DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Apoland C10 - Run 4c05e85...

Global Dialogues GD4 - Poland (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Quantitative Analysis

Best Models (Coverage)

1.Claude 3.7 Sonnet
66.6%
2.Claude Sonnet 4.5
66.5%
3.GPT 5
66.4%
4.Claude Sonnet 4
66.2%
5.GPT 5.1
65.9%

🔀 Least Similar Models

Claude Sonnet 4.5vsGemma 3 12b It

75.2% similarity

👯 Most Similar Models

GPT 4.1vsGPT 4o

94.4% 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		1st 66.6%	7th 64.7%	4th 66.2%	2nd 66.5%	19th 60.2%	17th 61.0%	9th 64.3%	13th 62.5%	12th 62.8%	6th 65.8%	8th 64.6%	20th 59.1%	10th 64.1%	14th 62.0%	3rd 66.4%	5th 65.9%	16th 61.5%	21st 58.3%	18th 60.7%	15th 61.7%	11th 63.6%
69.7%		80%	68%	77%	87%	87%	48%	60%	77%	71%	58%	59%	72%	74%	43%	77%	77%	82%	54%	77%	81%	54%
47.7%		51%	39%	47%	51%	81%	28%	39%	43%	47%	68%	46%	39%	62%	43%	60%	57%	50%	22%	39%	39%	50%
56.8%		61%	61%	61%	58%	74%	51%	53%	58%	58%	58%	58%	54%	74%	44%	54%	56%	56%	59%	54%	54%	37%
56.6%		62%	57%	62%	62%	44%	61%	59%	58%	52%	55%	50%	56%	52%	51%	63%	56%	49%	54%	56%	62%	67%
29.8%		37%	33%	30%	26%	30%	37%	30%	25%	30%	30%	30%	30%	37%	37%	20%	20%	22%	21%	37%	26%	37%
79.9%		82%	77%	84%	82%	47%	84%	84%	87%	88%	82%	83%	86%	82%	86%	75%	86%	83%	72%	82%		66%
58.4%		59%	57%	59%	59%	66%	45%	76%	61%	55%	59%	59%	46%	43%	51%	59%	66%	51%	67%	66%	61%	62%
70.7%		81%	67%	57%	57%	63%	88%	75%	74%	73%	49%	81%	73%	88%	72%	67%	72%	80%	70%	80%	72%	45%
75.8%		68%	74%	86%	81%	48%	67%	89%	82%	71%	71%	48%	86%	86%	81%	76%	79%	82%	78%	86%	79%	73%
68.9%		61%	72%	72%	67%	67%	73%	82%	76%	76%	67%	74%	65%	66%	65%	60%	67%	75%	72%	65%	65%	60%
79.8%		89%	82%	89%	88%	68%	81%	79%	86%	79%	89%	89%	85%	79%	75%	90%	86%	61%	63%	89%	61%	67%
77.1%		87%	87%	87%	87%	87%	82%	70%	69%	77%	81%	79%	51%	87%	77%	80%	83%	66%	62%	80%	78%	63%
74.1%		74%	68%	74%	77%	77%	68%	72%	66%	73%	74%	77%	77%	77%	68%	81%	78%	77%	75%	74%	71%	78%
48.0%		58%	61%	57%	60%	49%	35%	55%	36%	49%	40%	58%	34%	37%	44%	50%	61%	37%	36%	44%	54%	52%
60.9%		78%	56%	74%	72%	36%	55%	54%	68%	57%	80%	68%	63%	53%	49%	51%	72%	65%	57%	56%	61%	53%
52.7%		49%	52%	53%	57%	63%	45%	56%	39%	63%	63%	52%	41%	57%	51%	63%	68%	57%	37%	37%	53%	51%
84.0%		78%	84%	76%	82%	90%	90%	90%	88%	100%	81%	84%	78%	88%	88%	78%	78%	88%	90%	78%	78%	78%
