DTeval

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Analysis: Gd3 C10 Dtef Global Dialogues Gd3 Environment%3Arural C10 - Run 52902fc...

Global Dialogues GD3 - Rural (10 context Qs)

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

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Best Models (Coverage)

1.Claude 3.7 Sonnet
84.7%
2.GPT 5.1
83.5%
3.GPT 5
83.0%
4.Claude Haiku 4.5
82.3%
5.Claude Sonnet 4
82.2%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

70.4% similarity

👯 Most Similar Models

GPT 4.1 NanovsGPT 4o Mini

89.4% 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	1st 84.7%	4th 82.3%	5th 82.2%	19th 75.7%	14th 78.2%	21st 73.9%	11th 79.8%	6th 81.5%	8th 80.7%	7th 81.1%	9th 80.6%	17th 77.0%	10th 80.4%	20th 74.9%	3rd 83.0%	2nd 83.5%	12th 78.3%	18th 76.5%	15th 77.7%	13th 78.2%	16th 77.6%
81.1%	82%	83%	72%	75%	68%	77%	77%	85%	90%	79%	84%	86%	87%	82%	79%	85%	84%	81%	87%	80%	81%
76.1%	75%	71%	69%	85%	55%	87%	71%	75%	66%	73%	92%	96%	82%	91%	72%	67%	70%	54%	90%	86%	72%
66.9%	78%	72%	76%	0%	65%	62%	72%	77%	65%	75%	76%	70%	70%	61%	74%	71%	70%	71%	59%	70%	70%
87.4%	91%	79%	92%	90%	90%	80%	90%	88%	88%	89%	89%	89%	92%	80%	87%	91%	80%	86%	82%	89%	93%
90.9%	97%	91%	82%	91%	90%	79%	88%	89%	89%	97%	97%	92%	98%	97%	92%	98%	88%	87%	87%	98%	82%
84.7%	89%	89%	85%	89%	95%	93%	79%	92%	86%	80%	83%	88%	83%	76%	81%	83%	81%	94%	75%	71%	86%
87.5%	90%	88%	90%	88%	79%	81%	85%	88%	90%	86%	89%	85%	86%	93%	91%	90%	87%	91%	83%	90%	88%
74.4%	82%	72%	66%	76%	77%	45%	73%	84%	82%	75%	72%	75%	79%	63%	90%	86%	79%	82%	65%	67%	73%
74.4%	78%	70%	70%	70%	70%	59%	68%	72%	78%	70%	72%	78%	71%	69%	77%	82%	95%	82%	71%	97%	64%
87.8%	90%	89%	91%	92%	89%	94%	83%	88%	86%	90%	89%	89%	90%	89%	91%	87%	77%	78%	89%	89%	83%
79.7%	82%	90%	93%	79%	64%	91%	92%	90%	85%	78%	91%	91%	74%	75%	74%	69%	55%	54%	94%	75%	78%
80.2%	92%	84%	82%	90%	84%	90%	81%	91%	85%	70%	74%	87%	66%	74%	81%	83%	69%	60%	90%	74%	78%
83.8%	85%	93%	90%	91%	87%	91%	78%	80%	79%	90%	90%	82%	86%	90%	89%	79%	72%	79%	85%	72%	72%
84.4%	85%	86%	81%	85%	85%	74%	80%	87%	89%	86%	85%	72%	87%	75%	89%	87%	89%	90%	90%	90%	81%
82.5%	84%	83%	87%	87%	87%	78%	86%	85%	83%	81%	84%	87%	81%	77%	84%	87%	85%	74%	73%	84%	75%
77.1%	87%	80%	81%	83%	80%	62%	76%	81%	77%	76%	75%	70%	82%	55%	81%	84%	80%	77%	76%	83%	74%
63.0%	72%	74%	78%	75%	66%	49%	69%	59%	67%	65%	61%	55%	57%	55%	70%	77%	52%	45%	61%	52%	65%
