DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Akenya C10 - Run 0a9c389...

Global Dialogues GD4 - Kenya (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

AI Safety & Robustness

Efficiency & Succinctness

Social interaction

Best Models (Coverage)

1.Claude 3.7 Sonnet
81.8%
2.GPT 5.1
81.2%
3.GPT 5
80.4%
4.Claude Sonnet 4
80.3%
5.Claude Sonnet 4.5
79.6%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

73.4% similarity

👯 Most Similar Models

Claude Haiku 4.5vsClaude Sonnet 4

87.8% 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

	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 81.8%	7th 79.1%	4th 80.3%	5th 79.6%	21st 69.5%	19th 72.3%	13th 76.8%	10th 77.7%	9th 78.7%	6th 79.3%	12th 76.8%	15th 74.4%	8th 78.9%	11th 77.3%	3rd 80.4%	2nd 81.2%	17th 73.5%	20th 70.1%	14th 74.9%	18th 72.4%	16th 73.8%
63.1%		78%	68%	76%	85%	79%	37%	51%	65%	59%	81%	43%	51%	71%	45%	74%	64%	57%	85%	50%	64%	43%
62.0%		75%	61%	65%	65%	76%	41%	60%	55%	74%	81%	66%	60%	78%	64%	78%	86%	40%	34%	61%	40%	42%
73.0%		75%	70%	73%	68%	50%	77%	79%	71%	80%	66%	82%	73%	73%	80%	73%	70%	80%	69%	70%	81%	73%
88.4%		93%	90%	94%	93%	79%	85%	92%	92%	90%	96%	90%	77%	91%	88%	89%	93%	82%	80%	84%	86%	93%
66.5%		70%	66%	65%	66%	70%	72%	76%	70%	73%	62%	62%	70%	76%	67%	63%	59%	61%	55%	65%	61%	67%
72.5%		81%	70%	74%	83%	53%	63%	72%	67%	73%	85%	69%	60%	82%	81%	86%	80%	69%	59%	68%	65%	83%
66.1%		83%	81%	82%	86%	72%	53%	69%	56%	54%	54%	52%	82%	53%	54%	80%	77%	53%	57%	56%	66%	68%
77.0%		85%	69%	74%	61%	87%	81%	68%	76%	82%	79%	83%	67%	88%	78%	88%	78%	77%	79%	86%	51%	80%
77.2%		81%	80%	82%	82%	47%	88%	85%	84%	80%	84%	82%	70%	80%	77%	34%	81%	84%	81%	81%	74%	84%
62.9%		62%	66%	64%	51%	33%	55%	59%	61%	54%	51%	71%	94%	71%	85%	48%	56%	66%	55%	88%	62%	68%
76.3%		92%	77%	71%	88%	60%	74%	64%	73%	82%	86%	63%	67%	78%	76%	92%	84%	78%	89%	63%	59%	87%
83.7%		88%	86%	97%	83%	73%	82%	90%	90%	94%	86%	84%	85%	83%	92%	84%	89%	78%	69%	65%	89%	71%
81.0%		88%	88%	89%	90%	79%	77%	69%	82%	90%	81%	72%	79%	87%	67%	89%	86%	82%	87%	65%	66%	87%
59.5%		68%	78%	66%	66%	52%	49%	62%	49%	57%	65%	57%	62%	52%	53%	60%	62%	52%	66%	63%	58%	53%
60.0%		54%	49%	62%	53%	25%	50%	59%	62%	46%	54%	67%	76%	49%	73%	60%	68%	74%	68%	76%	76%	59%
80.0%		89%	83%	76%	88%	62%	77%	89%	82%	93%	90%	89%	60%	90%	93%	90%	88%	64%	70%	75%	80%	53%
