DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 Country%3Aaustralia C10 - Run 42074aa...

Global Dialogues GD3 - Australia (10 context Qs)

DTEF: Predict response distributions for Australia. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Efficiency & Succinctness

Epistemic Humility & Self Awareness

Best Models (Coverage)

1.GPT 5.1
69.8%
2.Claude Sonnet 4.5
69.7%
3.GPT 5
68.9%
4.Claude Haiku 4.5
68.9%
5.Claude Sonnet 4
68.8%

🔀 Least Similar Models

Claude Sonnet 4.5vsMistral Large 2411

74.5% similarity

👯 Most Similar Models

GPT 4.1 MinivsGPT 4o

93.0% similarity

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Macro Coverage Overview

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

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Not Met

	Claude 3.7 Sonnet	Claude Haiku 4.5	Claude Sonnet 4	Claude Sonnet 4.5	Gemini 2.5 Flash	Gemma 3 12b It	Llama 4 Maverick	Mistral Large 2411	Mistral Medium 3	GPT 4.1	GPT 4.1 Mini	GPT 4.1 Nano	GPT 4o	GPT 4o Mini	GPT 5	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 32b	Grok 4.1 Fast
Score	7th 68.5%	4th 68.9%	5th 68.8%	2nd 69.7%	21st 62.0%	18th 63.4%	12th 67.0%	11th 67.1%	8th 68.1%	9th 67.3%	10th 67.2%	17th 64.2%	6th 68.6%	15th 64.9%	3rd 68.9%	1st 69.8%	14th 65.1%	20th 62.7%	13th 66.4%	19th 63.3%	16th 64.7%
73.8%	69%	67%	75%	83%	90%	66%	79%	64%	74%	73%	72%	64%	69%	72%	77%	69%	75%	78%	71%	73%	90%
69.0%	63%	65%	66%	69%	31%	69%	64%	76%	71%	66%	74%	80%	74%	80%	69%	74%	67%	67%	72%	76%	76%
74.8%	80%	70%	84%	63%	63%	75%	71%	76%	63%	80%	80%	80%	80%	75%	71%	71%	80%	75%	75%	87%	71%
77.3%	88%	87%	70%	75%	75%	71%	72%	88%	78%	88%	70%	75%	75%	72%	70%	88%	82%	75%	75%	75%	75%
86.7%	84%	98%	78%	84%	92%	85%	84%	94%	95%	94%	94%	81%	87%	92%	85%	83%	91%	68%	84%	94%	74%
92.7%	97%	95%	92%	84%	97%	88%	90%	83%	88%	92%	97%	97%	97%	80%	97%	98%	97%	91%	97%	92%	97%
69.1%	73%	56%	72%	75%	40%	73%	73%	69%	75%	67%	72%	67%	67%	61%	73%	80%	77%	80%	68%	59%	75%
77.1%	76%	84%	81%	81%	86%	84%	76%	72%	71%	62%	86%	84%	86%	86%	70%	76%	61%	68%	89%	81%	59%
73.4%	72%	77%	64%	64%	67%	53%	62%	64%	70%	87%	77%	77%	87%	77%	76%	71%	92%	71%	77%	84%	73%
74.4%	75%	80%	77%	77%	75%	90%	63%	55%	67%	77%	77%	75%	75%	75%	77%	76%	68%	76%	75%	75%	77%
55.9%	64%	64%	60%	64%	29%	64%	64%	69%	50%	46%	50%	64%	43%	53%	57%	50%	50%	50%	69%	60%	54%
63.1%	68%	61%	68%	68%	67%	76%	61%	60%	61%	54%	54%	67%	54%	62%	61%	61%	62%	71%	68%	61%	61%
54.0%	41%	58%	65%	74%	64%	54%	58%	53%	70%	58%	64%	50%	53%	67%	57%	55%	34%	34%	56%	34%	34%
76.2%	70%	87%	87%	87%	70%	53%	87%	74%	83%	70%	84%	64%	90%	58%	77%	86%	63%	72%	79%	83%	77%
50.2%	50%	55%	52%	43%	48%	58%	53%	47%	53%	39%	54%	53%	54%	48%	53%	50%	54%	45%	49%	46%	50%
