DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Aitaly C10 - Run 7c54abb...

Global Dialogues GD4 - Italy (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

AI Safety & Robustness

Best Models (Coverage)

1.Claude Sonnet 4.5
75.3%
2.Claude Sonnet 4
73.9%
3.Claude 3.7 Sonnet
72.9%
4.GPT 5
72.6%
5.GPT 5.1
72.2%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

74.1% similarity

👯 Most Similar Models

Claude Sonnet 4vsGPT 4o

92.4% 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

	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		3rd 72.9%	6th 72.1%	2nd 73.9%	1st 75.3%	14th 69.3%	19th 67.0%	8th 71.1%	13th 69.4%	11th 70.2%	7th 71.9%	10th 70.4%	20th 65.3%	9th 70.5%	16th 67.8%	4th 72.6%	5th 72.2%	17th 67.4%	21st 65.0%	15th 68.1%	18th 67.0%	12th 69.7%
66.9%		76%	65%	72%	76%	60%	45%	61%	76%	71%	63%	61%	52%	75%	59%	75%	72%	55%	79%	65%	79%	68%
51.3%		60%	40%	52%	52%	67%	27%	40%	38%	54%	69%	46%	54%	56%	43%	62%	66%	56%	47%	40%	59%	50%
60.2%		58%	55%	61%	65%	48%	69%	64%	57%	61%	62%	64%	61%	61%	66%	61%	63%	62%	57%	61%	51%	57%
76.6%		76%	81%	78%	78%	77%	81%	76%	77%	77%	79%	79%	73%	78%	75%	76%	78%	78%	66%	77%	74%	75%
56.7%		62%	62%	62%	62%	51%	62%	64%	57%	59%	58%	58%	57%	59%	63%	57%	50%	40%	38%	62%	54%	53%
64.3%		77%	63%	60%	77%	68%	61%	54%	66%	64%	77%	68%	52%	73%	54%	81%	73%	68%	38%	64%	50%	63%
58.5%		75%	67%	67%	71%	50%	52%	63%	49%	64%	55%	59%	52%	46%	50%	64%	63%	54%	50%	50%	69%	59%
71.7%		75%	75%	79%	68%	81%	65%	72%	74%	66%	74%	60%	71%	72%	75%	78%	74%	71%	74%	78%	58%	65%
73.9%		88%	79%	83%	79%	61%	82%	84%	76%	68%	73%	69%	72%	76%	92%	44%	76%	85%	59%	72%	64%	70%
79.8%		47%	88%	88%	77%	82%	83%	90%	86%	75%	72%	79%	95%	89%	85%	72%	67%	90%	75%	82%		73%
75.8%		88%	74%	75%	75%	68%	69%	73%	74%	78%	83%	78%	87%	83%	83%	78%	83%	71%	78%	78%	54%	62%
62.5%		71%	81%	65%	73%	66%	66%	60%	58%	58%	62%	73%	32%	60%	62%	71%	62%	53%	53%	80%	53%	53%
65.0%		70%	64%	70%	74%	66%	64%	64%	67%	67%	67%	64%	69%	64%	63%	64%	69%	56%	65%	64%	59%	56%
54.9%		62%	74%	68%	60%	49%	48%	60%	42%	57%	49%	62%	54%	46%	49%	69%	60%	46%	45%	46%	57%	49%
53.5%		62%	49%	61%	61%	43%	52%	57%	58%	57%	63%	56%	47%	64%	39%	63%	67%	29%	57%	46%	44%	48%
75.8%		80%	79%	79%	80%	80%	64%	77%	78%	77%	77%	77%	71%	79%	72%	79%	77%	72%	74%	68%	73%	79%
73.0%		69%	74%	59%	67%	67%	74%	75%	80%	75%	76%	75%	76%	69%	81%	61%	69%	73%	77%	69%	80%	86%
