DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Country%3Aindia Ctx - Run 184cdb9...

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

Cognitive Impact & Dependency

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4
85.1%
2.Claude Sonnet 4.5
85.1%
3.GPT 4.1
84.4%
4.Gemini 2.5 Flash
84.4%
5.Mistral Medium 3
84.2%

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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		6th 83.3%	1st 85.1%	2nd 85.1%	4th 84.4%	12th 76.9%	9th 81.2%	5th 84.2%	3rd 84.4%	7th 82.3%	13th 76.6%	10th 80.7%	11th 79.2%	8th 81.8%
79.1%		79%	87%	86%	76%	57%	82%	83%	88%	81%	57%	85%	84%	83%
75.4%		86%	85%	86%	91%	54%	69%	75%	92%	88%	60%	66%	62%	66%
80.4%		82%	84%	82%	84%	78%	68%	82%	88%	84%	81%	81%	78%	73%
89.1%		93%	88%	95%	88%	93%	91%	90%	93%	81%	83%	85%	88%	90%
78.7%		84%	85%	82%	84%	69%	81%	81%	82%	75%	75%	70%	71%	84%
89.5%		89%	94%	92%	91%	79%	92%	91%	93%	89%	89%	90%	84%	90%
66.5%		90%	81%	84%	73%	54%	54%	68%	62%	54%	54%	60%	57%	73%
72.2%		72%	73%	70%	71%	61%	75%	72%	76%	78%	91%	64%	68%	68%
82.8%		92%	91%	87%	77%	88%	75%	84%	82%	78%	73%	82%	79%	89%
56.8%		52%	52%	52%	48%	63%	49%	78%	51%	55%	56%	61%	55%	67%
89.2%		88%	94%	94%	96%	85%	91%	89%	93%	87%	90%	81%	87%	85%
91.2%		80%	91%	92%	95%	93%	91%	94%	91%	91%	90%	91%	96%	91%
88.0%		88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
63.8%		80%	87%	72%	66%	56%	61%	57%	61%	62%	65%	47%	54%	62%
84.3%		83%	87%	88%	85%	73%	84%	90%	89%	88%	73%	79%	91%	86%
84.3%		90%	89%	85%	86%	82%	90%	86%	84%	92%	57%	86%	80%	89%
85.8%		94%	94%	92%	95%	68%	89%	91%	85%	88%	74%	88%	81%	76%
84.8%		79%	80%	85%	87%	84%	85%	92%	86%	84%	75%	87%	90%	89%
85.7%		89%	91%	94%	94%	89%	10%	94%	96%	95%	89%	87%	91%	95%
71.2%		76%	69%	66%	73%	51%	74%	74%	74%	72%	72%	80%	76%	68%
88.6%		91%	91%	94%	89%	92%	93%	89%	87%	90%	76%	82%	89%	89%
94.1%		96%	93%	98%	96%	91%	93%	96%	92%	96%	96%	96%	84%	96%
90.4%		88%	95%	91%	95%	84%	87%	95%	93%	91%	89%	91%	84%	92%
71.6%		80%	71%	70%	77%	64%	77%	73%	76%	80%	70%	65%	56%	72%
82.5%		71%	87%	83%	74%	81%	85%	86%	85%	84%	85%	85%	82%	85%
91.2%		94%	94%	94%	92%	95%	73%	92%	91%	92%	92%	92%	92%	92%
81.4%		82%	81%	80%	85%	74%	83%	85%	83%	74%	74%	78%	91%	88%
73.8%		57%	75%	82%	76%	64%	72%	74%	81%	79%	79%	77%	70%	74%
78.8%		85%	81%	81%	87%	71%	80%	77%	89%	83%	78%	71%	71%	70%
84.9%		71%	93%	94%	90%	64%	85%	91%	94%	91%	62%	88%	90%	91%
91.9%		96%	92%	94%	92%	88%	93%	94%	91%	94%	86%	92%	91%	92%
86.8%		94%	93%	89%	90%	77%	84%	86%	87%	92%	77%	86%	89%	85%
