DTeval

A Collective Intelligence Project

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Analysis: Gd4 C10 Dtef Global Dialogues Gd4 Country%3Aindia C10 - Run 46e77de...

Global Dialogues GD4 - India (10 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

AI Safety & Robustness

Social interaction

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4
81.3%
2.Claude Sonnet 4.5
80.8%
3.GPT 4.1
80.7%
4.Claude Haiku 4.5
79.4%
5.Mistral Medium 3
79.3%

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Macro Coverage Overview

Average key point coverage extent for each model across all prompts.

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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 79.4%	1st 81.3%	2nd 80.8%	7th 78.4%	13th 71.8%	8th 78.3%	5th 79.3%	3rd 80.7%	6th 79.0%	11th 74.3%	9th 76.6%	10th 75.2%	12th 73.8%
67.0%		69%	84%	84%	79%	49%	61%	67%	73%	60%	70%	55%	56%	64%
62.3%		59%	62%	64%	86%	38%	55%	66%	84%	73%	59%	56%	55%	53%
78.8%		82%	76%	76%	60%	83%	89%	81%	76%	88%	80%	80%	78%	76%
83.2%		86%	87%	85%	63%	90%	82%	82%	84%	87%	83%	85%	82%	85%
68.1%		78%	72%	75%	74%	57%	68%	72%	62%	63%	63%	69%	63%	69%
75.3%		72%	91%	90%	70%	60%	78%	75%	96%	83%	52%	91%	77%	44%
66.5%		87%	79%	79%	74%	54%	70%	60%	56%	55%	73%	55%	56%	67%
70.0%		67%	67%	68%	66%	70%	75%	62%	77%	77%	63%	78%	82%	58%
77.8%		81%	75%	75%	72%	78%	86%	79%	80%	87%	71%	77%	79%	71%
69.9%		65%	65%	60%	51%	73%	68%	74%	63%	62%	90%	90%	88%	60%
81.2%		82%	89%	87%	91%	73%	78%	85%	90%	79%	65%	86%	75%	75%
85.8%		88%	88%	78%	93%	88%	88%	88%	89%	85%	78%	90%	84%	79%
77.3%		84%	80%	87%	85%	67%	65%	87%	83%	79%	81%	70%	70%	67%
55.8%		62%	65%	65%	59%	47%	59%	56%	56%	51%	46%	47%	50%	62%
77.6%		72%	82%	86%	67%	80%	78%	71%	85%	87%	71%	80%	66%	84%
78.0%		77%	80%	82%	79%	70%	83%	87%	83%	87%	67%	79%	71%	69%
89.7%		96%	95%	95%	95%	90%	90%	92%	90%	93%	73%	74%	87%	96%
82.2%		76%	85%	83%	85%	82%	80%	85%	85%	79%	75%	78%	89%	86%
81.4%		78%	91%	91%	88%	71%	88%	84%	82%	77%	91%	73%	69%	75%
72.2%		77%	74%	75%	76%	58%	75%	71%	76%	72%	74%	72%	68%	70%
88.5%		84%	92%	91%	92%	83%	88%	94%	91%	91%	76%	85%	95%	88%
89.2%		94%	89%	79%	80%	89%	88%	94%	93%	93%	97%	85%	87%	91%
64.8%		61%	85%	85%	70%	66%	67%	78%	91%	56%	52%	65%	35%	32%
65.2%		69%	61%	58%	71%	61%	79%	70%	70%	58%	63%	53%	59%	75%
84.8%		86%	87%	85%	76%	83%	82%	84%	90%	86%	85%	84%	85%	90%
92.5%		92%	94%	96%	92%	94%	88%	92%	94%	92%	92%	92%	92%	92%
77.9%		80%	79%	81%	82%	74%	85%	75%	83%	75%	74%	75%	75%	75%
71.8%		75%	79%	89%	76%	45%	74%	79%	78%	68%	77%	64%	65%	65%
72.1%		80%	79%	88%	74%	56%	78%	75%	79%	63%	77%	63%	58%	67%