49.5%		57%	44%	48%	48%	57%	44%	48%	51%	48%	40%	44%	51%	39%	48%	61%	48%	46%	46%	45%	54%	72%
73.1%		87%	69%	70%	81%	68%	79%	61%	58%	68%	79%	87%	54%	68%	87%	75%	74%	68%	74%	77%	65%	87%
53.3%		58%	51%	44%	58%	58%	37%	58%	54%	40%	44%	58%	59%	44%	63%	64%	63%	56%	49%	58%	54%	49%
67.4%		78%	76%	81%	79%	68%	68%	78%	61%	65%	75%	70%	55%	72%	55%	68%	80%	51%	58%	70%	68%	40%
64.4%		66%	74%	74%	61%	52%	66%	73%	49%	64%	52%	73%	65%	52%	58%	70%	71%	64%	73%	49%	77%	69%
64.9%		64%	56%	72%	61%	40%	67%	72%	72%	69%	64%	70%	66%	61%	68%	65%	66%	69%	70%	68%	69%	54%
43.8%		55%	38%	55%	55%	68%	27%	42%	40%	44%	55%	24%	31%	49%	31%	40%	37%	48%	48%	24%	50%	58%
58.9%		58%	61%	58%	62%	61%	64%	61%	63%	50%	62%	58%	57%	60%	51%	63%	57%	51%	60%	58%	56%	65%
64.7%		61%	73%	61%	61%	68%	65%	63%	57%	57%	68%	68%	68%	68%	68%	68%	57%	63%	57%	68%	68%	71%
48.2%		53%	53%	51%	53%	40%	41%	51%	55%	52%	53%	48%	38%	51%	41%	53%	53%	47%	44%	59%	38%	38%
71.9%		76%	67%	63%	66%	72%	56%	72%	70%	71%	63%	73%	74%	72%	61%	83%	83%	82%	82%	61%	63%	100%
47.1%		57%	48%	41%	44%	62%	41%	51%	55%	48%	51%	44%	51%	51%	33%	53%	49%	48%	45%	30%	51%	37%
57.9%		55%	58%	55%	51%	51%	65%	64%	54%	48%	78%	66%	58%	54%	70%	59%	52%	47%	50%	62%	69%	50%
82.3%		100%	77%	86%	88%	88%	83%	86%	79%	86%	82%	86%	82%	88%	82%	84%	77%	81%	86%	88%	60%	60%
54.2%		54%	50%	54%	49%	37%	72%	58%	59%	51%	67%	66%	62%	59%	52%	48%	48%	46%	42%	62%	67%	35%
65.2%		78%	63%	61%	73%	64%	63%	59%	59%	64%	68%	67%	53%	68%	53%	74%	70%	70%	61%	49%	74%	79%
53.4%		49%	57%	53%	57%	67%	48%	47%	51%	63%	68%	52%	41%	68%	53%	63%	55%	34%	54%	41%	44%	57%
79.7%		86%	87%	86%	84%	80%	74%	86%	89%	86%	47%	73%	74%	80%	90%	81%	73%	84%	88%	80%	80%	66%
66.7%		76%	69%	69%	81%	69%	71%	69%	69%	69%	81%	63%	47%	69%	77%	83%	84%	48%	47%	49%	56%	54%
64.2%		64%	62%	68%	71%	71%	52%	78%	49%	55%	76%	48%	62%	64%	70%	70%	78%	54%	56%	64%	62%	74%
65.6%		61%	65%	77%	73%	73%	55%	61%	66%	49%	73%	74%	68%	58%	73%	77%	74%	64%	54%	66%	49%	68%
62.6%		66%	66%	68%	66%	33%	64%	68%	68%	62%	66%	66%	63%	66%	61%	66%	63%	55%	56%	61%	61%	69%
54.5%		52%	47%	52%	52%	46%	55%	44%	49%	47%	52%	60%	68%	42%	66%	65%	77%	59%	53%	61%	45%	52%
68.3%		61%	74%	68%	48%	48%	87%	78%	73%	69%	49%	61%	93%	49%	74%	57%	63%	81%	86%	77%	71%	68%
33.0%		37%	41%	37%	37%	30%	51%	37%	44%	30%	22%	37%	37%	22%	22%	26%	33%	37%	13%	44%	44%	13%
