DTeval

Loading analysis results...

Please wait while we prepare the detailed comparison.

Loading blueprint versions...

Please wait while we gather all the unique runs for this blueprint.

Analysis: Gd3 Dtef Global Dialogues Gd3 AgeGroup%3A46 55 - Run 8ead686...

Global Dialogues GD3 - 46-55

DTEF: Predict response distributions for 46-55. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Efficiency & Succinctness

General Knowledge

Best Models (Coverage)

1.Gemini 2.5 Flash
80.8%
2.Claude Sonnet 4.5
80.8%
3.Claude Haiku 4.5
80.4%
4.Claude 3.7 Sonnet
80.4%
5.Mistral Large 2411
80.3%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

74.7% similarity

👯 Most Similar Models

Claude Sonnet 4.5vsClaude Sonnet 4

92.0% similarity

View Blueprint

Select Prompt:

Macro Coverage Overview

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

Pro Tip

Click on any result cell to open a detailed view.

Advanced view

Highlight best performers

Sort prompts by

Sort models by

Color Scale - Simplified View (Avg. Coverage)

Perfect

Excellent

Good

Fair

Poor

Bad

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	3rd 80.4%	3rd 80.4%	7th 79.6%	2nd 80.8%	1st 80.8%	21st 73.0%	10th 78.7%	5th 80.3%	11th 78.5%	13th 76.6%	8th 79.6%	14th 76.6%	9th 79.0%	17th 75.9%	12th 77.8%	5th 80.3%	15th 76.0%	19th 75.7%	16th 76.0%	20th 74.2%	18th 75.7%
78.1%	76%	84%	73%	75%	79%	58%	83%	87%	84%	79%	79%	91%	85%	74%	81%	82%	69%	73%	75%	73%	80%
89.4%	95%	88%	95%	97%	78%	95%	94%	91%	82%	92%	88%	89%	90%	95%	95%	91%	91%	79%	90%	73%	90%
67.0%	62%	67%	70%	62%	64%	75%	64%	70%	63%	70%	70%	68%	68%	70%	71%	70%	68%	68%	62%	62%	62%
64.5%	70%	74%	62%	67%	74%	62%	70%	62%	60%	50%	70%	60%	66%	62%	52%	61%	61%	69%	70%	56%	77%
91.6%	93%	97%	96%	93%	95%	86%	93%	92%	95%	88%	95%	91%	90%	85%	94%	90%	89%	94%	86%	91%	90%
87.5%	91%	98%	95%	89%	98%	80%	92%	89%	84%	86%	84%	86%	84%	78%	89%	92%	86%	95%	75%	78%	89%
83.5%	82%	80%	85%	94%	91%	82%	77%	89%	85%	85%	86%	92%	82%	69%	85%	83%	93%	86%	75%	78%	75%
67.0%	69%	60%	73%	71%	67%	50%	72%	73%	72%	71%	72%	75%	65%	68%	60%	76%	64%	73%	61%	57%	58%
83.3%	84%	77%	80%	77%	91%	77%	83%	85%	82%	84%	84%	93%	82%	85%	79%	83%	91%	91%	79%	88%	74%
65.4%	64%	74%	54%	71%	76%	73%	77%	62%	63%	54%	64%	67%	67%	68%	63%	72%	58%	59%	79%	48%	60%
75.0%	86%	86%	85%	89%	66%	82%	71%	85%	77%	75%	84%	68%	75%	65%	72%	73%	60%	53%	72%	68%	82%
55.5%	62%	63%	48%	48%	66%	59%	53%	61%	60%	39%	59%	48%	57%	63%	48%	62%	52%	62%	65%	37%	53%
86.9%	93%	90%	94%	94%	89%	86%	86%	87%	87%	90%	87%	64%	90%	82%	87%	88%	85%	88%	83%	85%	89%
86.3%	85%	83%	83%	82%	91%	92%	83%	88%	93%	84%	93%	86%	88%	81%	78%	83%	91%	93%	90%	82%	83%
