DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Country%3Aindia Ctx - Run c704736...

Global Dialogues GD6 - India (with context)

DTEF: Predict response distributions for India. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Economics & Finance

Social interaction

Best Models (Coverage)

1.Claude Sonnet 4.5
85.7%
2.Claude Sonnet 4
85.6%
3.GPT 4.1
85.1%
4.Claude Haiku 4.5
84.1%
5.Gemini 2.5 Flash
83.9%

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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 Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o Mini	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct
Score		4th 84.1%	2nd 85.6%	1st 85.7%	5th 83.9%	13th 76.2%	5th 83.9%	7th 83.7%	3rd 85.1%	8th 83.5%	12th 78.3%	11th 81.4%	10th 81.5%	9th 82.1%
64.2%		80%	69%	71%	71%	32%	73%	77%	73%	68%	36%	58%	56%	71%
84.7%		80%	86%	86%	88%	86%	81%	92%	90%	84%	80%	82%	84%	82%
82.2%		81%	92%	86%	95%	78%	80%	88%	83%	78%	74%	80%	78%	76%
88.1%		87%	87%	87%	86%	87%	92%	94%	83%	93%	87%	81%	92%	89%
81.6%		93%	87%	87%	91%	64%	79%	82%	82%	89%	81%	68%	76%	82%
85.9%		91%	92%	92%	89%	79%	87%	86%	80%	87%	93%	81%	78%	82%
80.9%		79%	84%	89%	85%	76%	82%	79%	81%	84%	81%	66%	82%	84%
84.6%		89%	84%	84%	94%	63%	87%	84%	90%	91%	72%	94%	76%	92%
93.4%		95%	99%	95%	94%	97%	95%	91%	90%	91%	98%	89%	89%	91%
82.2%		88%	84%	88%	79%	71%	76%	88%	92%	78%	75%	87%	88%	75%
82.3%		86%	86%	82%	93%	60%	73%	81%	91%	86%	92%	86%	72%	82%
86.3%		96%	85%	78%	79%	82%	86%	94%	88%	91%	92%	80%	95%	76%
82.6%		82%	90%	92%	91%	64%	89%	87%	84%	79%	80%	80%	77%	79%
91.1%		92%	91%	94%	89%	93%	93%	95%	95%	94%	76%	88%	90%	94%
75.5%		87%	79%	75%	90%	63%	87%	71%	85%	62%	76%	51%	73%	82%
87.2%		97%	97%	98%	99%	10%	87%	88%	92%	96%	90%	93%	89%	98%
78.5%		71%	81%	78%	78%	83%	62%	76%	86%	86%	82%	88%	80%	69%
69.3%		80%	89%	66%	62%	76%	63%	59%	65%	80%	65%	61%	66%	69%
65.1%		67%	68%	67%	83%	59%	69%	77%	72%	73%	42%	59%	45%	65%
62.8%		86%	76%	75%	69%	50%	71%	56%	53%	51%	51%	51%	56%	72%
85.0%		85%	84%	88%	86%	74%	86%	89%	91%	85%	90%	86%	78%	83%
94.0%		94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%
76.5%		82%	78%	87%	84%	79%	83%	77%	89%	76%	47%	60%	76%	77%
80.4%		85%	88%	88%	83%	75%	84%	77%	81%	88%	62%	83%	79%	72%
70.8%		87%	82%	87%	71%	49%	86%	75%	71%	61%	55%	71%	62%	63%
78.7%		83%	83%	74%	49%	88%	84%	82%	70%	73%	72%	94%	82%	89%
88.2%		91%	86%	83%	92%	94%	88%	94%	87%	86%	86%	86%	88%	86%
81.8%		82%	92%	91%	87%	79%	79%	83%	86%	79%	76%	76%	76%	78%
88.8%		93%	82%	84%	87%	97%	90%	84%	92%	84%	96%	91%	88%	86%
76.8%		87%	84%	85%	72%	58%	81%	84%	87%	76%	72%	87%	72%	54%
90.5%		90%	93%	97%	83%	88%	92%	88%	90%	93%	93%	85%	92%	93%
82.3%		89%	93%	93%	81%	69%	79%	89%	95%	89%	66%	75%	73%	79%
75.4%		82%	83%	84%	87%	56%	82%	75%	81%	84%	72%	74%	63%	57%
91.5%		88%	86%	92%	84%	95%	91%	93%	97%	92%	94%	91%	94%	93%
86.3%		91%	91%	89%	86%	85%	88%	86%	89%	86%	73%	86%	82%	90%
86.5%		82%	89%	88%	86%	82%	86%	89%	90%	84%	87%	87%	89%	86%
79.1%		75%	72%	72%	73%	87%	77%	62%	74%	83%	91%	91%	94%	77%
91.1%		90%	91%	93%	89%	92%	94%	93%	93%	90%	90%	90%	89%	90%
77.5%		77%	75%	77%	73%	75%	79%	77%	79%	79%	79%	80%	79%	79%
