DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Country%3Aindia Ctx - Run a43b1c7...

Global Dialogues GD4 - India (with context)

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

TAGS:

Global Dialogues Gd4

Factual Accuracy & Hallucination

Instruction Following & Prompt Adherence

Social interaction

AI Safety & Robustness

Economic Disruption & Reskilling Advice

Cultural Competency

Best Models (Coverage)

1.Claude Sonnet 4
84.9%
2.Claude Sonnet 4.5
84.9%
3.GPT 5.1
84.6%
4.GPT 4.1
84.3%
5.Mistral Medium 3
84.1%

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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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	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 Mini	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct	Grok 4.1 Fast
Score		15th 81.1%	9th 83.0%	1st 84.9%	2nd 84.9%	8th 83.3%	20th 77.0%	11th 82.6%	16th 81.0%	5th 84.1%	4th 84.3%	12th 82.4%	21st 76.4%	6th 84.0%	17th 80.9%	10th 82.9%	3rd 84.6%	14th 81.4%	18th 80.0%	19th 78.9%	13th 81.7%	7th 83.8%
81.6%			71%	87%	86%	77%	56%	82%	83%	86%	87%	81%	57%	90%	85%	88%	83%	92%	88%	83%	82%	87%
79.3%			86%	84%	86%	88%	54%	69%	64%	90%	93%	68%	60%	93%	63%	87%	89%	87%	87%	80%	68%	89%
80.2%			82%	83%	82%	81%	72%	66%	87%	81%	88%	84%	63%	89%	81%	85%	84%	82%	80%	71%	76%	86%
86.1%			94%	88%	96%	69%	89%	94%	86%	81%	91%	80%	83%	87%	85%	74%	92%	74%	92%	88%	87%	93%
78.9%			83%	84%	82%	81%	72%	86%	83%	83%	81%	75%	72%	82%	74%	82%	82%	55%	76%	79%	84%	82%
90.5%			89%	94%	90%	92%	85%	95%	90%	91%	92%	89%	89%	91%	92%	92%	92%	93%	90%	84%	89%	91%
65.5%		75%	90%	81%	80%	63%	54%	52%	68%	68%	61%	54%	54%	60%	63%	73%	70%	55%	52%	57%	73%	73%
73.8%			71%	73%	70%	81%	55%	76%	78%	71%	74%	72%	90%	78%	67%	72%	75%	79%	83%	70%	68%	74%
83.1%			92%	91%	90%	72%	91%	80%	83%	79%	78%	80%	67%	88%	81%	73%	90%	88%	75%	88%	89%	87%
57.2%			51%	52%	53%	32%	65%	46%	70%	76%	52%	51%	62%	50%	60%	48%	57%	81%	64%	55%	66%	53%
89.6%			89%	94%	94%	89%	83%	93%	87%	90%	94%	87%	81%	95%	91%	91%	96%	85%	93%	78%	89%	94%
90.3%			80%	90%	91%	91%	95%	92%	87%	92%	91%	91%	84%	91%	91%	89%	92%	93%	90%	94%	91%	91%
88.2%			88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	89%	89%	89%	89%	88%	88%	88%
59.3%			80%	87%	65%	43%	56%	45%	38%	58%	58%	67%	65%	48%	56%	55%	70%	72%	32%	54%	60%	77%