76.7%		88%	90%	87%	76%	62%	78%	76%	82%	61%	74%	68%	79%	76%
80.3%		80%	89%	89%	90%	71%	80%	80%	86%	81%	74%	88%	82%	54%
80.7%		79%	84%	84%	76%	78%	70%	80%	82%	83%	86%	86%	84%	77%
66.5%		70%	69%	82%	90%	51%	64%	67%	77%	69%	55%	55%	57%	58%
68.1%		66%	65%	79%	90%	58%	77%	82%	73%	78%	51%	64%	51%	51%
78.9%		67%	84%	84%	83%	76%	81%	78%	78%	85%	72%	84%	77%	77%
74.4%		79%	87%	86%	89%	66%	79%	74%	84%	73%	73%	84%	53%	40%
86.5%		78%	91%	91%	85%	87%	83%	79%	91%	93%	89%	89%	87%	82%
73.6%		70%	70%	67%	81%	78%	58%	64%	75%	77%	69%	78%	84%	86%
75.5%		81%	91%	86%	64%	70%	77%	77%	90%	76%	58%	82%	79%	50%
65.5%		50%	62%	64%	74%	74%	43%	51%	57%	77%	67%	81%	82%	70%
81.5%		85%	88%	89%	62%	72%	86%	85%	87%	93%	66%	83%	73%	91%
82.9%		88%	86%	89%	76%	88%	83%	89%	77%	90%	85%	67%	75%	85%
62.6%		58%	67%	71%	91%	48%	70%	58%	69%	53%	55%	55%	59%	60%
69.2%		61%	67%	66%	69%	69%	83%	76%	64%	64%	81%	78%	60%	61%
83.0%		86%	87%	84%	81%	76%	79%	87%	82%	84%	85%	82%	84%	82%
86.9%		72%	88%	89%	91%	78%	96%	93%	84%	89%	77%	86%	90%	97%
74.7%		79%	72%	75%	78%	79%	75%	79%	73%	73%	69%	74%	73%	72%
85.4%		92%	73%	76%	89%	71%	85%	92%	99%	92%	79%	92%	88%	82%
88.2%		90%	90%	81%	86%	88%	85%	90%	91%	83%	94%	87%	93%	88%
79.0%		82%	88%	92%	70%	59%	86%	86%	78%	74%	91%	70%	71%	80%
83.2%		82%	89%	91%	86%	76%	89%	86%	82%	79%	89%	78%	77%	78%
72.7%		83%	81%	74%	23%	80%	83%	82%	77%	74%	69%	68%	73%	78%
72.8%		79%	78%	88%	78%	69%	55%	75%	81%	71%	61%	61%	84%	67%
64.2%		66%	62%	58%	88%	52%	66%	72%	69%	63%	65%	68%	51%	54%
85.1%		79%	87%	87%	87%	84%	80%	88%	85%	88%	87%	89%	87%	78%
77.4%		78%	77%	83%	89%	75%	74%	80%	85%	77%	74%	69%	71%	74%
61.3%		57%	59%	50%	71%	49%	63%	71%	83%	64%	45%	74%	49%	62%
82.5%		93%	90%	91%	79%	77%	73%	90%	84%	83%	77%	85%	74%	76%
69.8%		76%	70%	74%	88%	55%	73%	73%	80%	75%	57%	64%	59%	63%
81.5%		86%	83%	80%	77%	85%	84%	76%	70%	84%	79%	83%	85%	88%
79.2%		83%	85%	86%	63%	62%	79%	85%	90%	92%	61%	72%	88%	83%
73.1%		79%	86%	83%	81%	60%	68%	71%	79%	62%	73%	65%	75%	68%
88.7%		88%	95%	84%	85%	89%	97%	94%	96%	90%	79%	75%	91%	90%
81.6%		82%	90%	88%	71%	78%	79%	87%	90%	83%	83%	75%	78%	77%
66.1%		69%	83%	83%	72%	66%	68%	65%	84%	68%	57%	67%	43%	34%
72.5%		77%	71%	67%	68%	60%	81%	86%	78%	74%	63%	72%	67%	78%
65.9%		74%	75%	75%	81%	45%	74%	76%	73%	62%	64%	48%	52%	58%
73.4%		74%	73%	72%	73%	74%	74%	65%	70%	80%	70%	73%	85%	71%
78.3%		79%	74%	73%	86%	80%	72%	82%	79%	82%	69%	86%	73%	83%
77.1%		90%	78%	78%	70%	78%	75%	64%	74%	88%	76%	75%	78%	78%
82.2%		85%	85%	79%	77%	88%	84%	79%	83%	83%	81%	80%	82%	82%
79.0%		82%	86%	85%	61%	83%	83%	75%	77%	90%	78%	76%	78%	73%
88.7%		92%	97%	83%	71%	94%	95%	86%	76%	97%	95%	93%	93%	81%
