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 C10 Dtef Global Dialogues Gd3 AgeGroup%3A36 45 C10 - Run d41f2a9...

Global Dialogues GD3 - 36-45 (10 context Qs)

DTEF: Predict response distributions for 36-45. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

TAGS:

Instruction Following & Prompt Adherence

Reasoning

Factual Accuracy & Hallucination

Efficiency & Succinctness

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.6%
2.GPT 5
85.3%
3.GPT 5.1
85.3%
4.Claude Sonnet 4.5
84.2%
5.Gemini 2.5 Flash
83.9%

🔀 Least Similar Models

Claude Sonnet 4.5vsGPT OSS 20b

63.4% similarity

👯 Most Similar Models

Claude 3.7 SonnetvsGPT 4.1

88.1% 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	1st 85.6%	6th 83.6%	9th 83.1%	4th 84.2%	5th 83.9%	20th 78.7%	11th 82.4%	12th 82.3%	13th 81.9%	8th 83.2%	6th 83.6%	17th 81.0%	10th 83.0%	19th 80.0%	2nd 85.3%	3rd 85.3%	18th 80.2%	21st 76.1%	14th 81.8%	16th 81.3%	15th 81.4%
87.2%	95%	89%	85%	87%	95%	70%	90%	91%	85%	85%	86%	82%	87%	83%	89%	89%	93%	78%	90%	91%	91%
78.4%	78%	70%	84%	85%	63%	85%	74%	79%	68%	82%	86%	85%	82%	83%	82%	82%	77%	68%	79%	73%	81%
67.0%	72%	63%	60%	63%	60%	70%	70%	72%	60%	75%	75%	72%	72%	70%	65%	68%	68%	60%	62%	63%	68%
92.9%	94%	86%	97%	93%	94%	88%	94%	95%	97%	94%	94%	93%	92%	88%	97%	97%	88%	87%	93%	92%	97%
89.0%	86%	87%	84%	84%	89%	87%	86%	91%	89%	87%	95%	95%	98%	95%	88%	95%	89%	91%	80%	95%	79%
88.5%	87%	88%	84%	86%	93%	93%	88%	96%	94%	87%	91%	86%	85%	88%	83%	87%	97%	86%	84%	86%	89%
86.5%	87%	88%	86%	86%	82%	83%	81%	91%	87%	87%	88%	91%	87%	93%	90%	88%	90%	85%	83%	89%	74%
85.8%	92%	88%	76%	80%	90%	59%	84%	93%	92%	86%	85%	92%	89%	77%	92%	95%	96%	92%	75%	81%	88%
77.8%	83%	71%	71%	71%	81%	58%	70%	71%	75%	74%	77%	84%	78%	74%	88%	87%	91%	86%	69%	87%	87%
89.4%	97%	86%	91%	92%	93%	96%	87%	84%	88%	91%	93%	93%	91%	93%	86%	92%	74%	73%	93%		95%
81.1%	84%	87%	89%	89%	79%	87%	87%	86%	84%	74%	83%	90%	73%	75%	73%	82%	76%	60%	85%	76%	85%
88.2%	95%	87%	95%	96%	93%	95%	87%	91%	93%	76%	86%	94%	77%	79%	81%	91%	86%	76%	94%	88%	92%
81.8%	80%	93%	88%	90%	92%	92%	78%	76%	79%	85%	93%	75%	81%	86%	89%	83%	71%	55%	89%	71%	71%
87.2%	87%	87%	81%	88%	83%	88%	86%	92%	91%	90%	93%	82%	91%	75%	91%	91%	73%	88%	92%	92%	91%
85.8%	90%	90%	82%	89%	92%	88%	89%	80%	85%	88%	93%	79%	88%	89%	87%	91%	78%	57%	88%	91%	87%
84.5%	93%	83%	91%	93%	93%	69%	85%	89%	84%	85%	83%	82%	85%	72%	91%	86%	75%	81%	86%	84%	84%
70.0%	75%	77%	77%	77%	64%	72%	73%	53%	70%	65%	64%	79%	59%	60%	81%	80%	61%	70%	72%	70%	71%