67.3%	78%	62%	67%	75%	66%	42%	61%	76%	69%	65%	53%	58%	71%	45%	74%	77%	83%	73%	63%	86%	70%
69.2%	72%	58%	77%	62%	80%	50%	70%	68%	68%	81%	69%	47%	75%	80%	80%	81%	75%	66%	55%	72%	68%
85.2%	95%	91%	93%	88%	89%	81%	94%	80%	79%	95%	80%	78%	85%	79%	88%	91%	79%	80%	79%	80%	85%
84.4%	90%	89%	81%	85%	84%	65%	91%	89%	90%	87%	87%	85%	93%	79%	90%	88%	85%	91%	65%	80%	78%
83.3%	82%	86%	88%	83%	88%	73%	84%	84%	86%	83%	78%	87%	85%	77%	85%	90%	85%	92%	76%	81%	77%
75.8%	79%	80%	75%	75%	78%	80%	79%	79%	71%	83%	81%	67%	70%	74%	77%	81%	76%	67%	78%	72%	69%
83.8%	87%	88%	89%	91%	95%	83%	80%	84%	83%	85%	88%	89%	82%	89%	85%	87%	78%	54%	87%	78%	78%
82.2%	83%	82%	81%	82%	83%	79%	80%	84%	84%	89%	85%	78%	80%	78%	76%	89%	73%	84%	90%	84%	82%
74.7%	74%	75%	74%	74%	79%	74%	70%	64%	69%	78%	76%	79%	74%	82%	69%	77%	78%	80%	81%	81%	60%
75.4%	87%	76%	76%	83%	84%	59%	71%	81%	76%	80%	63%	70%	78%	60%	77%	81%	77%	78%	76%	76%	75%
76.6%	86%	89%	79%	76%	93%	62%	81%	90%	90%	78%	75%	72%	80%	58%	86%	82%	75%	64%	63%	68%	62%
73.8%	83%	86%	87%	89%	76%	70%	80%	69%	74%	67%	69%	67%	63%	66%	75%	74%	68%	70%	73%	70%	73%
75.5%	81%	82%	76%	81%	83%	67%	66%	90%	81%	73%	72%	54%	78%	55%	82%	79%	72%	90%	82%	71%	70%
85.5%	91%	86%	90%	91%	83%	89%	81%	83%	82%	84%	93%	89%	85%	86%	93%	88%	78%	64%	91%	77%	91%
86.4%	82%	88%	84%	0%	95%	99%	88%	83%	95%	85%	84%	91%	91%	99%	92%	90%	91%	92%	99%	96%	90%
55.1%	66%	61%	64%	0%	54%	51%	58%	65%	54%	63%	64%	58%	58%	51%	54%	57%	58%	61%	48%	54%	58%
81.1%	91%	82%	86%	87%	63%	72%	81%	83%	84%	85%	77%	78%	81%	77%	84%	86%	83%	86%	77%	78%	82%
70.7%	77%	82%	75%	78%	46%	67%	70%	58%	64%	69%	69%	67%	75%	69%	78%	83%	75%	73%	78%	74%	57%
80.1%	86%	89%	91%	92%	46%	72%	88%	92%	84%	91%	87%	58%	90%	68%	86%	77%	81%	74%	74%	74%	82%
85.6%	85%	90%	87%	87%	83%	79%	91%	81%	90%	87%	89%	81%	86%	80%	91%	90%	87%	87%	77%	87%	83%
88.9%	89%	88%	99%	96%	89%	98%	94%	94%	95%	99%	87%	71%	94%	90%	93%	95%	82%	80%	86%	58%	90%
83.9%	95%	87%	94%	89%	87%	69%	86%	93%	88%	90%	81%	69%	90%	68%	94%	92%	87%	66%	70%	75%	91%
86.6%	100%	94%	97%	0%	87%	83%	93%	98%	87%	96%	97%	91%	91%	82%	90%	92%	91%	93%	80%	86%	91%
81.2%	92%	80%	78%	88%	66%	63%	94%	94%	92%	83%	88%	66%	78%	61%	95%	94%	77%	73%	64%	81%	98%
86.0%	91%	93%	84%	84%	89%	76%	88%	77%	83%	80%	83%	93%	85%	96%	89%	91%	84%	82%	91%	82%	86%
74.5%	80%	81%	77%	71%	64%	84%	65%	53%	69%	72%	88%	74%	68%	70%	84%	72%	77%	83%	81%	76%	76%

Model Similarity Dendrogram

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