67.4%		81%	68%	74%	78%	79%	62%	60%	62%	63%	76%	65%	55%	60%	57%	74%	74%	64%	74%	65%	51%	73%
78.9%		73%	83%	79%	74%	87%	72%	87%	75%	88%	75%	87%	68%	78%	68%	77%	82%	81%	86%	88%	76%	72%
76.1%		70%	68%	71%	69%	71%	87%	75%	71%	74%	65%	87%	88%	74%	87%	67%	67%	71%	87%	85%	78%	86%
65.3%		71%	66%	63%	64%	73%	51%	74%	69%	66%	70%	63%	72%	62%	68%	64%	66%	62%	53%	70%	63%	62%
82.0%		88%	87%	92%	79%	89%	71%	87%	79%	78%	79%	82%	71%	93%	71%	83%	87%	73%	87%	94%	79%	74%
86.7%		85%	96%	89%	81%	83%	90%	90%	79%	93%	95%	80%	80%	66%	95%	88%	84%	92%	86%	90%	92%	86%
73.0%		90%	70%	84%	81%	60%	68%	75%	71%	79%	92%	67%	49%	91%	85%	91%	94%	52%	46%	36%	74%	79%
66.5%		71%	58%	63%	56%	71%	59%	76%	65%	70%	70%	64%	63%	79%	61%	57%	83%	88%	71%	54%	66%	52%
74.1%		88%	77%	83%	81%	31%	61%	70%	69%	83%	84%	82%	79%	71%	77%	77%	76%	80%	70%	74%	75%	69%
83.1%		91%	88%	88%	88%	84%	84%	78%	68%	84%	88%	84%	84%	88%	84%	87%	77%	71%	84%	84%	84%	78%
82.4%		84%		84%	86%	82%	83%	81%	82%	84%	81%	82%	81%	82%	81%	82%	83%	83%	79%	82%	82%	84%
81.8%		98%	87%	88%	96%	78%	52%	84%	94%	93%	95%	68%	80%	90%	71%	91%	96%	83%	35%	68%	79%	91%
78.3%		81%	84%	87%	88%	79%	72%	85%	86%	80%	78%	74%	78%	80%	64%	86%	82%	67%	79%	64%	82%	68%
76.8%		82%	85%	87%	80%	76%	58%	74%	86%	81%	88%	67%	64%	82%	70%	87%	85%	79%	80%	67%	80%	54%
79.8%		86%	80%	87%	80%	64%	76%	82%	80%	80%	86%	76%	73%	90%	88%	85%	87%	69%	65%	80%		83%
86.0%		71%	87%	88%	88%	88%	75%	95%	95%	95%	74%	90%	97%	87%	97%	94%	80%	66%	75%	94%	83%	87%
65.6%		79%	68%	64%	79%	86%	55%	58%	63%	63%	77%	64%	47%	63%	61%	73%	66%	70%	51%	53%	74%	63%
64.3%		66%	60%	61%	68%	82%	61%	76%	59%	80%	68%	72%	59%	76%	65%	74%	73%	45%	46%	56%	61%	43%
84.2%		83%	77%	87%	85%	44%	88%	80%	93%	90%	82%	91%	85%	93%	90%	85%	92%	94%	88%	79%	71%	91%
80.3%		88%	85%	87%	93%	68%	76%	81%	80%	83%	88%	74%	72%	90%	92%	90%	97%	69%	59%	83%	56%	76%
81.1%		91%	83%	81%	88%	66%	78%	71%	84%	73%	87%	76%	71%	83%	84%	89%	79%	87%	76%	79%	86%	91%
74.3%		85%	83%	59%	60%	82%	85%	63%	79%	64%	70%	72%	76%	59%	80%	78%	79%	70%	73%	81%	85%	78%
70.4%		86%	70%	75%	86%	59%	61%	71%	68%	73%	82%	64%	46%	86%	85%	86%	87%	49%	51%	72%	58%	63%
65.4%		66%	50%	57%	58%	68%	75%	56%	74%	58%	65%	56%	92%	53%	83%	86%	88%	56%	46%	71%	57%	59%
80.1%		84%	78%	82%	81%	53%	77%	84%	82%	83%	86%	84%	69%	83%	75%	88%	81%	86%	76%	79%	90%	81%
