DTeval

A Collective Intelligence Project

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Analysis: Gd4 Ctx Dtef Global Dialogues Gd4 Country%3Achina Ctx - Run deef1b7...

Global Dialogues GD4 - China (with context)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

Factual Accuracy & Hallucination

Social interaction

AI Safety & Robustness

Cognitive Impact & Dependency

Knowledge, learning and memory

Best Models (Coverage)

1.Claude Sonnet 4.5
84.2%
2.GPT 4.1
83.6%
3.Claude Sonnet 4
83.5%
4.Mistral Medium 3
82.4%
5.Gemini 2.5 Flash
82.3%

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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		6th 82.2%	3rd 83.5%	1st 84.2%	5th 82.3%	12th 77.2%	7th 81.3%	4th 82.4%	2nd 83.6%	9th 80.3%	13th 76.6%	10th 78.7%	11th 78.3%	8th 80.6%
83.4%		73%	87%	81%	85%	80%	88%	84%	86%	84%	84%	84%	83%	85%
70.1%		85%	87%	89%	88%	59%	71%	83%	95%	56%	29%	56%	56%	57%
83.8%		81%	86%	93%	91%	79%	74%	88%	97%	89%	81%	90%	69%	71%
78.5%		86%	68%	84%	82%	83%	81%	82%	86%	89%	74%	54%	77%	74%
60.9%		66%	73%	70%	68%	52%	67%	67%	69%	36%	52%	58%	51%	63%
90.5%		91%	93%	92%	91%	87%	92%	91%	93%	92%	87%	90%	89%	89%
68.0%		86%	84%	87%	78%	56%	56%	68%	63%	56%	56%	57%	60%	77%
89.1%		91%	92%	91%	87%	84%	88%	91%	92%	88%	83%	91%	86%	94%
82.7%		91%	87%	85%	67%	67%	90%	87%	92%	91%	78%	90%	85%	65%
67.0%		69%	63%	69%	61%	84%	57%	65%	60%	78%	54%	71%	56%	84%
86.4%		87%	89%	88%	88%	88%	87%	86%	87%	81%	86%	92%	81%	83%
84.9%		76%	83%	89%	86%	83%	84%	86%	90%	86%	87%	86%	84%	84%
88.0%		88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
65.8%		63%	88%	74%	67%	62%	58%	56%	54%	70%	69%	56%	67%	71%
78.4%		72%	77%	70%	80%	76%	86%	80%	76%	85%	79%	78%	80%	80%
84.8%		94%	95%	97%	81%	73%	90%	94%	93%	93%	54%	82%	68%	88%
80.3%		79%	79%	85%	87%	75%	81%	86%	73%	80%	80%	79%	80%	80%
77.5%		72%	63%	75%	80%	86%	74%	79%	76%	80%	72%	90%	80%	80%
79.8%		81%	84%	86%	65%	78%	84%	80%	85%	73%	81%	80%	80%	80%
83.8%		93%	84%	78%	89%	59%	95%	80%	86%	92%	68%	90%	91%	84%
81.9%		89%	91%	90%	85%	73%	89%	86%	83%	80%	59%	80%	80%	80%
83.4%		84%	89%	86%	79%	89%	83%	82%	85%	83%	83%	83%	75%	83%
91.6%		91%	94%	95%	95%	90%	90%	94%	94%	94%	93%	81%	92%	88%
67.2%		82%	68%	67%	73%	64%	69%	69%	66%	70%	61%	59%	53%	73%
80.0%		81%	90%	83%	78%	86%	87%	75%	93%	67%	76%	73%	78%	73%
91.0%		94%	91%	90%	93%	91%	73%	93%	92%	93%	94%	93%	93%	93%
82.4%		91%	86%	90%	84%	83%	70%	89%	90%	56%	83%	83%	83%	83%
69.2%		48%	66%	83%	70%	61%	71%	67%	73%	67%	86%	71%	65%	71%
76.7%		80%	77%	76%	88%	70%	77%	71%	92%	80%	68%	75%	71%	72%
78.5%		72%	82%	80%	79%	64%	87%	79%	84%	84%	76%	78%	78%	78%