81.0%		85%	90%	90%	85%	94%	77%	86%	84%	84%	81%	90%	50%	85%	68%	83%	88%	81%	82%	85%	64%	69%
77.6%		85%	81%	78%	86%	81%	75%	85%	81%	78%	86%	78%	78%	78%	71%	79%	73%	69%	65%	72%	79%	71%
90.6%		93%	97%	89%	89%	93%	73%	100%	89%	94%	93%	89%	100%	94%	88%	89%	84%	89%	86%	89%	100%	84%
80.9%		85%	86%	86%	83%	78%	82%	85%	84%	84%	88%	89%	56%	83%	56%	83%	89%	81%	78%	89%		73%
77.9%		79%	85%	80%	80%	59%	78%	90%	85%	89%	70%	85%	78%	65%	89%	80%	75%	84%	52%	80%	79%	73%
62.8%		73%	57%	67%	73%	70%	55%	67%	59%	63%	70%	57%	57%	69%	52%	74%	62%	70%	63%	39%	56%	65%
40.0%		47%	47%	52%	54%	49%	27%	39%	39%	39%	42%	29%	29%	43%	29%	34%	39%	31%	32%	29%	57%	54%
71.8%		69%	72%	81%	81%	62%	72%	67%	78%	72%	81%	73%	74%	67%	62%	70%	74%	69%	77%	75%	70%	61%
79.0%		92%	65%	76%	80%	84%	84%	64%	77%	84%	76%	84%	84%	89%	84%	80%	77%	77%	64%	84%	84%	69%
77.2%		81%	82%	86%	86%	79%	66%	88%	70%	76%	87%	76%	60%	81%	63%	88%	87%	68%	78%	83%	60%	76%
62.3%		75%	64%	62%	71%	62%	46%	58%	64%	68%	62%	62%	58%	60%	56%	67%	74%	52%	53%	57%	64%	73%
68.6%		76%	66%	71%	71%	68%	67%	76%	65%	68%	76%	68%	68%	68%	60%	69%	71%	62%	69%	64%	69%	69%
71.5%		73%	73%	79%	79%	69%	67%	76%	72%	71%	73%	71%	63%	71%	75%	75%	74%	71%	57%	70%	67%	76%
58.0%		58%	62%	62%	67%	55%	51%	62%	49%	55%	61%	55%	52%	62%	59%	61%	57%	62%	51%	57%	65%	55%
82.9%		92%	89%	80%	80%	72%	74%	76%	92%	92%	84%	88%	73%	85%	88%	87%	84%	68%	87%	92%	86%	71%
66.0%		79%	64%	67%	81%	76%	58%	65%	60%	65%	81%	64%	59%	60%	46%	68%	64%	79%	60%	55%	71%	65%
61.2%		61%	65%	65%	79%	76%	52%	62%	55%	67%	75%	61%	50%	65%	45%	74%	74%	52%	59%	48%	53%	48%
75.6%		74%	67%	86%	82%	84%	77%	89%	73%	80%	58%	67%	76%	70%	76%	76%	74%	70%	66%	89%	73%	80%
79.2%		81%	84%	84%	89%	81%	74%	78%	75%	81%	81%	73%	73%	87%	80%	72%	83%	87%	79%	76%	64%	81%
64.4%		56%	78%	79%	78%	64%	57%	78%	52%	67%	59%	49%	59%	64%	64%	77%	70%	67%	48%	59%	50%	77%
65.3%		54%	63%	69%	69%	69%	57%	64%	69%	54%	69%	69%	68%	54%	74%	70%	68%	63%	68%	65%	62%	74%
65.9%		70%	67%	68%	68%	71%	65%	64%	68%	66%	66%	70%	52%	70%	70%	70%	65%	68%	66%	54%	57%	68%
77.3%		76%	62%	82%	75%	98%	76%	63%	79%	63%	80%	91%	89%	63%	81%	91%	80%	76%	69%	82%	76%	71%
72.0%		74%	74%	75%	74%	72%	63%	74%	71%	73%	75%	75%	71%	73%	69%	72%	72%	78%	70%	62%	72%	74%
64.3%		71%	71%	74%	74%	62%	79%	71%	80%	65%	53%	59%	65%	65%	53%	71%	61%	44%	37%	90%	77%	28%