84.3%		93%	95%	86%	86%	84%	80%	97%	93%	96%	77%	84%	92%	63%	73%	93%	88%	87%	78%	67%	84%	74%
74.5%		90%	72%	73%	82%	92%	68%	71%	63%	69%	74%	70%	65%	71%	71%	76%	86%	77%	82%	62%	80%	70%
76.2%		65%	65%	69%	68%	71%	83%	85%	88%	80%	74%	73%	84%	84%	87%	62%	71%	72%	75%	87%	91%	67%
81.0%		83%	91%	81%	85%	80%	84%	80%	84%	79%	78%	86%	82%	75%	78%	73%	82%	76%	72%	86%	82%	84%
76.0%		73%	84%	78%	79%	82%	58%	79%	81%	76%	79%	86%	62%	84%	67%	81%	82%	78%	58%	81%	68%	79%
75.3%		73%	80%	75%	73%	76%	87%	75%	77%	82%	73%	78%	70%	79%	79%	74%	73%	66%	66%	76%	76%	74%
73.9%		100%	74%	100%	100%	71%	46%	65%	70%	68%	91%	63%	55%	74%	71%	88%	91%	88%	64%	53%	46%	73%
86.5%		86%	92%	95%	86%	63%	94%	87%	84%	90%	90%	88%	88%	84%	91%	86%	92%	88%	69%	84%	96%	83%
83.0%		90%	79%	84%	82%	88%	91%	84%	73%	89%	72%	82%	86%	92%	80%	95%	86%	78%	72%	72%	77%	91%
80.3%		75%	73%	70%	69%	78%	85%	72%	69%	82%	83%	94%	69%	77%	93%	84%	87%	86%	85%	93%	76%	86%
72.2%		83%	80%	76%	84%	10%	70%	65%	82%	76%	85%	64%	57%	72%	67%	82%	77%	83%	76%	75%	72%	80%
70.8%		87%	74%	86%	86%	78%	68%	62%	78%	78%	84%	80%	62%	84%	57%	77%	72%	43%	80%	68%	38%	44%
71.9%		86%	73%	70%	77%	64%	62%	76%	75%	84%	73%	73%	73%	87%	71%	80%	85%	50%	51%	70%	77%	53%
87.9%		91%	94%	94%	87%	85%	81%	86%	87%	87%	93%	89%	87%	93%	84%	83%	94%	83%	94%	87%		79%
85.3%		94%	85%	88%	86%	74%	88%	83%	93%	84%	87%	84%	82%	87%	82%	87%	95%	87%	86%	67%	86%	87%
67.6%		65%	63%	67%	67%	35%	64%	79%	82%	78%	75%	71%	59%	71%	65%	78%	75%	62%	60%	69%		68%
85.5%		91%	94%	85%	86%	75%	85%	72%	86%	87%	82%	83%	84%	86%	86%	87%	93%	92%	89%	83%		85%
66.3%		85%	70%	67%	80%	69%	59%	73%	73%	79%	81%	74%	56%	78%	62%	80%	83%	45%	36%	59%	56%	27%
72.5%		65%	75%	72%	67%	49%	87%	77%	83%	66%	68%	79%	79%	74%	75%	68%	72%	77%	60%	88%	76%	66%
77.2%		77%	85%	81%	74%	44%	72%	91%	78%	63%	70%	76%	81%	87%	94%	75%	65%	92%	80%	89%	65%	83%
71.1%		80%	78%	82%	82%	82%	49%	65%	78%	70%	83%	51%	68%	79%	48%	79%	75%	63%	67%	66%	74%	74%
83.2%		89%	75%	92%	84%	81%	88%	83%	87%	84%	91%	88%	77%	91%	85%	88%	93%	67%	68%	98%	61%	78%
77.9%		84%	76%	76%	79%	63%	76%	72%	86%	87%	84%	71%	69%	84%	90%	85%	86%	73%	84%	73%	58%	80%
76.0%		88%	73%	84%	84%	68%	74%	72%	71%	76%	88%	63%	57%	84%	90%	83%	94%	60%	80%	81%	53%	73%
75.6%		82%	85%	72%	78%	74%	67%	77%	86%	95%	88%	71%	64%	81%	72%	80%	83%	69%	73%	75%	23%	92%