80.2%		96%	88%	88%	97%	57%	82%	84%	88%	82%	80%	66%	59%	75%
74.5%		81%	83%	90%	96%	69%	10%	94%	87%	84%	44%	84%	62%	84%
85.7%		87%	89%	83%	92%	77%	87%	82%	88%	86%	88%	81%	84%	90%
91.3%		91%	91%	92%	90%	89%	93%	92%	89%	92%	91%	91%	92%	94%
85.5%		90%	95%	95%	79%	82%	78%	88%	86%	79%	77%	89%	86%	88%
86.2%		86%	85%	84%	87%	87%	87%	87%	84%	85%	87%	87%	87%	87%
92.6%		94%	94%	95%	93%	85%	91%	98%	95%	92%	93%	95%	86%	93%
87.0%		87%	92%	82%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%
83.3%		93%	95%	87%	88%	73%	91%	80%	87%	88%	51%	90%	68%	92%
80.9%		87%	93%	72%	81%	79%	84%	85%	74%	86%	90%	66%	83%	72%
78.7%		95%	85%	87%	96%	52%	82%	91%	86%	74%	87%	47%	70%	71%
71.7%		61%	75%	68%	61%	82%	82%	74%	78%	65%	71%	83%	71%	61%
79.4%		86%	88%	81%	74%	92%	89%	69%	87%	66%	60%	84%	70%	86%
83.2%		72%	86%	89%	77%	77%	96%	88%	87%	77%	77%	78%	90%	87%
77.6%		86%	78%	80%	87%	82%	72%	75%	78%	74%	69%	80%	74%	74%
89.8%		85%	96%	98%	89%	83%	96%	92%	92%	99%	71%	99%	78%	90%
91.4%		89%	87%	87%	93%	92%	91%	96%	92%	91%	96%	96%	82%	96%
87.5%		87%	91%	89%	88%	81%	86%	86%	91%	90%	91%	82%	87%	89%
92.0%		89%	90%	90%	93%	96%	91%	93%	94%	92%	91%	91%	93%	93%
80.6%		81%	81%	82%	88%	76%	91%	89%	89%	86%	71%	79%	63%	72%
77.5%		82%	86%	87%	89%	58%	76%	79%	83%	74%	74%	72%	74%	74%
64.5%		71%	72%	72%	87%	55%	62%	61%	70%	59%	59%	65%	51%	54%
92.0%		92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%	92%
78.8%		77%	85%	85%	87%	75%	71%	87%	87%	76%	74%	75%	69%	76%
60.8%		56%	58%	60%	78%	48%	79%	63%	62%	48%	27%	85%	54%	72%
88.0%		88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
80.8%		86%	84%	93%	87%	67%	88%	90%	87%	81%	42%	81%	69%	95%
83.1%		88%	84%	91%	64%	82%	81%	87%	74%	84%	87%	86%	78%	94%
82.5%		91%	76%	77%	91%	75%	81%	86%	90%	87%	75%	87%	88%	69%
80.8%		68%	90%	89%	83%	67%	88%	90%	94%	75%	69%	78%	89%	71%
83.2%		83%	93%	89%	78%	79%	87%	87%	90%	79%	79%	79%	79%	79%
90.7%		91%	94%	96%	93%	90%	95%	88%	96%	88%	82%	89%	86%	91%
89.5%		87%	92%	94%	93%	87%	85%	94%	92%	88%	90%	92%	85%	85%
65.5%		61%	69%	67%	74%	65%	70%	80%	68%	70%	52%	59%	58%	58%
71.8%		79%	73%	76%	80%	67%	74%	81%	75%	70%	64%	65%	64%	65%
76.3%		83%	79%	71%	79%	73%	75%	71%	74%	83%	70%	75%	82%	77%
76.2%		71%	77%	82%	79%	79%	72%	73%	78%	78%	70%	77%	73%	81%
78.7%		94%	73%	90%	52%	80%	74%	70%	73%	95%	77%	84%	83%	78%
79.2%		79%	79%	82%	79%	79%	79%	79%	79%	79%	79%	79%	79%	79%
78.2%		87%	84%	85%	63%	87%	78%	66%	87%	70%	76%	76%	71%	87%
86.8%		86%	97%	97%	79%	86%	91%	87%	86%	83%	77%	94%	83%	83%
76.8%		80%	88%	82%	84%	67%	79%	95%	77%	79%	62%	78%	57%	71%