85.8%			88%	87%	89%	85%	72%	84%	90%	90%	88%	88%	72%	90%	78%	87%	86%	89%	85%	90%	90%	87%
83.5%			92%	90%	84%	84%	81%	87%	75%	81%	84%	88%	57%	81%	92%	87%	85%	84%	85%	80%	86%	87%
85.6%			96%	95%	92%	88%	71%	96%	74%	91%	89%	83%	74%	82%	84%	86%	90%	85%	85%	79%	80%	93%
86.0%			81%	83%	86%	88%	83%	84%	95%	92%	87%	85%	75%	88%	88%	78%	88%	82%	89%	89%	89%	90%
91.9%			89%	94%	95%	93%	88%	90%	91%	87%	95%	93%	89%	96%	87%	92%	95%	90%	92%	91%	95%	96%
70.1%		71%	73%	69%	72%	72%	56%	73%	71%	75%	76%	69%	66%	68%	78%	65%	74%	72%	66%	77%	71%	59%
89.0%		93%	91%	90%	94%	89%	91%	93%	88%	90%	90%	90%	76%	88%	88%	89%	91%	89%	85%	89%	89%	87%
90.7%			96%	94%	97%	96%	93%	92%	73%	95%	89%	96%	96%	78%	94%	96%	97%	93%	70%	77%	96%	96%
91.5%			87%	95%	98%	95%	83%	89%	86%	95%	94%	90%	89%	94%	92%	92%	95%	96%	93%	84%	89%	94%
74.2%			84%	71%	67%	70%	68%	73%	78%	67%	77%	80%	66%	82%	65%	82%	81%	82%	82%	55%	72%	82%
80.2%			75%	87%	78%	73%	89%	84%	73%	82%	83%	83%	85%	86%	86%	72%	74%	68%	78%	83%	86%	80%
88.6%		92%	94%	93%	94%	92%	94%	76%	82%	92%	93%	92%	92%	92%	92%	88%	86%	79%	65%	92%	92%	89%
82.5%		79%	82%	82%	83%	84%	77%	90%	90%	84%	81%	74%	74%	85%	78%	89%	88%	78%	82%	74%	95%	83%
75.4%			62%	75%	79%	76%	71%	72%	71%	75%	81%	81%	76%	79%	77%	67%	85%	77%	79%	68%	79%	79%
80.1%		89%	85%	81%	87%	76%	68%	80%	92%	74%	89%	86%	78%	88%	74%	82%	83%	72%	84%	74%	68%	73%
85.8%			71%	93%	95%	92%	66%	85%	87%	87%	93%	91%	62%	91%	90%	81%	89%	90%	87%	88%	90%	88%
91.1%			94%	92%	91%	93%	88%	93%	79%	95%	92%	92%	86%	90%	94%	90%	89%	93%	93%	92%	95%	91%
85.9%			90%	93%	89%	95%	81%	82%	85%	86%	88%	92%	81%	83%	85%	89%	87%	79%	73%	90%	84%	85%
82.8%			89%	89%	88%	96%	67%	78%	82%	90%	88%	84%	78%	84%	62%	91%	94%	86%	83%	59%	71%	96%
82.3%			78%	89%	91%	93%	63%	85%	74%	91%	84%	84%	44%	87%	84%	95%	94%	86%	94%	53%	85%	93%
81.3%			87%	92%	70%	75%	75%	89%	85%	91%	91%	87%	76%	76%	82%	60%	64%	84%	78%	85%	90%	89%
90.1%			92%	91%	90%	89%	91%	94%	83%	92%	89%	93%	92%	92%	91%	87%	86%	90%	87%	92%	94%	87%
86.3%			85%	95%	93%	89%	83%	75%	80%	88%	89%	83%	77%	76%	88%	90%	90%	91%	89%	87%	89%	90%
85.5%			86%	85%	84%	87%	87%	87%	87%	85%	83%	85%	87%	86%	87%	84%	85%	84%	84%	87%	87%	84%
92.4%			93%	94%	94%	88%	83%	91%	86%	96%	94%	93%	87%	96%	95%	95%	95%	97%	94%	86%	94%	97%