94.2%		96%	95%	95%	94%	95%	97%	93%	93%	96%	94%	87%	94%	95%
81.8%		79%	87%	86%	81%	72%	79%	73%	77%	77%	91%	88%	86%	88%
87.1%		92%	92%	95%	93%	77%	88%	86%	91%	83%	96%	82%	78%	79%
77.7%		86%	81%	88%	85%	64%	79%	87%	85%	89%	49%	89%	65%	63%
83.3%		88%	87%	83%	81%	87%	78%	93%	74%	79%	88%	78%	82%	85%
93.5%		94%	97%	95%	96%	86%	91%	95%	94%	91%	92%	92%	97%	96%
90.3%		94%	92%	92%	92%	88%	91%	90%	92%	85%	84%	91%	92%	91%
95.9%		96%	96%	95%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
90.6%		91%	91%	91%	83%	92%	87%	90%	90%	90%	93%	94%	92%	94%
95.4%		96%	95%	89%	96%	96%	96%	96%	96%	96%	96%	96%	96%	96%
80.0%		85%	90%	76%	70%	80%	86%	75%	76%	90%	57%	86%	77%	92%
72.1%		77%	73%	80%	65%	69%	71%	69%	69%	74%	84%	65%	71%	70%
84.2%		91%	90%	88%	92%	77%	84%	92%	91%	89%	82%	73%	73%	72%
78.4%		76%	82%	69%	78%	83%	77%	80%	85%	71%	83%	89%	77%	69%
74.7%		88%	81%	87%	73%	77%	86%	59%	90%	60%	56%	56%	69%	89%
74.6%		68%	76%	77%	76%	63%	86%	84%	79%	73%	64%	72%	75%	77%
80.7%		85%	90%	72%	94%	72%	84%	82%	81%	81%	77%	78%	76%	77%
91.3%		87%	92%	91%	97%	91%	92%	97%	98%	87%	87%	92%	89%	87%
89.5%		83%	85%	88%	95%	91%	96%	85%	90%	94%	94%	94%	85%	83%
82.5%		83%	90%	85%	80%	87%	78%	85%	80%	81%	80%	80%	82%	81%
78.3%		73%	80%	78%	78%	82%	75%	81%	78%	80%	79%	78%	78%	78%
67.1%		63%	72%	74%	83%	55%	71%	69%	86%	53%	60%	59%	60%	67%
88.2%		91%	83%	90%	95%	86%	96%	88%	88%	86%	86%	86%	86%	86%
71.1%		79%	70%	68%	73%	65%	67%	70%	77%	76%	75%	71%	70%	63%
91.0%		91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%	91%
82.6%		78%	82%	91%	85%	83%	83%	88%	86%	81%	83%	82%	70%	82%
51.7%		51%	48%	55%	60%	45%	66%	56%	54%	50%	26%	56%	44%	61%
88.0%		88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%	88%
77.5%		84%	82%	88%	87%	61%	88%	86%	85%	86%	45%	72%	60%	83%
79.9%		83%	82%	89%	67%	77%	84%	73%	76%	82%	89%	89%	64%	84%
81.2%		91%	92%	90%	62%	77%	85%	82%	87%	76%	76%	91%	77%	70%
65.8%		49%	78%	75%	88%	50%	57%	78%	65%	64%	84%	47%	73%	47%
88.1%		90%	90%	88%	87%	88%	89%	89%	89%	87%	87%	87%	87%	87%
90.1%		86%	95%	90%	93%	94%	83%	91%	87%	90%	92%	90%	85%	95%
90.9%		91%	90%	92%	91%	89%	89%	99%	91%	88%	92%	92%	91%	87%
82.0%		84%	95%	95%	78%	74%	90%	88%	94%	90%	55%	70%	66%	87%
63.7%		70%	65%	69%	71%	55%	69%	76%	75%	65%	44%	56%	56%	57%
71.3%		72%	80%	77%	73%	70%	66%	66%	68%	76%	65%	68%	67%	79%
74.8%		68%	72%	77%	74%	79%	69%	75%	76%	76%	69%	76%	82%	79%
82.3%		75%	84%	91%	75%	81%	75%	88%	85%	80%	81%	84%	82%	89%
83.6%		83%	83%	91%	83%	83%	83%	83%	83%	83%	83%	83%	83%	83%
82.0%		87%	96%	94%	76%	72%	83%	76%	80%	72%	81%	84%	81%	84%
80.1%		74%	84%	85%	76%	63%	87%	91%	86%	83%	63%	83%	83%	83%
