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

Efficiency & Succinctness

Data Privacy & Bodily Autonomy

AI Safety & Robustness

Economics & Finance

Best Models (Coverage)

1.Claude Sonnet 4.5
85.9%
2.Claude Sonnet 4
85.6%
3.GPT 4.1
85.1%
4.Claude Haiku 4.5
84.3%
5.Mistral Medium 3
84.0%

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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 84.3%	2nd 85.6%	1st 85.9%	6th 83.8%	13th 76.1%	7th 83.5%	5th 84.0%	3rd 85.1%	8th 83.0%	12th 77.9%	10th 82.0%	11th 81.6%	9th 82.1%
63.5%		76%	69%	68%	71%	36%	74%	80%	74%	71%	36%	56%	48%	67%
84.2%		81%	85%	84%	90%	83%	81%	88%	90%	83%	80%	83%	84%	83%
83.6%		87%	92%	93%	95%	78%	83%	91%	85%	77%	74%	76%	80%	76%
87.5%		87%	87%	87%	82%	88%	91%	92%	87%	93%	87%	82%	88%	86%
83.0%		93%	87%	87%	91%	64%	79%	82%	83%	92%	87%	70%	85%	79%
86.5%		91%	92%	83%	88%	79%	88%	86%	77%	87%	88%	87%	89%	89%
79.3%		78%	84%	83%	82%	76%	84%	79%	80%	83%	72%	66%	82%	82%
85.1%		89%	84%	80%	94%	66%	87%	82%	92%	92%	78%	94%	77%	91%
92.6%		95%	99%	95%	91%	93%	92%	91%	94%	91%	98%	93%	81%	91%
82.1%		89%	87%	88%	86%	71%	72%	88%	91%	79%	80%	84%	75%	77%
82.9%		87%	83%	81%	91%	60%	83%	81%	94%	86%	89%	85%	76%	82%
87.8%		95%	84%	83%	95%	84%	85%	95%	91%	91%	91%	78%	97%	72%
80.7%		83%	86%	85%	88%	63%	86%	80%	83%	80%	80%	80%	74%	81%
92.2%		89%	92%	95%	93%	93%	94%	96%	95%	97%	76%	92%	91%	95%
76.8%		87%	79%	75%	90%	63%	87%	72%	87%	62%	76%	64%	73%	83%
85.2%		98%	97%	98%	99%	10%	88%	84%	88%	96%	90%	94%	70%	96%
77.5%		76%	81%	79%	71%	83%	66%	70%	90%	86%	85%	70%	80%	70%
69.3%		80%	90%	81%	51%	76%	46%	64%	61%	73%	65%	61%	84%	69%
67.0%		66%	67%	70%	84%	56%	70%	87%	74%	70%	50%	61%	50%	66%
63.4%		89%	76%	67%	68%	51%	70%	65%	59%	51%	51%	51%	55%	71%
83.5%		85%	84%	85%	90%	69%	86%	88%	91%	85%	77%	86%	76%	83%
94.0%		94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%	94%
77.8%		82%	80%	86%	86%	80%	80%	83%	95%	79%	47%	62%	75%	77%
81.5%		81%	89%	93%	90%	84%	86%	77%	77%	84%	57%	82%	86%	74%
72.8%		85%	83%	87%	71%	50%	87%	78%	72%	70%	63%	76%	64%	60%
78.3%		83%	79%	77%	46%	83%	84%	77%	72%	73%	72%	95%	87%	90%
87.7%		91%	86%	83%	88%	92%	87%	94%	88%	86%	86%	86%	87%	86%
79.8%		82%	92%	89%	83%	64%	79%	83%	84%	77%	76%	76%	76%	77%
89.8%		97%	82%	84%	90%	97%	91%	95%	86%	88%	92%	91%	88%	86%
77.4%		87%	84%	85%	72%	59%	81%	85%	84%	85%	72%	87%	72%	53%
90.8%		90%	92%	97%	92%	90%	89%	85%	93%	93%	93%	89%	86%	92%
83.2%		89%	93%	95%	85%	71%	79%	90%	96%	89%	66%	82%	73%	73%
75.4%		83%	83%	86%	85%	54%	80%	80%	81%	82%	72%	74%	63%	57%
91.9%		88%	86%	92%	84%	95%	90%	92%	96%	93%	94%	94%	97%	94%
87.0%		91%	90%	90%	90%	88%	88%	88%	86%	88%	71%	89%	86%	86%
86.9%		82%	87%	88%	90%	85%	86%	90%	87%	83%	91%	87%	88%	86%
79.1%		76%	72%	71%	77%	87%	77%	64%	72%	80%	91%	92%	92%	77%
90.5%		89%	91%	91%	89%	87%	92%	95%	94%	90%	90%	90%	89%	90%
77.2%		77%	75%	75%	72%	75%	79%	79%	79%	80%	74%	80%	79%	80%
76.3%		66%	82%	85%	78%	71%	75%	83%	80%	78%	58%	82%	78%	76%
70.8%		68%	74%	75%	77%	74%	68%	72%	74%	71%	68%	68%	67%	65%