81.0%		83%	85%	87%	82%	71%	89%	91%	79%	84%	70%	82%	68%	82%
79.4%		84%	83%	83%	81%	82%	81%	80%	79%	80%	76%	79%	79%	65%
78.5%		75%	66%	66%	62%	93%	81%	75%	65%	85%	86%	87%	88%	92%
85.8%		89%	90%	90%	81%	78%	84%	89%	80%	83%	85%	89%	89%	89%
77.7%		82%	87%	86%	79%	64%	75%	79%	81%	75%	81%	72%	75%	74%
76.8%		82%	80%	86%	78%	70%	69%	79%	85%	78%	72%	78%	71%	71%
83.5%		82%	84%	83%	84%	78%	82%	82%	81%	91%	79%	84%	92%	83%
90.7%		97%	87%	97%	88%	81%	87%	92%	92%	97%	96%	90%	82%	93%
89.5%		90%	92%	95%	89%	84%	93%	96%	95%	91%	86%	92%	80%	81%
73.5%		80%	84%	84%	65%	63%	81%	77%	80%	74%	70%	67%	62%	68%
86.7%		85%	86%	76%	82%	89%	91%	91%	80%	92%	92%	86%	87%	90%
80.5%		82%	87%	78%	84%	75%	86%	83%	86%	85%	68%	82%	85%	66%
76.2%		78%	83%	80%	81%	72%	74%	79%	84%	74%	57%	84%	78%	66%
75.4%		82%	69%	65%	66%	75%	77%	72%	65%	82%	85%	77%	84%	81%
70.9%		74%	63%	63%	79%	69%	66%	70%	72%	77%	64%	73%	75%	77%
77.5%		75%	91%	76%	78%	64%	69%	78%	83%	75%	69%	73%	88%	89%
85.8%		92%	95%	96%	76%	66%	81%	85%	89%	93%	88%	71%	91%	93%
66.5%		61%	73%	71%	83%	55%	72%	67%	74%	58%	59%	62%	65%	65%
74.8%		86%	76%	64%	92%	51%	80%	75%	82%	90%	67%	67%	71%	72%
77.0%		94%	92%	91%	77%	68%	67%	64%	69%	67%	71%	70%	93%	78%
79.2%		79%	86%	89%	87%	68%	80%	85%	83%	85%	87%	70%	61%	69%
67.5%		65%	67%	68%	68%	76%	69%	67%	55%	66%	66%	68%	68%	75%
78.4%		79%	82%	82%	84%	76%	75%	78%	82%	77%	83%	83%	83%	55%
75.5%		78%	74%	78%	35%	86%	70%	59%	77%	84%	85%	84%	86%	85%
83.0%		83%	91%	84%	42%	83%	90%	93%	80%	85%	86%	90%	90%	82%
76.5%		83%	82%	85%	92%	49%	81%	78%	95%	85%	66%	68%	59%	72%
82.9%		88%	83%	80%	84%	89%	86%	87%	82%	83%	79%	86%	70%	81%
76.8%		80%	85%	83%	81%	81%	74%	85%	86%	74%	62%	77%	58%	72%
88.6%		85%	94%	95%	91%	90%	83%	92%	92%	78%	93%	94%	89%	76%
90.1%		89%	95%	95%	93%	86%	94%	89%	80%	73%	94%	88%	99%	96%
82.3%		90%	83%	78%	92%	60%	77%	88%	86%	91%	87%	87%	74%	77%
77.5%		76%	80%	83%	81%	65%	85%	84%	80%	77%	82%	79%	67%	69%
84.5%		91%	77%	79%	80%	67%	92%	88%	81%	96%	88%	81%	89%	90%
76.2%		83%	85%	82%	89%	56%	77%	84%	83%	75%	54%	74%	82%	66%
63.2%		60%	60%	70%	88%	28%	65%	73%	80%	63%	55%	72%	54%	54%
76.3%		64%	82%	68%	84%	84%	85%	67%	85%	82%	52%	77%	82%	80%
73.9%		79%	81%	82%	82%	69%	78%	72%	84%	76%	70%	67%	63%	58%
91.2%		94%	95%	94%	88%	86%	92%	90%	88%	94%	87%	93%	90%	94%
77.2%		82%	90%	90%	92%	65%	88%	82%	86%	78%	67%	73%	57%	54%
88.2%		87%	91%	90%	92%	88%	92%	89%	89%	87%	92%	81%	84%	85%
79.9%		87%	87%	91%	68%	74%	77%	84%	86%	85%	81%	84%	73%	62%
88.2%		87%	78%	84%	96%	91%	83%	95%	89%	98%	95%	86%	87%	78%
77.5%		75%	78%	69%	80%	80%	78%	72%	73%	79%	72%	82%	87%	82%