74.6%		70%	74%	76%	75%	84%	68%	70%	79%	77%	57%	70%	76%	80%	75%	66%	80%	80%	70%	82%	78%	79%
69.4%		78%	66%	66%	75%	81%	50%	76%	75%	68%	78%	62%	46%	70%	55%	69%	63%	81%	75%	55%	72%	96%
75.6%		79%	78%	81%	81%	73%	83%	77%	83%	67%	81%	75%	65%	75%	81%	81%	80%	76%	55%	75%	67%	74%
68.8%		80%	61%	67%	72%	60%	69%	66%	71%	76%	72%	67%	67%	66%	62%	72%	71%	73%	69%	72%	72%	59%
67.8%		75%	78%	66%	68%	68%	70%	66%	68%	66%	66%	66%	69%	70%	67%	59%	71%	61%	68%	62%	62%	77%
87.7%		88%	88%	77%	77%	94%	97%	94%	99%	94%	94%	88%	99%	82%	77%	77%	79%	77%	83%	88%	90%	99%
71.6%		61%	81%	75%	69%	60%	75%	83%	72%	76%	71%	69%	86%	69%	68%	75%	76%	60%	65%	75%	81%	57%
76.0%		86%	81%	78%	84%	69%	76%	76%	67%	74%	86%	76%	79%	78%	78%	72%	78%	75%	71%	67%	72%	72%
73.4%		78%	84%	81%	78%	78%	76%	71%	67%	69%	76%	75%	73%	72%	76%	79%	74%	69%	63%	67%	71%	64%
70.8%		82%	59%	82%	78%	40%	57%	67%	67%	71%	80%	60%	58%	65%	80%	92%	80%	89%	85%	51%		73%
57.2%		75%	59%	69%	75%	69%	57%	55%	55%	59%	59%	59%	46%	51%	48%	59%	55%	42%	46%	50%	54%	59%
60.9%		65%	69%	65%	65%	81%	46%	61%	65%	64%	56%	51%	55%	59%	51%	69%	60%	68%	56%	46%		65%
77.0%		83%	70%	72%	75%	70%	74%	78%	87%	81%	78%	84%	84%	87%	84%	72%	78%	67%	71%	75%	72%	75%
67.4%		69%	59%	73%	78%	80%	59%	57%	74%	75%	75%	61%	60%	62%	57%	73%	75%	72%	71%	57%	60%	68%
60.7%		71%	59%	66%	63%	65%	40%	59%	73%	72%	66%	45%	29%	68%	45%	79%	74%	66%	63%	47%	73%	52%
82.0%		87%	87%	92%	89%	84%	83%	82%	79%	76%	83%	84%	81%	84%	83%	78%	81%	73%	79%	79%	78%	81%
56.3%		58%	61%	61%	75%	74%	37%	55%	51%	53%	67%	58%	44%	61%	43%	73%	65%	58%	44%	39%	55%	51%
68.8%		67%	80%	80%	80%	61%	82%	67%	80%	55%	67%	61%	63%	73%	69%	75%	63%	57%	63%	71%	61%	69%
73.3%		74%	79%	74%	74%	55%	76%	76%	76%	66%	55%	70%	79%	79%	81%	79%	64%	74%	81%	72%	71%	85%
62.4%		58%	67%	65%	70%	59%	59%	63%	55%	60%	71%	64%	54%	60%	65%	67%	65%	63%	61%	60%	57%	67%
78.1%		89%	83%	85%	85%	84%	82%	85%	82%	79%	89%	74%	60%	90%	75%	90%	80%	62%	56%	75%	57%	79%
81.0%		87%	80%	87%	87%	62%	85%	79%	78%	89%	89%	89%	70%	73%	85%	96%	89%	85%	58%	89%	87%	57%
57.5%		60%	54%	60%	62%	60%	53%	56%	57%	56%	57%	57%	44%	60%	59%	57%	61%	68%	46%	56%	56%	68%
67.4%		66%	74%	67%	67%	63%	60%	72%	66%	78%	64%	67%	56%	69%	59%	69%	69%	78%	75%	67%	63%	66%
70.7%		80%	78%	76%	76%	94%	48%	74%	70%	67%	71%	76%	55%	64%	59%	78%	84%	64%	67%	55%	71%	78%