82.5%		94%	94%	90%	97%	85%	60%	87%	100%	87%	88%	67%	74%	87%	63%	85%	94%	76%	78%	60%	81%	85%
80.2%		92%	91%	85%	77%	67%	82%	84%	67%	80%	78%	75%	76%	81%	85%	84%	79%	76%	81%	88%	79%	78%
74.7%		76%	73%	67%	75%	71%	76%	78%	76%	74%	77%	82%	77%	77%	78%	79%	83%	65%	69%	70%	70%	76%
66.0%		81%	77%	86%	78%	61%	63%	60%	39%	54%	65%	75%	63%	60%	63%	79%	76%	62%	75%	69%	51%	48%
83.3%		86%	85%	88%	87%	78%	91%	92%	87%	86%	90%	89%	80%	91%	88%	89%	83%	80%	42%	86%	64%	88%
81.5%		81%	87%	86%	86%	19%	83%	90%	93%	83%	77%	91%	85%	83%	81%	76%	84%	90%	80%	86%	86%	84%
83.3%		92%	88%	88%	90%	56%	85%	88%	92%	88%	74%	94%	85%	78%	80%	88%	83%	95%	80%	83%	71%	71%
67.9%		61%	75%	68%	74%	72%	74%	74%	77%	72%	67%	65%	74%	70%	70%	57%	68%	49%	44%	75%	69%	71%
82.0%		84%	90%	87%	82%	57%	86%	79%	76%	84%	84%	75%	83%	87%	87%	85%	87%	84%	81%	77%	81%	86%
80.5%		74%	83%	85%	74%	49%	93%	91%	83%	84%	68%	91%	87%	83%	90%	77%	73%	78%	75%	86%	85%	82%
87.6%		86%	90%	93%	85%	68%	87%	92%	90%	91%	80%	89%	90%	86%	92%	87%	84%	84%	97%	87%	89%	93%
78.0%		89%	91%	95%	91%	70%	59%	75%	89%	72%	90%	65%	75%	91%	67%	87%	80%	74%	78%	74%	64%	63%
70.5%		91%	77%	78%	86%	54%	69%	62%	71%	71%	87%	65%	65%	74%	73%	89%	77%	74%	63%	61%	10%	83%
84.8%		85%	96%	90%	79%	93%	82%	87%	81%	89%	83%	91%	84%	93%	86%	81%	84%	71%	68%	87%	82%	88%
83.3%		84%	89%	81%	93%	76%	72%	79%	84%	84%	84%	87%	90%	89%	86%	95%	85%	85%	81%	78%	73%	74%
80.3%		85%	89%	93%	82%	91%	72%	89%	85%	88%	84%	87%	93%	87%	69%	75%	80%	70%	65%	66%	68%	68%
79.0%		82%	86%	87%	89%	75%	76%	82%	86%	79%	83%	82%	68%	83%	68%	75%	86%	77%	72%	64%	78%	81%
83.0%		95%	85%	88%	86%	69%	88%	92%	80%	89%	88%	84%	86%	73%	76%	75%	83%	84%	70%	81%	85%	86%
79.7%		72%	83%	86%	74%	83%	78%	84%	81%	81%	78%	87%	72%	80%	87%	81%	77%	78%	63%	86%	86%	76%
77.0%		85%	75%	78%	80%	79%	75%	65%	77%	78%	82%	66%	69%	80%	87%	89%	82%	73%	78%	66%	69%	83%
77.9%		80%	83%	81%	80%	80%	86%	75%	82%	82%	74%	85%	82%	75%	84%	81%	72%	73%	67%	87%	78%	48%
69.2%		68%	76%	68%	64%	64%	66%	69%	69%	76%	66%	73%	65%	68%	77%	70%	67%	65%	72%	69%	71%	70%
71.5%		80%	74%	87%	63%	84%	64%	69%	86%	76%	76%	74%	56%	82%	67%	73%	81%	61%	30%	81%	59%	78%
79.9%		97%	92%	92%	83%	88%	43%	65%	85%	75%	82%	92%	98%	67%	56%	77%	84%	77%	77%	92%	77%	79%
74.6%		85%	71%	76%	75%	81%	58%	76%	67%	78%	79%	67%	74%	80%	72%	78%	76%	73%	73%	71%	78%	78%
63.4%		49%	68%	73%	53%	87%	39%	56%	64%	72%	63%	86%	62%	54%	50%	86%	86%	54%	66%	70%	53%	41%