78.5%		86%	89%	92%	78%	80%	67%	52%	74%	76%	79%	67%	91%	89%
75.1%		62%	71%	70%	83%	82%	84%	81%	77%	80%	51%	90%	64%	81%
88.6%		87%	95%	96%	93%	82%	95%	86%	93%	92%	65%	91%	88%	89%
90.7%		93%	95%	91%	94%	88%	95%	95%	94%	95%	85%	85%	84%	85%
81.4%		87%	82%	92%	95%	53%	76%	87%	93%	91%	80%	68%	79%	75%
90.6%		90%	89%	90%	90%	94%	91%	90%	90%	90%	90%	90%	93%	91%
94.8%		95%	97%	97%	94%	94%	92%	94%	99%	95%	94%	94%	95%	93%
92.4%		96%	97%	96%	89%	87%	92%	88%	97%	90%	89%	89%	96%	95%
87.0%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%
78.5%		80%	75%	80%	83%	62%	79%	73%	79%	82%	89%	80%	79%	80%
77.8%		76%	82%	90%	78%	67%	75%	78%	86%	76%	82%	79%	72%	70%
78.1%		81%	72%	73%	83%	74%	84%	81%	70%	79%	78%	74%	87%	79%
76.3%		77%	86%	86%	69%	81%	85%	77%	88%	68%	74%	80%	58%	63%
86.5%		90%	91%	91%	84%	78%	86%	82%	90%	85%	86%	86%	90%	86%
83.2%		91%	92%	91%	84%	46%	88%	89%	91%	92%	73%	77%	85%	83%
85.5%		89%	91%	92%	87%	57%	80%	94%	88%	87%	85%	89%	86%	87%
75.8%		84%	76%	80%	83%	62%	80%	91%	80%	76%	71%	64%	66%	72%
91.8%		95%	94%	93%	97%	84%	95%	94%	92%	95%	74%	90%	94%	97%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
85.0%		83%	98%	93%	91%	81%	83%	89%	86%	77%	74%	81%	93%	76%
84.5%		83%	81%	82%	92%	86%	87%	84%	88%	83%	75%	86%	87%	85%
74.8%		68%	72%	72%	54%	77%	70%	81%	66%	90%	73%	73%	90%	86%
86.2%		81%	87%	88%	90%	85%	85%	87%	87%	88%	83%	88%	88%	84%
85.9%		94%	86%	90%	80%	85%	89%	85%	88%	84%	80%	88%	83%	85%
76.4%		69%	94%	89%	61%	83%	86%	91%	75%	68%	68%	70%	72%	67%
88.5%		79%	88%	88%	95%	84%	80%	90%	90%	85%	92%	94%	95%	90%
92.8%		90%	94%	91%	90%	94%	91%	95%	95%	87%	98%	92%	93%	96%
85.6%		89%	87%	81%	83%	83%	88%	91%	86%	88%	74%	81%	96%	86%
68.1%		75%	68%	67%	46%	74%	64%	63%	62%	65%	86%	70%	74%	71%
92.6%		87%	91%	92%	88%	94%	94%	92%	94%	93%	95%	95%	95%	94%
89.6%		92%	94%	93%	91%	87%	88%	86%	85%	90%	91%	87%	88%	93%
56.7%		51%	53%	58%	70%	45%	77%	65%	65%	46%	25%	65%	51%	66%
72.8%		55%	76%	85%	67%	79%	65%	65%	68%	68%	77%	76%	91%	75%
90.5%		93%	91%	91%	93%	90%	83%	81%	93%	91%	92%	93%	93%	93%
85.2%		82%	82%	88%	82%	83%	89%	84%	83%	87%	84%	87%	92%	84%
96.0%		96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
78.9%		75%	82%	79%	75%	66%	90%	82%	92%	91%	76%	87%	64%	67%
88.7%		90%	86%	91%	89%	91%	89%	89%	89%	95%	80%	90%	84%	90%
70.3%		81%	80%	82%	79%	41%	71%	71%	82%	78%	46%	57%	68%	78%
71.5%		75%	82%	84%	83%	53%	90%	77%	84%	26%	26%	83%	83%	83%
82.8%		89%	88%	84%	95%	68%	84%	89%	79%	76%	75%	85%	74%	90%
92.8%		94%	94%	94%	94%	78%	94%	94%	94%	94%	94%	94%	94%	94%
85.1%		87%	85%	87%	84%	81%	83%	83%	90%	85%	89%	80%	86%	86%
84.5%		89%	93%	93%	75%	81%	66%	80%	81%	92%	91%	83%	86%	89%
86.5%		87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	87%	80%	87%
82.9%		88%	86%	82%	83%	71%	89%	82%	86%	87%	62%	91%	88%	83%
85.2%		74%	90%	90%	78%	75%	89%	91%	87%	87%	89%	93%	79%	85%
84.2%		83%	90%	91%	82%	85%	87%	91%	86%	80%	80%	80%	80%	80%
83.0%		80%	82%	89%	90%	80%	85%	80%	92%	80%	80%	80%	80%	81%
86.2%		85%	95%	84%	88%	82%	90%	82%	88%	90%	89%	83%	70%	94%