84.1%	81%	90%	88%	89%	80%	78%	89%	87%	86%	82%	88%	82%	90%	84%	84%	84%	84%	74%	81%	84%	81%
77.4%	76%	80%	78%	86%	87%	65%	74%	84%	78%	69%	79%	81%	81%	72%	70%	78%	80%	78%	73%	84%	73%
66.6%	69%	77%	71%	76%	76%	67%	66%	56%	63%	66%	58%	68%	54%	59%	76%	72%	69%	57%	69%	61%	68%
54.2%	57%	60%	53%	56%	54%	34%	47%	60%	55%	50%	56%	64%	55%	50%	51%	62%	50%	54%	57%	58%	55%
64.5%	78%	58%	73%	73%	62%	49%	75%	66%	59%	75%	59%	60%	66%	53%	69%	73%	50%	54%	61%	71%	70%
82.5%	81%	66%	74%	83%	93%	90%	81%	97%	95%	78%	89%	88%	85%	81%	71%	78%	87%	84%	84%	67%	81%
80.1%	81%	83%	87%	86%	81%	60%	88%	88%	85%	77%	84%	83%	86%	78%	84%	82%	74%	73%	72%	74%	76%
82.2%	89%	84%	87%	86%	90%	67%	88%	84%	84%	86%	88%	80%	89%	85%	83%	84%	78%	69%	72%	79%	74%
81.8%	93%	87%	86%	86%	86%	87%	79%	82%	80%	81%	81%	58%	71%	76%	93%	85%	71%	88%	83%	81%	84%
83.9%	91%	84%	91%	91%	87%	78%	90%	90%	88%	84%	85%	67%	83%	82%	87%	87%	79%	75%	77%	79%	86%
86.3%	91%	85%	80%	82%	82%	90%	86%	83%	89%	85%	92%	83%	91%	83%	82%	87%	88%	94%	94%	80%	85%
84.5%	89%	85%	85%	85%	89%	74%	81%	75%	86%	85%	87%	83%	87%	82%	86%	90%	87%	83%	83%	83%	89%
67.7%	72%	70%	69%	73%	69%	43%	63%	77%	73%	65%	57%	78%	71%	57%	73%	71%	65%	66%	63%	75%	72%
81.4%	82%	90%	84%	84%	93%	64%	83%	91%	86%	89%	78%	77%	82%	71%	89%	87%	73%	84%	66%	77%	80%
59.7%	62%	73%	63%	64%	60%	56%	58%	66%	55%	45%	62%	45%	56%	58%	64%	74%	53%	68%	56%	68%	48%
67.2%	62%	65%	72%	72%	79%	67%	64%	64%	71%	62%	73%	71%	65%	66%	59%	72%	78%	59%	63%	62%	66%
87.6%	91%	92%	91%	90%	91%	76%	85%	83%	85%	92%	92%	76%	94%	90%	91%	93%	87%	79%	87%	88%	87%
84.5%	90%	84%	81%	89%	87%	76%	87%	81%	88%	81%	81%	83%	83%	81%	87%	81%	83%	83%	89%	92%	88%
63.3%	59%	63%	66%	59%	61%	71%	61%	66%	60%	66%	66%	64%	65%	66%	63%	66%	64%	64%	59%	60%	60%
76.7%	78%	68%	74%	86%	84%	66%	73%	81%	79%	81%	76%	82%	83%	67%	84%	79%	84%	72%	70%	70%	73%
73.2%	82%	80%	76%	75%	66%	66%	68%	72%	71%	65%	75%	76%	73%	90%	67%	63%	76%	76%	90%	72%	59%
83.7%	92%	91%	91%	89%	78%	87%	92%	96%	80%	85%	86%	82%	83%	82%	75%	79%	80%	75%	80%	73%	82%
87.3%	88%	96%	89%	89%	92%	82%	91%	89%	91%	94%	86%	80%	87%	86%	88%	93%	84%	75%	85%	85%	83%
89.2%	84%	92%	87%	90%	82%	98%	93%	87%	87%	84%	90%	82%	91%	96%	91%	94%	96%	87%	94%	87%	81%
80.7%	85%	82%	87%	87%	91%	60%	84%	82%	79%	81%	82%	85%	88%	72%	90%	89%	70%	74%	73%	82%	72%
94.8%	93%	95%	98%	90%	92%	97%	92%	98%	91%	98%	98%	96%	96%	98%	96%	98%	96%	96%	90%	92%	91%
87.0%	91%	91%	91%	94%	94%	81%	95%	88%	88%	93%	88%	80%	93%	85%	95%	88%	70%	79%	76%	83%	85%
77.5%	75%	83%	75%	69%	81%	71%	79%	78%	76%	72%	91%	85%	86%	86%	66%	75%	85%	68%	78%	77%	71%
79.5%	85%	84%	84%	86%	84%	80%	76%	80%	82%	75%	81%	75%	75%	81%	78%	82%	70%	84%	82%	70%	75%

Model Similarity Dendrogram

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