56.5%		90%	71%	69%	81%	13%	57%	45%	34%	55%	54%	47%	59%	55%	58%	74%	63%	52%	43%	65%		45%
82.0%		86%	89%	87%	87%	82%	59%	89%	89%	88%	87%	85%	90%	93%	73%	81%	79%	91%	85%	54%	64%	83%
63.5%		55%	63%	75%	58%	44%	80%	71%	64%	64%	56%	66%	76%	56%	65%	59%	63%		62%	68%	66%	60%
87.0%		91%	93%	91%	93%	79%	83%	77%	89%	87%	90%	87%	83%	93%	92%	92%	89%	95%	82%	79%	71%	91%
78.0%		82%	74%	87%	87%	34%	86%	77%	90%	69%	72%	82%	80%	84%	91%	75%	71%	80%	79%	87%	74%	78%
74.7%		78%	72%	70%	74%	32%	94%	95%	82%	78%	57%	85%	87%	61%	89%	71%	74%	89%	54%	86%	68%	72%
78.5%		87%	78%	82%	85%	65%	57%	81%	81%	88%	87%	83%	72%	87%	80%	87%	83%	63%	69%	76%	87%	71%
85.5%		81%	91%	90%	74%	84%	93%	89%	87%	82%	87%	83%	88%	94%	89%	84%	91%	76%	72%	87%	84%	89%
73.0%		66%	75%	74%	71%	10%	81%	74%	75%	86%	76%	79%	89%	72%	87%	90%	88%	61%	75%	76%	62%	66%
87.2%		88%	86%	86%	88%	78%	92%	78%	91%	89%	87%	87%	91%	82%	94%	86%	87%	93%	81%	88%	90%	89%
80.2%		87%	87%	88%	88%	92%	73%	80%	82%	79%	84%	72%	92%	63%	78%	83%	77%	69%	57%	86%	86%	82%
78.0%		88%	91%	87%	87%	85%	44%	60%	78%	66%	90%	82%	82%	70%	79%	94%	96%	91%	84%	54%	71%	60%
78.9%		85%	88%	86%	84%	83%	55%	81%	82%	79%	89%	69%	81%	86%	64%	88%	93%	82%	67%	59%	80%	76%
80.0%		81%	65%	85%	86%	94%	69%	87%	73%	87%	90%	89%	87%	74%	76%	82%	82%	54%	84%	71%	80%	85%
82.6%		90%	88%	91%	90%	60%	80%	84%	90%	84%	89%	93%	63%	92%	78%	90%	91%	85%	33%	86%	90%	88%
61.9%		67%	58%	59%	75%	83%	41%	60%	58%	64%	77%	60%	56%	76%	77%	73%	73%	52%	27%	52%	73%	38%
74.7%		66%	75%	84%	67%	76%	84%	84%	84%	64%	70%	80%	65%	79%	88%	78%	75%	78%	61%	85%	65%	61%
80.2%		89%	84%	76%	89%	94%	75%	75%	80%	82%	88%	81%	65%	78%	75%	86%	79%	81%	77%	69%	86%	76%
81.3%		76%	81%	79%	76%	84%	79%	85%	84%	88%	75%	86%	83%	84%	88%	78%	85%	73%	76%	81%	90%	77%
79.0%		92%	84%	82%	90%	88%	65%	74%	72%	81%	87%	61%	43%	90%	72%	89%	96%	85%	73%	54%	86%	94%
84.9%		89%	77%	83%	82%	87%	81%	90%	86%	83%	86%	87%	84%	85%	86%	88%	86%	81%	88%	86%	84%	84%
85.2%		88%	82%	89%	86%	76%	85%	76%	75%	95%	88%	79%	81%	90%	95%	86%	91%	92%	86%	74%	88%	87%
90.2%		97%	97%	90%	97%	87%	78%	84%	94%	92%	93%	89%	97%	90%	84%	97%	91%	89%	89%	96%	84%	80%
77.9%		81%	77%	76%	71%	54%	86%	84%	76%	77%	71%	91%	87%	80%	91%	67%	81%	71%	73%	96%	76%	70%

Model Similarity Dendrogram

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