86.8%			87%	91%	90%	87%	87%	87%	87%	84%	87%	87%	87%	87%	87%	87%	84%	82%	87%	87%	87%	87%
85.8%			95%	92%	85%	89%	76%	95%	88%	90%	87%	91%	51%	89%	90%	85%	83%	88%	91%	73%	90%	88%
82.2%			88%	89%	89%	87%	76%	84%	84%	85%	79%	87%	95%	69%	75%	76%	82%	69%	85%	83%	79%	83%
79.8%			95%	79%	85%	96%	52%	84%	91%	78%	82%	82%	66%	82%	58%	90%	87%	75%	81%	71%	73%	88%
72.6%			62%	76%	68%	76%	79%	81%	90%	75%	80%	62%	69%	83%	82%	64%	67%	72%	63%	72%	61%	69%
75.2%			89%	85%	81%	60%	90%	90%	71%	69%	88%	64%	60%	80%	73%	49%	77%	80%	59%	70%	83%	85%
81.0%			71%	85%	88%	73%	73%	96%	89%	91%	86%	75%	80%	85%	78%	65%	81%	68%	80%	97%	88%	70%
76.1%			81%	77%	64%	82%	80%	72%	79%	76%	76%	76%	68%	79%	77%	67%	74%	75%	81%	79%	74%	86%
90.6%			83%	99%	95%	98%	83%	91%	89%	92%	93%	98%	71%	92%	96%	98%	82%	85%	82%	98%	91%	97%
89.8%			89%	87%	90%	96%	93%	90%	68%	82%	91%	91%	91%	96%	96%	91%	95%	84%	94%	82%	96%	94%
89.0%			86%	91%	88%	89%	81%	87%	85%	86%	93%	90%	91%	92%	86%	92%	89%	93%	91%	91%	91%	88%
91.2%			90%	90%	91%	93%	94%	91%	89%	93%	93%	92%	91%	93%	91%	90%	90%	86%	90%	93%	92%	91%
80.0%			80%	84%	89%	82%	79%	90%	69%	79%	92%	88%	67%	84%	81%	85%	87%	82%	73%	60%	70%	80%
78.0%			82%	86%	87%	87%	57%	77%	83%	78%	80%	74%	74%	81%	74%	71%	83%	79%	79%	74%	74%	79%
67.9%			72%	72%	71%	96%	54%	61%	59%	59%	73%	57%	71%	71%	52%	87%	86%	38%	84%	60%	56%	79%
92.0%			92%	92%	92%	92%	91%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
81.3%		85%	76%	85%	85%	86%	75%	74%	84%	87%	86%	78%	74%	87%	75%	87%	86%	83%	88%	71%	76%	80%
60.7%		57%	54%	58%	53%	67%	48%	67%	79%	69%	60%	61%	27%	62%	68%	75%	91%	68%	56%	49%	53%	52%
88.0%			88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
82.1%			85%	84%	93%	81%	64%	86%	81%	92%	89%	81%	42%	91%	81%	95%	94%	82%	75%	65%	95%	86%
82.0%			88%	84%	92%	59%	83%	87%	69%	88%	79%	85%	87%	85%	87%	89%	95%	55%	76%	78%	90%	85%
79.9%			91%	75%	66%	85%	72%	81%	80%	84%	87%	84%	75%	87%	87%	84%	88%	75%	71%	89%	60%	77%
82.2%			68%	95%	90%	86%	65%	90%	85%	95%	90%	74%	69%	91%	78%	66%	77%	83%	87%	91%	72%	91%
86.0%			83%	93%	85%	91%	79%	89%	79%	90%	93%	81%	79%	89%	79%	97%	88%	85%	92%	79%	79%	89%
91.2%			89%	95%	96%	97%	86%	94%	86%	96%	95%	87%	82%	97%	91%	89%	92%	91%	90%	86%	91%	94%
89.2%			87%	92%	92%	92%	78%	85%	92%	90%	93%	86%	90%	93%	92%	87%	94%	90%	87%	86%	85%	93%