68.4%		73%	72%	57%	64%	57%	65%	63%	73%	73%	69%	72%	62%	57%	74%	79%	76%	76%	66%	57%	72%	79%
64.6%		65%	58%	68%	68%	68%	52%	63%	63%	63%	81%	53%	65%	72%	65%	63%	58%	68%	59%	66%	58%	81%
66.5%		66%	60%	53%	63%	53%	60%	54%	72%	73%	65%	68%	72%	72%	72%	66%	70%	77%	59%	72%	68%	82%
73.8%		69%	82%	81%	81%	76%	56%	73%	62%	73%	77%	83%	64%	73%	73%	82%	80%	71%	77%	73%	62%	82%
53.0%		54%	62%	56%	63%	66%	45%	54%	59%	57%	55%	47%	37%	62%	52%	53%	58%	55%	56%	38%	40%	44%
95.9%		100%	100%	100%	100%	88%	85%	100%	97%	88%	100%	100%	100%	100%	100%	90%	86%	86%	94%	100%	100%	100%
52.5%		59%	52%	67%	52%	10%	60%	68%	42%	57%	44%	51%	57%	44%	51%	67%	65%	59%	34%	42%	57%	64%
46.4%		50%	51%	51%	51%	50%	51%	44%	40%	44%	51%	44%	44%	44%	47%	50%	44%	42%	35%	44%		51%
55.4%		53%	60%	65%	63%	56%	56%	62%	66%	63%	53%	49%	62%	53%	56%	50%	49%	53%	55%	42%	48%	49%
52.2%		60%	43%	58%	50%	30%	59%	51%	55%	61%	54%	61%	46%	50%	49%	55%	52%	60%	51%	38%	64%	50%
50.5%		52%	46%	51%	52%	44%	59%	70%	47%	41%	58%	51%	40%	55%	53%	44%	47%	42%	44%	51%	35%	78%
55.9%		62%	55%	48%	63%	82%	48%	48%	63%	55%	73%	48%	48%	48%	48%	68%	57%	56%	54%	48%	29%	73%
54.2%		47%	52%	55%	55%	56%	66%	61%	55%	54%	54%	59%	56%	54%	55%	51%	59%	56%	50%	54%	34%	56%
54.7%		70%	55%	61%	70%	61%	40%	53%	63%	61%	61%	50%	38%	63%	38%	61%	63%	47%	49%	52%	38%	55%
56.1%		50%	48%	63%	49%	51%	36%	51%	63%	67%	77%	49%	40%	57%	72%	88%	84%	60%	40%	32%	65%	37%
56.6%		63%	56%	63%	62%	57%	58%	58%	55%	55%	51%	58%	58%	58%	53%	55%	55%	53%	48%	58%	60%	55%
71.0%		71%	76%	73%	79%	59%	67%	77%	73%	73%	71%	69%	62%	80%	77%	76%	80%	62%	54%	57%	66%	89%
42.0%		35%	40%	48%	48%	26%	57%	48%	48%	33%	33%	52%	42%	48%	48%	45%	53%	40%	31%	48%	33%	25%
63.8%		67%	67%	67%	71%	74%	48%	61%	53%	70%	68%	67%	43%	66%	58%	74%	72%	67%	45%	67%	68%	66%
64.7%		71%	65%	70%	75%	66%	47%	65%	67%	58%	71%	65%	49%	67%	50%	74%	71%	58%	67%	65%	65%	73%
63.4%		75%	63%	66%	67%	74%	70%	75%	71%	72%	77%	63%	50%	66%	61%	58%	55%	46%	46%	51%	50%	75%
51.6%		51%	52%	50%	57%	46%	57%	46%	57%	48%	48%	57%	52%	43%	44%	62%	57%	53%	46%	57%		48%
76.2%		89%	72%	84%	71%	30%	77%	87%	87%	87%	87%	77%	85%	71%	71%	73%	84%	71%	63%	69%	79%	87%
59.2%		63%	63%	66%	63%	58%	69%	59%	62%	59%	58%	60%	53%	63%	63%	62%	67%	58%	35%	51%	54%	57%
55.6%		63%	59%	47%	47%	100%	41%	56%	63%	61%	51%	49%	49%	49%	41%	73%	68%	58%	54%	39%	49%	50%