75.7%	73%	78%	72%	76%	76%	64%	78%	85%	77%	83%	78%	72%	82%	71%	80%	77%	74%	68%	78%	84%	63%
56.2%	56%	52%	56%	70%	44%	53%	50%	58%	50%	60%	60%	58%	55%	62%	56%	62%	55%	44%	57%	48%	75%
64.7%	69%	67%	67%	67%	70%	46%	63%	70%	67%	63%	57%	59%	59%	54%	69%	71%	72%	62%	67%	64%	75%
56.5%	63%	48%	68%	63%	30%	42%	61%	68%	68%	61%	52%	35%	57%	63%	63%	67%	68%	48%	50%	69%	43%
56.9%	63%	70%	68%	68%	69%	37%	56%	56%	69%	60%	56%	37%	68%	32%	65%	65%	56%	51%	60%	37%	51%
64.5%	71%	66%	74%	70%	66%	62%	66%	55%	63%	74%	67%	67%	66%	55%	70%	71%	64%	45%	53%	63%	66%
79.7%	88%	80%	69%	68%	86%	76%	89%	75%	92%	74%	63%	94%	83%	76%	93%	88%	81%	84%	64%		71%
63.1%	77%	68%	77%	77%	42%	55%	67%	69%	58%	59%	67%	28%	59%	47%	77%	66%	72%	66%	59%		72%
59.6%	63%	65%	63%	63%	54%	63%	61%	59%	61%	64%	64%	47%	68%	67%	68%	61%	47%	50%	69%	47%	47%
46.9%	50%	45%	52%	52%	50%	28%	52%	41%	54%	37%	50%	35%	50%	39%	51%	50%	55%	50%	44%	55%	45%
54.8%	46%	62%	54%	56%	42%	64%	59%	45%	57%	63%	59%	55%	55%	61%	54%	65%	50%	53%	54%	55%	42%
70.0%	78%	79%	73%	67%	76%	56%	70%	80%	77%	57%	46%	72%	72%	59%	72%	72%	84%	70%	78%	59%	73%
62.4%	63%	66%	63%	63%	48%	63%	71%	70%	63%	70%	68%	57%	59%	59%	63%	63%	68%	52%	55%	58%	69%
73.1%	68%	72%	77%	77%	68%	68%	71%	75%	68%	90%	72%	72%	90%	68%	67%	72%	82%	72%	67%	72%	68%
67.4%	77%	71%	74%	74%	84%	58%	70%	73%	67%	74%	69%	67%	66%	72%	74%	77%	31%	33%	71%	70%	64%
56.1%	66%	53%	59%	51%	56%	59%	58%	65%	58%	50%	53%	57%	53%	57%	59%	58%	58%	64%	58%	43%	43%
63.3%	58%	69%	54%	75%	75%	63%	67%	62%	75%	58%	58%	58%	58%	63%	75%	67%	58%	67%	63%	39%	67%
52.7%	59%	50%	63%	44%	44%	55%	51%	55%	44%	59%	59%	59%	59%	55%	51%	51%	59%	59%	55%	51%	24%
43.1%	49%	40%	47%	47%	50%	37%	36%	43%	43%	41%	40%	37%	43%	43%	51%	48%	43%	44%	36%	44%	44%
45.5%	53%	53%	37%	53%	22%	46%	45%	53%	53%	37%	46%	43%	46%	44%	46%	57%	45%	41%	53%	46%	37%
73.6%	76%	79%	79%	84%	46%	76%	75%	80%	67%	64%	75%	75%	72%	79%	69%	83%	72%	74%	71%	66%	83%
65.9%	64%	66%	69%	70%	69%	66%	68%	58%	68%	66%	68%	63%	65%	69%	66%	67%	65%	60%	65%	64%	68%
83.9%	78%	92%	85%	85%	85%	86%	78%	85%	96%	96%	97%	83%	96%	77%	84%	90%	76%	71%	81%	56%	85%
71.0%	75%	74%	79%	76%	49%	69%	76%	67%	74%	75%	74%	74%	74%	69%	74%	72%	76%	65%	61%	74%	65%
82.7%	78%	88%	73%	95%	95%	82%	87%	82%	95%	78%	78%	78%	78%	82%	82%	87%	78%	82%	82%	78%	78%
65.1%	69%	68%	69%	75%	38%	83%	65%	71%	60%	75%	76%	67%	75%	67%	68%	67%	20%	68%	62%	49%	75%
70.9%	72%	69%	72%	72%	77%	50%	72%	75%	68%	84%	68%	70%	74%	73%	75%	74%	69%	74%	68%	65%	67%
67.1%	75%	67%	75%	67%	59%	62%	64%	67%	66%	67%	64%	62%	75%	71%	71%	67%	70%	56%	70%	58%	77%

Model Similarity Dendrogram

Hierarchical clustering of models based on response similarity. Models grouped closer are more similar.