76.2%		74%	82%	85%	81%	66%	78%	79%	77%	74%	58%	78%	82%	77%
71.1%		68%	74%	79%	72%	69%	67%	71%	77%	70%	73%	71%	67%	66%
80.7%		68%	90%	89%	89%	84%	69%	89%	72%	76%	79%	69%	89%	86%
75.5%		66%	78%	70%	89%	83%	83%	81%	71%	80%	51%	86%	72%	72%
88.7%		85%	95%	95%	94%	82%	94%	90%	94%	92%	65%	91%	86%	90%
90.5%		95%	87%	93%	91%	88%	95%	92%	94%	95%	85%	85%	92%	85%
80.8%		88%	80%	91%	88%	53%	76%	90%	93%	91%	80%	70%	78%	73%
90.2%		90%	89%	91%	87%	95%	91%	89%	89%	90%	90%	90%	90%	91%
94.6%		91%	96%	97%	94%	92%	93%	97%	94%	96%	93%	94%	98%	95%
93.2%		96%	96%	96%	93%	88%	95%	91%	95%	92%	89%	89%	96%	95%
87.0%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%
78.2%		79%	74%	80%	84%	61%	77%	73%	79%	82%	87%	80%	80%	80%
77.3%		76%	81%	85%	77%	71%	74%	78%	88%	76%	82%	76%	70%	71%
79.2%		86%	73%	73%	83%	74%	84%	80%	72%	82%	78%	74%	91%	79%
77.3%		77%	86%	86%	78%	75%	85%	75%	91%	73%	70%	74%	73%	62%
86.6%		90%	91%	90%	89%	76%	88%	82%	90%	86%	86%	86%	86%	86%
83.8%		91%	92%	91%	84%	47%	89%	90%	92%	89%	88%	73%	80%	84%
85.3%		89%	91%	96%	86%	57%	88%	83%	87%	87%	84%	88%	86%	87%
74.9%		84%	75%	80%	83%	62%	80%	85%	79%	69%	71%	68%	65%	73%
91.9%		95%	94%	91%	95%	84%	95%	93%	96%	94%	74%	90%	97%	97%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
82.9%		83%	92%	92%	90%	72%	83%	86%	89%	80%	74%	85%	76%	76%
85.5%		83%	89%	89%	88%	87%	86%	87%	89%	80%	75%	86%	90%	83%
75.5%		68%	72%	72%	52%	76%	70%	84%	68%	87%	86%	73%	87%	86%
86.1%		80%	87%	85%	88%	85%	87%	87%	88%	88%	83%	88%	88%	85%
86.8%		93%	87%	90%	91%	86%	90%	83%	88%	84%	80%	88%	85%	84%
77.8%		69%	95%	87%	63%	85%	86%	85%	75%	77%	68%	70%	81%	71%
87.7%		78%	90%	89%	92%	84%	84%	90%	89%	87%	85%	94%	89%	89%
92.1%		90%	94%	91%	92%	94%	94%	92%	92%	82%	98%	90%	92%	96%
86.3%		89%	90%	81%	85%	84%	88%	95%	87%	95%	74%	80%	89%	85%
67.4%		75%	68%	67%	46%	75%	64%	59%	65%	65%	77%	64%	77%	74%
93.2%		88%	92%	87%	95%	96%	94%	93%	95%	95%	95%	95%	92%	94%
89.4%		92%	93%	93%	91%	87%	88%	89%	89%	83%	91%	87%	86%	93%
58.6%		58%	58%	56%	71%	44%	77%	61%	63%	46%	44%	67%	53%	64%
73.0%		55%	73%	75%	64%	79%	65%	66%	72%	72%	89%	75%	91%	73%
91.5%		91%	91%	92%	93%	91%	84%	93%	93%	93%	92%	91%	93%	93%
83.9%		80%	82%	87%	80%	81%	89%	81%	80%	87%	85%	87%	89%	83%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
81.1%		75%	82%	91%	79%	69%	85%	85%	90%	90%	82%	93%	65%	68%
87.3%		87%	86%	87%	89%	89%	87%	92%	90%	86%	80%	88%	83%	91%
70.1%		82%	80%	82%	78%	34%	71%	71%	82%	80%	46%	59%	68%	78%
73.9%		75%	69%	85%	83%	60%	90%	71%	84%	80%	26%	72%	83%	83%
82.2%		89%	89%	84%	90%	69%	84%	85%	77%	83%	75%	80%	76%	87%
92.0%		94%	94%	94%	94%	78%	94%	94%	94%	94%	84%	94%	94%	94%
85.8%		85%	86%	90%	84%	87%	84%	83%	87%	88%	89%	80%	86%	86%
81.9%		86%	89%	93%	66%	81%	62%	74%	79%	90%	82%	89%	88%	86%
86.5%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	80%	87%
82.8%		91%	86%	81%	81%	74%	92%	83%	86%	86%	58%	90%	85%	83%
85.6%		76%	90%	90%	83%	74%	93%	89%	90%	86%	93%	87%	77%	85%
85.7%		83%	91%	90%	89%	93%	88%	89%	91%	80%	80%	80%	80%	80%
83.2%		80%	82%	89%	92%	80%	81%	83%	94%	80%	80%	80%	80%	80%
85.1%		85%	94%	73%	89%	81%	91%	79%	92%	90%	88%	85%	68%	91%