75.1%		89%	80%	78%	90%	67%	74%	86%	80%	81%	61%	73%	51%	66%
84.6%		89%	84%	89%	84%	88%	73%	87%	83%	85%	84%	82%	86%	86%
91.5%		96%	93%	99%	87%	90%	94%	91%	88%	91%	91%	91%	88%	91%
82.8%		91%	82%	82%	75%	88%	81%	63%	78%	82%	88%	90%	90%	87%
82.9%		89%	84%	91%	69%	86%	83%	86%	86%	85%	74%	74%	85%	86%
80.5%		82%	84%	84%	82%	80%	81%	82%	86%	75%	84%	74%	70%	82%
90.8%		91%	91%	91%	91%	89%	91%	91%	91%	91%	91%	91%	91%	91%
88.8%		87%	94%	94%	87%	87%	90%	87%	94%	87%	87%	87%	87%	87%
83.4%		85%	77%	82%	83%	74%	86%	82%	86%	86%	94%	74%	89%	86%
70.7%		72%	73%	57%	57%	82%	71%	64%	63%	67%	81%	72%	79%	81%
86.5%		82%	90%	89%	86%	82%	85%	86%	79%	82%	82%	94%	94%	94%
85.5%		88%	78%	76%	87%	82%	86%	88%	89%	88%	89%	83%	84%	94%
92.1%		91%	93%	93%	92%	92%	91%	95%	91%	84%	97%	91%	90%	97%
75.5%		79%	86%	76%	82%	84%	83%	87%	81%	72%	62%	62%	66%	62%
65.2%		78%	68%	74%	54%	47%	75%	57%	66%	72%	54%	59%	74%	70%
78.1%		91%	75%	93%	91%	69%	67%	89%	83%	72%	72%	64%	64%	85%
80.8%		75%	78%	78%	75%	73%	82%	96%	93%	99%	95%	45%	86%	75%
76.2%		75%	72%	80%	85%	75%	78%	86%	81%	80%	80%	65%	69%	65%
77.1%		72%	64%	86%	90%	78%	66%	81%	88%	72%	72%	69%	82%	82%
67.1%		84%	68%	77%	66%	80%	48%	47%	51%	62%	65%	61%	89%	74%
86.2%		82%	91%	89%	86%	83%	91%	82%	92%	85%	86%	86%	86%	81%
61.8%		61%	66%	69%	59%	76%	68%	61%	59%	54%	54%	69%	53%	55%
82.0%		77%	89%	85%	79%	77%	88%	91%	94%	78%	69%	81%	79%	79%
80.4%		75%	87%	86%	71%	77%	82%	75%	83%	81%	79%	83%	82%	84%
87.0%		86%	87%	90%	88%	76%	89%	90%	91%	90%	74%	90%	90%	90%
76.5%		88%	89%	92%	91%	54%	85%	84%	90%	66%	53%	59%	75%	68%
78.1%		87%	87%	88%	89%	69%	69%	79%	72%	89%	72%	54%	74%	86%
74.5%		79%	79%	63%	70%	74%	78%	88%	90%	81%	24%	71%	89%	82%
73.8%		67%	72%	79%	79%	68%	73%	68%	74%	68%	94%	94%	59%	65%
82.9%		90%	94%	87%	94%	77%	84%	64%	75%	58%	94%	77%	90%	94%
83.5%		67%	82%	88%	93%	72%	92%	92%	87%	86%	90%	82%	69%	85%
83.5%		75%	81%	87%	90%	85%	76%	83%	86%	83%	83%	93%	74%	90%
82.5%		86%	79%	83%	82%	79%	82%	86%	84%	82%	83%	82%	82%	82%
77.0%		89%	75%	82%	83%	52%	74%	85%	88%	85%	79%	75%	72%	62%
72.1%		78%	80%	84%	95%	53%	73%	87%	91%	54%	54%	54%	76%	58%
77.2%		62%	78%	71%	89%	81%	85%	77%	76%	91%	56%	77%	81%	80%
85.1%		91%	87%	86%	95%	75%	84%	88%	90%	93%	84%	82%	80%	71%
89.4%		93%	96%	91%	95%	86%	85%	91%	92%	88%	79%	85%	90%	91%
81.1%		77%	82%	72%	62%	84%	80%	86%	84%	84%	82%	88%	85%	88%
90.0%		87%	91%	88%	88%	89%	94%	88%	91%	93%	93%	82%	93%	93%
91.2%		96%	95%	95%	93%	88%	90%	92%	97%	86%	92%	87%	87%	87%
90.5%		99%	93%	93%	99%	73%	99%	93%	99%	99%	73%	99%	59%	99%
85.5%		83%	87%	93%	83%	93%	85%	91%	83%	83%	82%	83%	83%	82%