DTeval

A Collective Intelligence Project

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Analysis: Gd6 Ctx Dtef Global Dialogues Gd6 Country%3Achina Ctx - Run 163ac58...

Global Dialogues GD6 - China (with context)

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

TAGS:

Global Dialogues Gd6

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Efficiency & Succinctness

Demographic Data Analysis

AI Safety & Robustness

Data Privacy & Bodily Autonomy

Best Models (Coverage)

1.Claude Sonnet 4.5
82.6%
2.Claude Sonnet 4
82.4%
3.GPT 4.1
81.5%
4.Llama 4 Maverick
80.8%
5.Claude Haiku 4.5
80.3%

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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		5th 80.3%	2nd 82.4%	1st 82.6%	6th 79.9%	13th 74.3%	4th 80.8%	7th 79.9%	3rd 81.5%	9th 79.2%	12th 75.0%	11th 78.5%	10th 78.6%	8th 79.7%
67.1%		81%	65%	71%	74%	41%	70%	77%	73%	70%	58%	52%	66%	74%
77.8%		73%	77%	80%	77%	81%	72%	81%	82%	83%	81%	78%	72%	74%
71.2%		76%	75%	80%	72%	63%	73%	75%	78%	62%	58%	76%	69%	68%
86.4%		86%	89%	87%	75%	91%	86%	89%	89%	89%	90%	77%	85%	90%
85.2%		81%	90%	87%	87%	78%	81%	87%	85%	88%	86%	82%	87%	89%
76.1%		79%	89%	87%	67%	65%	85%	70%	62%	83%	89%	56%	81%	76%
74.8%		74%	78%	77%	75%	73%	76%	76%	74%	81%	73%	70%	76%	70%
82.1%		92%	87%	83%	84%	62%	89%	83%	89%	95%	59%	83%	69%	92%
81.8%		84%	86%	84%	74%	84%	85%	80%	78%	78%	91%	80%	80%	80%
85.3%		88%	84%	88%	83%	84%	81%	85%	91%	84%	86%	90%	84%	81%
72.8%		62%	74%	69%	74%	76%	82%	76%	77%	70%	72%	69%	69%	77%
84.2%		84%	93%	87%	73%	87%	88%	90%	80%	93%	75%	79%	83%	83%
86.5%		91%	93%	89%	91%	68%	86%	88%	89%	89%	86%	86%	84%	85%
85.5%		81%	84%	89%	86%	89%	80%	87%	83%	79%	82%	94%	90%	87%
71.1%		86%	76%	71%	60%	59%	85%	69%	91%	50%	71%	58%	67%	81%
87.8%		94%	100%	99%	94%	52%	85%	68%	89%	99%	88%	97%	76%	100%
72.3%		75%	79%	75%	85%	75%	62%	70%	72%	74%	71%	70%	67%	65%
64.7%		66%	89%	59%	60%	59%	65%	48%	61%	68%	69%	60%	69%	68%
79.4%		84%	90%	86%	56%	77%	88%	81%	88%	87%	73%	74%	60%	88%
71.9%		87%	89%	90%	86%	52%	69%	70%	61%	67%	50%	55%	75%	84%
88.2%		81%	93%	89%	95%	75%	92%	92%	87%	90%	88%	94%	89%	82%
90.0%		90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%	90%
71.0%		86%	73%	85%	77%	70%	68%	73%	85%	68%	39%	54%	77%	68%
72.7%		69%	72%	80%	74%	73%	66%	68%	76%	80%	58%	83%	78%	68%
69.9%		86%	82%	82%	74%	56%	83%	87%	64%	52%	38%	67%	63%	75%
79.5%		81%	90%	88%	58%	75%	85%	82%	77%	82%	66%	82%	79%	88%
91.1%		96%	91%	87%	93%	88%	92%	94%	89%	94%	82%	94%	90%	94%
81.8%		85%	79%	89%	88%	68%	82%	76%	83%	84%	84%	84%	82%	80%
78.3%		77%	83%	85%	85%	79%	81%	83%	78%	75%	73%	76%	67%	76%
67.5%		77%	76%	78%	75%	65%	72%	70%	74%	62%	75%	69%	75%	9%
92.4%		94%	96%	96%	85%	93%	95%	91%	90%	97%	98%	78%	97%	91%
72.0%		79%	65%	67%	57%	85%	83%	70%	62%	64%	72%	80%	76%	76%
77.8%		86%	85%	85%	88%	59%	80%	79%	80%	79%	73%	81%	73%	63%
82.7%		80%	86%	84%	87%	75%	84%	81%	83%	77%	87%	87%	82%	82%
80.4%		79%	83%	83%	83%	76%	85%	84%	82%	80%	69%	81%	79%	81%
81.7%		87%	89%	87%	83%	73%	81%	83%	86%	79%	83%	81%	74%	76%
86.4%		88%	93%	87%	77%	82%	88%	74%	88%	85%	90%	88%	91%	92%
84.8%		86%	88%	87%	87%	78%	83%	84%	90%	87%	87%	87%	72%	87%