68.2%			61%	63%	69%	78%	62%	71%	68%	77%	65%	71%	52%	76%	59%	90%	75%	74%	70%	58%	60%	64%
74.7%			80%	73%	74%	75%	66%	72%	75%	84%	78%	78%	64%	85%	66%	82%	81%	81%	76%	64%	67%	73%
72.9%			83%	79%	72%	66%	76%	76%	73%	73%	70%	79%	66%	63%	74%	84%	78%	64%	65%	69%	75%	73%
73.1%			70%	76%	82%	81%	79%	73%	74%	73%	76%	79%	69%	67%	75%	77%	87%	82%	10%	73%	81%	79%
76.8%			92%	73%	78%	64%	80%	74%	40%	70%	77%	94%	80%	71%	79%	90%	74%	72%	84%	84%	77%	82%
79.5%			79%	79%	88%	79%	80%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%
78.1%			86%	84%	85%	45%	86%	78%	92%	70%	77%	70%	78%	76%	78%	91%	75%	84%	81%	69%	84%	73%
86.2%			86%	97%	95%	94%	83%	93%	83%	85%	81%	83%	79%	83%	83%	69%	86%	89%	94%	83%	85%	92%
78.5%			68%	84%	80%	90%	71%	70%	89%	95%	77%	80%	70%	86%	80%	82%	78%	69%	86%	61%	72%	81%
82.8%			85%	81%	83%	80%	92%	85%	74%	90%	82%	79%	82%	80%	87%	81%	83%	80%	83%	82%	86%	81%
85.8%			90%	86%	93%	79%	91%	93%	86%	85%	85%	84%	84%	83%	84%	84%	86%	83%	79%	87%	89%	85%
83.1%			95%	86%	91%	78%	94%	84%	95%	79%	79%	83%	79%	74%	88%	78%	78%	80%	73%	78%	95%	75%
90.5%			92%	92%	96%	90%	84%	95%	95%	95%	90%	96%	67%	91%	86%	87%	93%	91%	87%	98%	94%	91%
87.3%			84%	89%	90%	93%	82%	87%	86%	84%	89%	83%	88%	88%	87%	94%	88%	89%	90%	80%	87%	87%
92.0%			92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
83.3%			79%	84%	87%	79%	79%	84%	86%	80%	93%	79%	79%	94%	79%	88%	97%	84%	74%	79%	79%	84%
88.8%			91%	87%	89%	91%	85%	90%	90%	91%	93%	91%	84%	90%	80%	91%	89%	91%	83%	87%	91%	91%
81.2%		82%	83%	90%	87%	87%	73%	85%	90%	90%	87%	83%	67%	85%	72%	86%	81%	75%	69%	75%	75%	84%
88.7%			95%	90%	90%	90%	87%	95%	79%	94%	79%	88%	96%	78%	91%	93%	92%	85%	91%	77%	91%	93%
81.4%			87%	76%	78%	81%	81%	82%	68%	87%	84%	83%	85%	83%	82%	81%	88%	82%	81%	81%	80%	77%
88.3%			91%	87%	90%	85%	83%	86%	79%	91%	90%	85%	91%	90%	90%	89%	90%	93%	92%	82%	90%	91%
81.3%			83%	89%	82%	83%	83%	89%	84%	87%	86%	85%	70%	90%	70%	84%	78%	80%	81%	70%	70%	82%
76.8%			89%	68%	82%	83%	74%	79%	75%	84%	72%	84%	80%	71%	73%	77%	83%	71%	60%	83%	76%	72%
81.1%			92%	80%	92%	85%	65%	74%	93%	84%	83%	78%	78%	83%	74%	88%	83%	80%	80%	74%	70%	86%
81.9%			81%	81%	81%	96%	61%	74%	76%	88%	96%	95%	79%	87%	82%	77%	82%	82%	84%	71%	88%	77%
71.1%			68%	70%	73%	85%	63%	67%	63%	70%	71%	75%	80%	79%	64%	69%	69%	79%	68%	61%	65%	83%