83.2%		85%	80%	82%	80%	90%	82%	85%	82%	80%	82%	83%	82%	88%
86.5%		89%	86%	87%	82%	90%	93%	85%	81%	84%	84%	84%	87%	93%
82.8%		95%	83%	81%	80%	96%	78%	66%	79%	86%	80%	91%	67%	95%
92.5%		92%	92%	96%	92%	84%	95%	96%	89%	95%	91%	91%	95%	94%
86.1%		84%	89%	88%	93%	80%	84%	85%	90%	83%	88%	89%	80%	86%
92.3%		92%	92%	92%	92%	96%	92%	92%	92%	92%	92%	92%	92%	92%
81.8%		79%	84%	84%	79%	81%	87%	87%	87%	79%	79%	79%	79%	79%
88.6%		90%	86%	88%	92%	87%	90%	91%	93%	91%	84%	80%	89%	91%
79.1%		83%	87%	88%	80%	72%	83%	83%	87%	84%	67%	68%	75%	71%
91.5%		95%	95%	98%	93%	88%	96%	91%	82%	88%	95%	91%	86%	91%
82.5%		86%	82%	75%	83%	83%	81%	86%	83%	86%	82%	84%	81%	80%
87.2%		87%	86%	90%	84%	79%	85%	93%	90%	86%	91%	91%	82%	90%
81.8%		83%	91%	81%	87%	83%	88%	89%	87%	89%	70%	70%	76%	70%
78.2%		87%	73%	78%	85%	69%	75%	84%	72%	84%	80%	69%	82%	79%
79.9%		93%	80%	93%	91%	63%	74%	85%	86%	78%	78%	74%	74%	70%
81.5%		81%	81%	81%	83%	69%	74%	87%	95%	83%	79%	81%	77%	88%
68.8%		67%	69%	73%	76%	59%	69%	72%	69%	76%	80%	64%	62%	59%
77.5%		78%	89%	94%	94%	74%	65%	87%	73%	77%	78%	63%	63%	73%
79.2%		74%	85%	89%	93%	81%	67%	92%	78%	78%	35%	73%	94%	90%
87.0%		81%	92%	93%	87%	82%	84%	82%	96%	88%	87%	87%	87%	85%
58.5%		54%	59%	69%	59%	71%	70%	51%	51%	52%	57%	57%	54%	57%
82.6%		83%	88%	93%	78%	77%	81%	89%	91%	79%	75%	86%	77%	77%
83.8%		82%	84%	81%	68%	85%	84%	81%	80%	90%	91%	89%	90%	84%
81.2%		80%	84%	83%	80%	74%	80%	83%	85%	81%	78%	83%	84%	81%
82.3%		91%	89%	90%	89%	55%	94%	92%	94%	83%	63%	71%	82%	77%
87.5%		93%	94%	93%	90%	85%	87%	86%	90%	88%	80%	76%	87%	88%
82.2%		77%	88%	90%	90%	70%	89%	84%	92%	82%	59%	73%	90%	85%
85.7%		83%	88%	86%	89%	77%	90%	89%	86%	83%	93%	90%	80%	80%
89.5%		92%	94%	92%	94%	78%	87%	89%	88%	74%	94%	89%	96%	97%
82.2%		81%	86%	86%	86%	67%	78%	86%	82%	88%	92%	78%	82%	77%
85.8%		82%	83%	87%	84%	87%	83%	82%	87%	86%	87%	87%	92%	88%
84.8%		91%	83%	88%	87%	74%	87%	89%	86%	88%	88%	88%	68%	86%
76.1%		85%	70%	70%	84%	70%	79%	84%	83%	83%	66%	82%	74%	59%
69.2%		65%	78%	82%	86%	48%	79%	77%	87%	66%	55%	50%	71%	55%
74.4%		63%	82%	63%	80%	79%	85%	75%	75%	82%	54%	84%	64%	81%
84.3%		82%	90%	87%	86%	70%	88%	77%	83%	89%	86%	79%	92%	87%
82.8%		74%	88%	86%	91%	88%	69%	93%	79%	74%	70%	95%	86%	84%
85.1%		90%	87%	84%	90%	77%	90%	81%	96%	87%	66%	91%	83%	84%
88.2%		86%	89%	90%	90%	80%	93%	86%	90%	92%	92%	81%	92%	85%
88.5%		92%	92%	92%	94%	86%	89%	88%	91%	86%	81%	89%	85%	85%
86.3%		84%	85%	84%	85%	73%	85%	85%	85%	85%	91%	93%	91%	96%
80.6%		79%	82%	80%	79%	88%	79%	77%	80%	79%	78%	79%	79%	89%