82.9%		82%	79%	83%	83%	76%	83%	86%	86%	86%	82%	86%	82%	84%
79.9%		83%	77%	82%	81%	85%	80%	82%	89%	84%	52%	80%	80%	84%
67.6%		73%	77%	81%	62%	66%	61%	70%	76%	67%	60%	66%	59%	61%
61.6%		79%	79%	77%	39%	59%	47%	55%	53%	57%	51%	70%	84%	51%
66.8%		56%	69%	64%	83%	69%	66%	63%	72%	74%	50%	68%	67%	68%
81.4%		82%	88%	87%	76%	78%	87%	83%	84%	83%	49%	88%	89%	84%
86.9%		90%	85%	80%	93%	79%	91%	84%	86%	93%	95%	77%	95%	82%
76.2%		82%	76%	85%	87%	44%	70%	79%	88%	86%	81%	69%	73%	71%
86.0%		90%	83%	89%	87%	81%	89%	90%	87%	87%	87%	81%	78%	89%
82.3%		82%	77%	79%	78%	90%	85%	80%	81%	82%	83%	81%	87%	85%
88.7%		91%	93%	89%	71%	82%	94%	91%	95%	86%	94%	87%	89%	91%
83.0%		83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%
82.2%		76%	87%	84%	87%	62%	87%	75%	82%	89%	81%	80%	87%	91%
75.3%		71%	77%	79%	91%	63%	77%	72%	78%	80%	73%	74%	70%	74%
62.2%		75%	61%	61%	58%	65%	68%	56%	61%	62%	53%	50%	71%	67%
76.5%		76%	87%	87%	72%	74%	88%	78%	89%	61%	73%	68%	70%	71%
94.4%		96%	94%	95%	90%	97%	97%	90%	95%	95%	94%	94%	94%	96%
82.4%		87%	89%	87%	78%	43%	89%	90%	89%	93%	80%	80%	79%	87%
72.2%		72%	76%	75%	72%	59%	73%	85%	82%	72%	72%	64%	64%	73%
72.7%		74%	70%	74%	89%	57%	71%	87%	79%	75%	72%	64%	66%	67%
85.6%		88%	83%	88%	89%	77%	92%	88%	83%	86%	86%	81%	86%	86%
95.1%		95%	95%	95%	95%	96%	95%	95%	95%	95%	95%	95%	95%	95%
63.2%		50%	77%	75%	83%	71%	52%	74%	56%	58%	48%	53%	76%	48%
75.5%		69%	74%	78%	85%	83%	80%	75%	80%	69%	63%	78%	76%	72%
84.5%		76%	87%	89%	70%	83%	92%	91%	81%	84%	86%	76%	88%	95%
77.1%		75%	80%	80%	84%	83%	76%	79%	82%	68%	79%	79%	68%	69%
80.6%		62%	83%	88%	73%	86%	79%	80%	94%	56%	81%	91%	81%	94%
72.8%		84%	71%	77%	74%	81%	76%	68%	88%	70%	73%	77%	60%	48%
85.8%		83%	96%	81%	87%	88%	78%	88%	86%	74%	90%	95%	85%	84%
80.4%		79%	87%	90%	81%	84%	82%	83%	80%	71%	67%	80%	75%	86%
65.8%		65%	65%	56%	63%	79%	68%	67%	63%	71%	70%	61%	67%	61%
60.6%		64%	61%	60%	35%	62%	52%	38%	56%	75%	80%	65%	71%	69%
90.5%		85%	96%	79%	93%	84%	92%	91%	96%	93%	93%	93%	89%	92%
85.5%		95%	93%	98%	91%	78%	79%	85%	76%	67%	91%	74%	91%	93%
47.0%		49%	37%	41%	78%	38%	61%	41%	56%	41%	21%	52%	47%	49%
71.5%		54%	68%	74%	71%	79%	71%	72%	74%	77%	70%	69%	82%	69%
93.9%		91%	95%	95%	98%	92%	78%	98%	98%	98%	91%	91%	98%	98%
87.2%		77%	87%	95%	82%	92%	93%	91%	81%	80%	89%	97%	84%	85%
95.0%		95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%	95%
79.5%		72%	79%	87%	70%	69%	86%	84%	88%	85%	81%	87%	71%	74%
82.5%		85%	82%	85%	87%	80%	82%	84%	80%	79%	83%	89%	71%	86%
76.6%		80%	89%	88%	88%	66%	78%	72%	83%	81%	48%	48%	80%	95%
77.1%		79%	69%	78%	91%	51%	84%	70%	91%	91%	25%	91%	91%	91%
76.2%		78%	76%	82%	83%	60%	78%	72%	76%	74%	76%	79%	74%	83%
88.3%		90%	90%	90%	90%	68%	90%	90%	90%	90%	90%	90%	90%	90%
92.0%		93%	93%	92%	87%	85%	93%	93%	89%	91%	94%	98%	94%	94%
68.6%		62%	54%	62%	79%	60%	85%	82%	80%	59%	64%	74%	56%	75%
83.0%		83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%
83.9%		87%	86%	94%	87%	74%	88%	87%	87%	89%	63%	87%	75%	87%
84.8%		67%	89%	88%	91%	81%	85%	93%	89%	84%	70%	91%	78%	97%
92.2%		94%	93%	93%	90%	91%	95%	94%	93%	91%	91%	91%	91%	91%
90.4%		91%	91%	92%	91%	91%	87%	91%	86%	91%	91%	91%	91%	91%
82.1%		75%	83%	83%	80%	79%	84%	88%	88%	85%	75%	86%	83%	78%