56.8%		69%	65%	58%	67%	54%	58%	48%	44%	54%	63%	63%	40%	54%	49%	66%	59%	67%	62%	51%	48%	54%
63.0%		66%	66%	68%	65%	61%	60%	69%	61%	61%	60%	66%	60%	58%	65%	66%	73%	63%	55%	62%	69%	50%
78.1%		78%	86%	81%	78%	77%	86%	88%	54%	88%	78%	72%	74%	82%	81%	82%	78%	82%	68%	74%	78%	76%
65.4%		67%	67%	67%	67%	73%	74%	67%	61%	60%	65%	66%	68%	67%	59%	65%	64%	68%	54%	67%	63%	64%
72.4%		74%	76%	70%	79%	58%	71%	72%	72%	72%	73%	73%	73%	69%	73%	74%	73%	76%	72%	69%	72%	79%
75.4%		78%	76%	76%	78%	54%	79%	71%	76%	74%	76%	78%	72%	74%	76%	78%	76%	76%	74%	76%	89%	76%
60.8%		73%	63%	67%	72%	44%	48%	50%	67%	66%	72%	66%	34%	80%	53%	68%	63%	65%	52%	47%	60%	67%
68.4%		78%	67%	78%	65%	72%	66%	71%	66%	57%	75%	71%	62%	70%	66%	73%	69%	66%	65%	66%	67%	67%
72.3%		77%	74%	76%	77%	48%	78%	80%	68%	68%	81%	77%	74%	70%	74%	73%	74%	73%	70%	74%	69%	64%
73.8%		78%	81%	80%	80%	37%	85%	75%	81%	66%	79%	80%	65%	80%	85%	71%	77%	65%	73%	81%	66%	65%
65.0%		59%	59%	66%	68%	59%	63%	74%	59%	54%	78%	68%	46%	73%	66%	73%	67%	66%	54%	66%	66%	82%
54.0%		54%	58%	57%	57%	72%	57%	42%	61%	54%	54%	57%	56%	49%	56%	58%	61%	37%	56%	56%	31%	52%
54.8%		47%	55%	55%	60%	56%	62%	54%	55%	54%	54%	61%	58%	54%	52%	54%	58%	59%	47%	42%	54%	60%
74.2%		80%	72%	74%	75%	78%	68%	80%	78%	78%	78%	72%	70%	78%	70%	69%	67%	65%	72%	69%	75%	91%
78.5%		79%	86%	79%	79%	89%	79%	77%	71%	74%	89%	89%	77%	81%	89%	85%	76%	45%	58%	89%	89%	69%
76.3%		80%	81%	83%	88%	86%	76%	77%	72%	66%	88%	78%	73%	73%	64%	81%	75%	70%	67%	61%	77%	87%
60.0%		73%	71%	73%	73%	0%	58%	67%	49%	62%	58%	67%	67%	51%	62%	68%	56%	70%	43%	57%	62%	73%
44.3%		42%	38%	44%	42%	51%	51%	44%	42%	44%	51%	44%	48%	44%	48%	40%	36%	48%	41%	44%	44%	44%
65.6%		73%	74%	73%	73%	40%	73%	65%	65%	61%	73%	73%	66%	65%	62%	70%	69%	56%	63%	66%	59%	58%
50.1%		47%	58%	53%	58%	56%	50%	53%	47%	53%	47%	58%	39%	53%	60%	41%	43%	26%	53%	57%	47%	53%
61.1%		55%	70%	61%	62%	39%	70%	65%	60%	62%	61%	71%	60%	58%	65%	57%	57%	66%	53%	65%	66%	61%
57.3%		64%	61%	74%	74%	77%	36%	55%	59%	55%	64%	55%	31%	55%	43%	57%	64%	59%	46%	64%	52%	58%
70.4%		74%	83%	83%	68%	77%	77%	77%	67%	67%	77%	77%	51%	67%	75%	51%	62%	76%	54%	68%	67%	81%
45.6%		51%	44%	36%	45%	74%	36%	40%	41%	51%	30%	47%	51%	36%	36%	47%	51%	55%	48%	37%	51%	51%
58.2%		51%	66%	72%	72%	76%	16%	48%	44%	51%	54%	68%	38%	72%	38%	76%	74%	38%	58%	38%	72%	100%