78.8%			78%	92%	82%	91%	75%	64%	76%	86%	75%	77%	78%	88%	63%	78%	96%	88%	70%	63%	73%	82%
82.0%		88%	75%	85%	88%	96%	82%	67%	84%	87%	73%	78%	82%	82%	73%	85%	76%	74%	74%	94%	93%	86%
87.0%			77%	92%	95%	87%	83%	82%	77%	82%	96%	89%	87%	95%	87%	84%	93%	86%	89%	87%	86%	87%
58.1%			56%	59%	59%	58%	75%	70%	55%	51%	51%	53%	57%	53%	61%	75%	63%	53%	46%	53%	57%	58%
83.9%			87%	88%	89%	77%	76%	88%	81%	96%	93%	90%	90%	94%	87%	68%	65%	89%	89%	77%	77%	77%
79.9%			82%	82%	83%	55%	84%	82%	90%	65%	77%	91%	91%	84%	92%	79%	77%	68%	71%	78%	87%	80%
81.3%			78%	80%	81%	84%	72%	79%	81%	83%	82%	81%	66%	81%	83%	81%	84%	87%	89%	88%	81%	84%
84.8%			88%	91%	91%	93%	55%	94%	84%	92%	93%	85%	63%	91%	71%	87%	91%	88%	87%	86%	77%	89%
86.1%			91%	94%	86%	89%	83%	83%	83%	92%	93%	86%	88%	81%	76%	90%	87%	89%	81%	85%	88%	76%
80.7%			78%	88%	86%	90%	70%	84%	93%	91%	86%	92%	63%	93%	78%	60%	83%	73%	70%	85%	81%	70%
86.2%		90%	83%	83%	89%	88%	75%	88%	87%	88%	86%	85%	80%	90%	90%	94%	95%	89%	74%	80%	81%	95%
89.0%		86%	94%	94%	95%	94%	84%	90%	92%	89%	91%	75%	94%	88%	94%	87%	93%	79%	73%	95%	97%	85%
84.1%			78%	86%	86%	84%	67%	76%	81%	85%	86%	91%	96%	90%	79%	92%	86%	92%	85%	70%	80%	93%
87.6%			87%	84%	89%	85%	89%	84%	88%	87%	86%	89%	86%	89%	87%	92%	90%	90%	95%	91%	86%	79%
85.2%			90%	85%	89%	88%	76%	87%	71%	88%	89%	88%	88%	88%	88%	86%	91%	83%	84%	70%	86%	88%
76.9%			85%	70%	81%	79%	68%	75%	79%	80%	83%	83%	80%	86%	82%	80%	80%	66%	73%	67%	59%	82%
73.1%			65%	74%	84%	88%	54%	73%	63%	79%	86%	66%	54%	85%	50%	87%	84%	87%	76%	66%	54%	87%
71.9%		63%	63%	82%	63%	89%	78%	87%	82%	75%	76%	86%	54%	82%	81%	66%	64%	64%	62%	63%	72%	58%
82.7%			82%	88%	86%	75%	68%	88%	92%	85%	84%	86%	84%	80%	75%	91%	82%	82%	77%	87%	87%	75%
81.7%			74%	88%	83%	87%	86%	72%	78%	89%	77%	73%	70%	72%	95%	83%	81%	81%	82%	88%	84%	90%
85.6%			90%	87%	86%	89%	79%	88%	81%	80%	90%	88%	54%	88%	89%	85%	93%	94%	90%	82%	85%	94%
86.9%		86%	80%	89%	87%	90%	83%	94%	77%	86%	91%	89%	92%	91%	81%	92%	77%	89%	82%	92%	84%	92%
89.3%			91%	92%	92%	94%	88%	95%	89%	88%	91%	82%	81%	94%	89%	92%	93%	88%	86%	84%	84%	92%
85.4%			82%	85%	84%	84%	73%	84%	89%	85%	85%	82%	91%	82%	93%	82%	86%	86%	86%	92%	96%	82%
81.0%			79%	81%	88%	79%	92%	80%	78%	81%	79%	79%	85%	79%	79%	79%	79%	79%	79%	77%	89%	79%