57.5%		67%	60%	59%	54%	58%	58%	71%	49%	61%	54%	63%	52%	52%	61%	54%	53%	57%	49%	65%	53%	57%
67.4%		72%	72%	71%	65%	73%	65%	65%	62%	69%	69%	75%	64%	58%	69%	67%	63%	68%	59%	67%	63%	79%
82.7%		81%	87%	85%	75%	79%	94%	85%	61%	70%	72%	98%	87%	85%	87%	87%	87%	81%	87%	87%	82%	79%
71.5%		67%	69%	75%	69%	67%	73%	79%	64%	69%	73%	63%	65%	76%	74%	76%	79%	70%	69%	76%	63%	86%
70.4%		71%	71%	69%	69%	47%	80%	78%	74%	67%	72%	80%	74%	70%	65%	69%	75%	71%	65%	71%	67%	74%
89.4%		92%	90%	97%	97%	74%	84%	76%	97%	92%	82%	85%	97%	92%	80%	97%	97%	92%	97%	92%	93%	75%
51.8%		51%	53%	63%	67%	66%	29%	33%	59%	56%	60%	42%	20%	59%	37%	62%	59%	57%	55%	39%	62%	59%
73.9%		81%	74%	79%	79%	71%	72%	77%	73%	71%	75%	71%	72%	76%	73%	78%	79%	70%	65%	69%	65%	81%
81.1%		89%	79%	89%	89%	64%	92%	89%	84%	78%	77%	95%	84%	73%	86%	84%	78%	68%	63%	82%	86%	74%
78.0%		80%	81%	84%	83%	69%	77%	79%	81%	76%	84%	77%	70%	81%	78%	78%	77%	70%	79%	77%		79%
73.2%		78%	70%	78%	81%	76%	84%	81%	56%	70%	81%	79%	64%	68%	76%	78%	71%	61%	73%	71%	63%	78%
78.0%		73%	78%	83%	83%	63%	80%	77%	75%	78%	83%	78%	83%	77%	80%	81%	81%	85%	79%	80%	60%	80%
62.1%		63%	59%	63%	63%	65%	61%	62%	69%	69%	63%	63%	70%	71%	56%	59%	62%	58%	57%	69%	43%	59%
89.6%		82%	97%	82%	84%	86%	87%	87%	85%	90%	97%	97%	93%	97%	97%	91%	97%	90%	82%	91%	85%	85%
67.2%		67%	69%	74%	83%	69%	74%	69%	62%	67%	69%	75%	45%	69%	81%	69%	62%	57%	57%	80%	57%	57%
54.9%		56%	55%	62%	62%	51%	57%	60%	54%	48%	59%	56%	55%	58%	57%	53%	55%	52%	51%	51%	47%	54%
77.8%		86%	83%	83%	86%	72%	85%	71%	76%	80%	79%	73%	77%	72%	79%	74%	75%	80%	63%	72%	83%	84%
76.5%		83%	73%	85%	83%	78%	74%	85%	76%	78%	78%	78%	73%	75%	59%	79%	74%	78%	83%	75%	73%	66%
78.8%		75%	87%	87%	85%	54%	86%	81%	78%	83%	78%	79%	74%	87%	81%	75%	83%	84%	66%	83%	58%	90%
72.3%		71%	82%	78%	82%	70%	74%	75%	71%	67%	68%	73%	71%	63%	70%	68%	66%	68%	62%	85%	69%	86%
65.4%		62%	74%	71%	71%	67%	77%	68%	49%	52%	68%	66%	67%	63%	73%	59%	64%	66%	51%	75%	61%	70%
68.9%		73%	76%	80%	79%	86%	62%	66%	80%	64%	64%	64%	56%	72%	73%	64%	70%	43%	54%	73%	72%	76%
64.2%		70%	66%	78%	78%	78%	66%	71%	68%	62%	71%	65%	52%	71%	74%	37%	50%	57%	39%	73%	60%	62%
77.7%		78%	80%	82%	89%	69%	75%	79%	81%	76%	81%	79%	77%	78%	76%	78%	80%	66%	81%	78%	64%	85%
53.8%		46%	64%	72%	70%	79%	33%	53%	53%	48%	44%	54%	41%	44%	44%	66%	67%	63%	42%	44%	37%	66%