77.7%		77%	74%	84%	84%	51%	65%	80%	84%	84%	88%	88%	65%	84%	84%	88%	82%	72%	89%	65%	72%	72%
73.1%		79%	80%	79%	79%	61%	69%	73%	75%	70%	79%	77%	70%	73%	74%	70%	71%	75%	63%	72%	74%	72%
55.0%		53%	60%	55%	55%	55%	60%	66%	55%	51%	55%	55%	54%	55%	54%	55%	48%	41%	60%	54%	42%	73%
70.0%		75%	62%	62%	62%	73%	76%	62%	73%	77%	73%	73%	73%	73%	73%	75%	67%	71%	74%	73%	73%	51%
59.1%		58%	56%	65%	72%	63%	60%	54%	58%	49%	67%	61%	62%	66%	61%	61%	60%	53%	46%	66%	47%	56%
79.0%		82%	82%	80%	82%	69%	74%	79%	72%	73%	91%	82%	72%	100%	73%	80%	77%	80%	74%	72%	73%	91%
73.8%		80%	78%	78%	84%	66%	51%	77%	66%	73%	66%	77%	64%	87%	76%	78%	78%	66%	75%	73%	72%	84%
74.6%		78%	83%	82%	73%	56%	74%	85%	85%	80%	67%	67%	79%	67%	80%	76%	83%	85%	74%	63%	60%	70%
57.2%		75%	55%	68%	61%	30%	55%	50%	55%	58%	73%	45%	58%	65%	61%	60%	59%	61%	61%	40%	50%	61%
80.8%		86%	77%	86%	86%	86%	75%	80%	86%	88%	80%	87%	68%	80%	88%	74%	77%	87%	79%	80%	73%	73%
65.0%		76%	77%	70%	69%	61%	72%	61%	75%	63%	56%	61%	73%	56%	54%	66%	56%	63%	70%	67%	69%	50%
74.6%		79%	72%	71%	73%	69%	64%	64%	77%	81%	82%	73%	76%	73%	72%	68%	67%	81%	100%	71%	82%	71%
77.4%		87%	87%	89%	89%	68%	71%	74%	69%	72%	81%	79%	80%	79%	85%	79%	82%	73%	75%	73%	79%	54%
71.4%		63%	77%	79%	79%	21%	57%	87%	72%	72%	69%	87%	72%	80%	55%	84%	83%	72%	55%	87%	80%	69%
56.6%		73%	82%	46%	67%	88%	31%	49%	46%	75%	67%	60%	27%	60%	41%	70%	82%	50%	39%	42%	45%	49%
50.5%		51%	39%	51%	53%	68%	27%	39%	43%	47%	60%	46%	39%	62%	54%	62%	60%	46%	30%	39%	82%	62%
59.4%		60%	56%	58%	60%	60%	57%	67%	62%	58%	61%	43%	58%	72%	73%	61%	72%	64%	43%	58%	61%	43%
59.1%		66%	62%	66%	66%	55%	60%	51%	58%	58%	65%	58%	50%	66%	50%	60%	61%	62%	50%	49%	63%	66%
60.5%		69%	60%	63%	49%	63%	73%	62%	59%	54%	62%	65%	55%	63%	59%	63%	61%	59%	65%	63%	50%	54%
71.0%		61%	63%	78%	63%	61%	76%	76%	53%	78%	87%	75%	75%	72%	78%	74%	61%	61%	61%	74%	87%	78%
80.0%		88%	85%	88%	73%	68%	73%	81%	88%	68%	81%	100%	68%	68%	81%	88%	88%	85%	72%	88%		68%
60.1%		67%	65%	65%	65%	41%	65%	57%	65%	54%	65%	65%	59%	58%	56%	69%	65%	47%	64%	59%	47%	64%
74.3%		74%	74%	74%	81%	90%	71%	74%	58%	74%	90%	71%	51%	68%	74%	90%	74%	70%	74%	54%	74%	100%
66.5%		63%	69%	71%	74%	63%	77%	68%	55%	56%	66%	63%	62%	63%	65%	70%	57%	68%	62%	68%	76%	81%

Model Similarity Dendrogram

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