68.3%	77%	68%	68%	77%	70%	48%	62%	75%	71%	64%	56%	66%	70%	53%	72%	75%	78%	71%	68%	78%	68%
68.4%	76%	53%	83%	69%	84%	59%	66%	77%	77%	86%	65%	49%	84%	60%	83%	83%	62%	49%	54%	70%	48%
85.0%	96%	87%	92%	88%	99%	79%	96%	80%	78%	87%	78%	78%	90%	77%	84%	93%	84%	78%	78%	77%	86%
87.5%	84%	88%	82%	84%	94%	75%	88%	87%	92%	87%	94%	96%	93%	89%	88%	90%	89%	77%	86%	84%	91%
83.7%	81%	82%	77%	82%	79%	82%	86%	80%	85%	87%	89%	89%	86%	93%	90%	89%	84%	73%	85%	78%	81%
83.6%	87%	86%	82%	86%	89%	88%	91%	84%	86%	89%	86%	71%	80%	79%	85%	83%	84%	74%	87%	79%	80%
85.5%	86%	99%	93%	92%	95%	86%	81%	79%	83%	93%	95%	71%	86%	85%	97%	87%	74%	76%	85%	76%	76%
87.3%	86%	85%	84%	90%	90%	86%	88%	90%	89%	91%	87%	73%	92%	76%	91%	89%	90%	86%	92%		91%
76.7%	77%	79%	81%	82%	81%	74%	77%	72%	76%	89%	80%	76%	79%	79%	75%	79%	64%	66%	80%	84%	61%
78.6%	91%	82%	77%	80%	80%	57%	77%	85%	78%	80%	68%	78%	85%	67%	85%	82%	81%	82%	81%	78%	76%
87.0%	92%	97%	86%	92%	96%	69%	90%	94%	86%	90%	85%	81%	83%	72%	95%	93%	88%	87%	80%	86%	85%
80.0%	84%	87%	86%	89%	90%	76%	83%	77%	77%	76%	78%	78%	75%	73%	84%	77%	79%	79%	76%	78%	78%
81.2%	88%	86%	84%	91%	94%	67%	74%	88%	85%	75%	80%	76%	77%	74%	82%	81%	83%	77%	84%	86%	73%
81.7%	87%	78%	77%	84%	82%	85%	83%	76%	80%	84%	88%	83%	83%	88%	84%	84%	74%	66%	85%	81%	84%
83.4%	78%	88%	92%	81%	92%	81%	81%	79%	91%	76%	76%	79%	79%	81%	87%	83%	83%	83%	90%	88%	83%
62.7%	69%	58%	55%	55%	55%	65%	64%	66%	55%	70%	70%	67%	67%	65%	63%	63%	63%	63%	57%	63%	63%
81.7%	88%	78%	84%	89%	87%	78%	82%	82%	85%	88%	79%	76%	79%	76%	82%	86%	82%	82%	75%	76%	81%
76.2%	84%	93%	77%	87%	59%	76%	72%	72%	69%	70%	73%	74%	77%	72%	83%	76%	77%	76%	87%	78%	68%
82.2%	85%	85%	88%	82%	62%	87%	85%	86%	82%	84%	83%	82%	86%	86%	82%	79%	82%	71%	83%	81%	85%
82.3%	85%	84%	82%	81%	88%	86%	84%	74%	79%	86%	85%	85%	85%	91%	85%	86%	79%	62%	84%	67%	91%
87.0%	86%	96%	90%	90%	78%	89%	84%	89%	83%	85%	93%	80%	91%	87%	96%	98%	75%	76%	90%	92%	79%
86.6%	90%	91%	97%	93%	91%	80%	91%	87%	91%	94%	88%	86%	89%	80%	88%	79%	75%	76%	75%	83%	95%
95.8%	96%	95%	91%	91%	91%	98%	98%	96%	92%	93%	93%	96%	96%	98%	100%	100%	100%	100%	93%	95%	100%
83.6%	91%	85%	87%	86%	91%	77%	87%	88%	79%	87%	87%	68%	81%	80%	92%	84%	78%	74%	83%	85%	85%
81.8%	85%	82%	77%	77%	83%	72%	82%	83%	82%	81%	81%	89%	78%	90%	81%	82%	84%	84%	80%		82%
80.0%	75%	84%	82%	72%	70%	84%	84%	61%	69%	74%	94%	84%	81%	89%	81%	83%	73%	93%	84%	81%	81%

Model Similarity Dendrogram

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