84%	81%	80%	87%	87%	85%	84%	82%	81%
63.7%		65%	73%	65%	65%	66%	66%	69%	60%	63%	63%	71%	57%	69%	71%	57%	62%	51%	50%	65%	75%	55%
78.0%		75%	82%	65%	75%	75%	70%	70%	80%	80%	83%	87%	92%	86%	88%	65%	80%	88%	90%	67%	87%	54%
73.1%		70%	82%	78%	75%	70%	91%	68%	70%	70%	71%	79%	72%	75%	81%	71%	72%	65%	65%	70%	65%	75%
78.6%		83%	83%	83%	83%	51%	83%	80%	78%	75%	75%	78%	77%	83%	81%	69%	73%	81%	81%	88%	78%	87%
85.5%		88%	87%	91%	86%	22%	91%	91%	82%	100%	87%	91%	96%	87%	87%	88%	87%	86%	80%	88%	93%	87%
69.4%		67%	72%	72%	55%	77%	73%	77%	69%	79%	69%	74%	70%	68%	78%	57%	66%	68%	68%	67%	71%	60%
76.0%		77%	81%	75%	77%	39%	78%	73%	83%	82%	77%	82%	86%	82%	75%	72%	69%	77%	74%	86%	75%	77%
50.0%		50%	48%	50%	50%	56%	60%	56%	46%	56%	48%	56%	61%	48%	50%	47%	42%	51%	31%	55%	48%	41%
64.7%		62%	74%	62%	53%	64%	81%	63%	62%	62%	71%	74%	62%	62%	78%	54%	59%	79%	50%	74%	57%	56%
79.4%		86%	75%	90%	87%	85%	86%	87%	75%	90%	90%	68%	64%	82%	64%	96%	82%	75%	44%	90%	83%	69%
51.2%		47%	59%	53%	41%	59%	46%	73%	52%	69%	57%	59%	41%	62%	59%	33%	33%	47%	48%	47%	41%	49%
44.8%		43%	37%	43%	43%	52%	41%	48%	41%	47%	43%	41%	37%	41%	49%	53%	48%	56%	46%	48%	41%	43%
38.6%		42%	45%	59%	38%	55%	15%	73%	38%	37%	39%	57%	28%	31%	27%	59%	31%	43%	19%	28%	22%	24%
61.6%		77%	75%	72%	75%	38%	56%	51%	58%	56%	67%	51%	68%	58%	58%	68%	64%	54%	56%	68%	63%	60%
60.1%		54%	64%	64%	61%	58%	72%	64%	58%	62%	62%	63%	61%	64%	68%	54%	52%	54%	44%	68%	58%	58%
23.2%		22%	29%	31%	22%	10%	34%	31%	28%	22%	23%	22%	23%	23%	27%	20%	21%	19%	25%	31%	12%	12%
62.1%		57%	67%	67%	57%	67%	61%	75%	64%	55%	67%	64%	59%	67%	63%	59%	62%	56%	58%	64%	56%	59%
67.8%		74%	74%	74%	74%	29%	74%	61%	74%	73%	58%	87%	74%	74%	86%	70%	69%	74%	70%	87%	10%	57%
73.4%		77%	77%	77%	76%	42%	65%	77%	77%	77%	76%	75%	62%	75%	77%	76%	77%	77%	77%	72%	77%	76%
63.0%		73%	63%	59%	75%	92%	36%	63%	52%	63%	81%	59%	51%	63%	62%	70%	76%	59%	68%	55%	65%	37%
56.8%		61%	58%	61%	50%	52%	61%	55%	61%	47%	66%	67%	53%	64%	51%	41%	55%	30%	71%	58%	66%	64%
53.1%		54%	52%	63%	67%	34%	46%	58%	58%	58%	57%	44%	41%	58%	52%	53%	60%	49%	40%	43%	64%	65%
79.5%		76%	81%	76%	76%	74%	78%	72%	83%	82%	82%	72%	82%	82%	82%	85%	85%	80%	79%	76%	82%	85%
55.7%		70%	57%	56%	64%	64%	60%	56%	56%	56%	50%	56%	63%	56%	52%	56%	56%	39%	48%	56%	49%	50%
78.8%		65%	81%	80%	71%	87%	74%	93%	82%	92%	76%	82%	85%	82%	84%	65%	69%	80%	79%	92%	76%	60%
77.1%		77%	81%	79%	77%	76%	75%	79%	71%	79%	92%	86%	82%	79%	80%	85%	71%	76%	48%	78%	79%	70%
62.1%		76%	68%	54%	66%	63%	55%	65%	53%	76%	63%	66%	75%	50%	63%	66%	68%	48%	60%	59%	63%	48%
72.6%		72%	78%	72%	72%	69%	77%	80%	67%	77%	58%	80%	59%	72%	75%	77%	81%	55%	79%	80%	77%	68%
44.1%		51%	46%	39%	46%	69%	27%	44%	44%	51%	50%	44%	38%	51%	38%	60%	52%	32%	30%	38%	35%	41%
62.9%		60%	62%	60%	60%	73%	73%	53%	78%	69%	66%	67%	65%	78%	76%	56%	60%	45%	51%	72%	56%	41%
69.7%		75%	65%	66%	75%	80%	79%	72%	72%	65%	81%	66%	52%	63%	52%	73%	70%	72%	70%	60%	76%	79%
73.7%		74%	72%	74%	74%	78%	71%	71%	72%	72%	72%	72%	74%	75%	76%	75%	79%	74%	74%	75%	72%	72%
60.4%		57%	69%	60%	56%	45%	69%	68%	69%	65%	62%	68%	69%	62%	67%	52%	62%	35%	42%	68%	66%	57%
71.0%		71%	78%	71%	68%	69%	79%	71%	71%	71%	71%	71%	67%	71%	76%	71%	71%	79%	68%	63%	67%	67%
77.1%		79%	85%	78%	79%	46%	80%	78%	84%	84%	78%	75%	77%	77%	77%	72%	79%	75%	76%	84%	78%	78%
56.0%		57%	47%	48%	48%	62%	68%	48%	50%	60%	54%	59%	65%	48%	65%	65%	65%	47%	43%	48%	65%	65%
50.1%		48%	46%	59%	46%	47%	59%	56%	46%	44%	59%	59%	46%	57%	53%	42%	51%	46%	35%	57%	50%	46%

Model Similarity Dendrogram

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