66.9%		74%	58%	72%	72%	42%	78%	70%	66%	67%	69%	67%	67%	72%	67%	69%	71%	60%	60%	60%	67%	77%
75.9%		73%	73%	79%	78%	73%	87%	76%	63%	74%	73%	78%	96%	69%	84%	73%	78%	59%	79%	87%	74%	67%
58.9%		55%	60%	70%	70%	64%	66%	69%	62%	62%	62%	53%	53%	58%	57%	55%	58%	49%	53%	58%	47%	56%
49.9%		49%	52%	55%	55%	45%	45%	52%	49%	50%	54%	49%	46%	49%	49%	52%	48%	46%	47%	58%	48%	50%
61.4%		60%	57%	66%	74%	38%	74%	60%	62%	51%	64%	67%	64%	62%	70%	63%	69%	57%	60%	67%	62%	43%
86.9%		90%	90%	97%	90%	71%	84%	91%	97%	90%	78%	74%	97%	90%	86%	73%	90%	86%	86%	89%	97%	79%
69.6%		74%	72%	64%	85%	92%	40%	66%	55%	65%	85%	66%	64%	81%	57%	85%	90%	66%	60%	62%	68%	65%
74.4%		76%	72%	75%	90%	74%	66%	71%	78%	63%	80%	85%	44%	79%	90%	90%	79%	60%	60%	67%	74%	90%
69.4%		78%	79%	88%	75%	31%	63%	77%	77%	84%	88%	66%	56%	77%	60%	58%	71%	58%	65%	55%	74%	77%
76.2%		73%	73%	73%	71%	79%	79%	77%	80%	77%	79%	78%	63%	78%	63%	80%	77%	72%	93%	78%		80%
53.7%		54%	64%	49%	56%	51%	56%	51%	55%	56%	51%	62%	51%	41%	46%	58%	58%	55%	49%	56%	57%	51%
70.5%		67%	71%	65%	64%	77%	67%	71%	71%	77%	71%	75%	75%	65%	64%	61%	64%	73%	76%	69%	82%	75%
78.3%		76%	81%	83%	86%	71%	79%	80%	66%	76%	83%	89%	81%	79%	85%	76%	82%	70%	70%	86%		68%
80.6%		68%	89%	77%	90%	69%	71%	89%	72%	78%	78%	95%	89%	78%	62%	90%	95%	89%	68%	61%	90%	95%
63.8%		82%	83%	66%	66%	85%	36%	55%	47%	69%	82%	76%	44%	63%	47%	83%	72%	61%	52%	49%		57%
67.4%		75%	61%	69%	69%	86%	41%	64%	58%	73%	79%	71%	69%	75%	64%	85%	79%	60%	57%	60%	49%	71%
65.9%		67%	67%	68%	67%	68%	63%	64%	72%	67%	65%	67%	55%	63%	67%	69%	69%	72%	72%	69%	50%	63%
85.5%		96%	92%	92%	79%	76%	80%	85%	90%	95%	77%	86%	86%	92%	67%	88%	92%	96%	86%	79%	81%	81%
72.0%		58%	73%	73%	79%	71%	72%	80%	73%	73%	73%	61%	61%	73%	81%	73%	73%	73%	64%	73%	76%	79%
60.3%		66%	61%	63%	68%	71%	61%	57%	65%	64%	53%	65%	50%	57%	42%	73%	57%	57%	67%	37%	62%	71%
76.6%		84%	63%	70%	71%	84%	70%	78%	78%	71%	80%	78%	84%	84%	84%	78%	75%	65%	74%	76%	84%	78%
70.2%		74%	78%	76%	78%	42%	71%	69%	67%	73%	72%	73%	66%	73%	80%	73%	73%	71%	69%	67%	56%	74%
77.9%		85%	77%	76%	90%	99%	66%	79%	68%	79%	82%	76%	54%	79%	79%	79%	81%	78%	81%	64%	82%	82%
71.0%		72%	73%	75%	75%	69%	77%	70%	62%	70%	73%	70%	62%	70%	73%	79%	65%	62%	72%	71%	81%	71%

Model Similarity Dendrogram

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