DTeval

A Collective Intelligence Project

Loading blueprint versions...

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

Analysis: Gd4 C5 Dtef Global Dialogues Gd4 AiConcern%3Aequally Concerned And Excited C5 - Run 1d9248a...

Global Dialogues GD4 - Equally concerned and excited (5 context Qs)

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

TAGS:

Global Dialogues Gd4

Instruction Following & Prompt Adherence

General Knowledge

Efficiency & Succinctness

AI Safety & Robustness

Social interaction

Best Models (Coverage)

1.Claude 3.7 Sonnet
85.3%
2.Claude Sonnet 4.5
83.8%
3.GPT 5.1
83.1%
4.Claude Sonnet 4
82.5%
5.GPT 4.1
82.3%

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

	Prompts vs. Models	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 Mini	GPT 5.1	GPT OSS 120b	GPT OSS 20b	Qwen3 30b A3B Instruct 2507	Qwen3 Next 80b A3B Instruct	Grok 4.1 Fast
Score		1st 85.3%	7th 81.8%	4th 82.5%	2nd 83.8%	16th 77.0%	18th 75.8%	12th 80.0%	13th 78.7%	9th 80.4%	5th 82.3%	8th 80.4%	20th 72.1%	6th 81.9%	21st 65.9%	10th 80.2%	3rd 83.1%	14th 78.2%	19th 73.5%	17th 76.5%	15th 78.1%	11th 80.0%
72.1%		79%	74%	69%	77%	84%	56%	65%	88%	70%	64%	66%	67%	67%	77%	84%	71%	65%	70%	69%	68%	84%
65.9%		69%	63%	69%	61%	71%	52%	48%	61%	64%	88%	70%	63%	82%	69%	70%	89%	59%	55%	58%	68%	55%
80.6%		88%	80%	87%	80%	86%	86%	86%	75%	79%	80%	88%	77%	87%	74%	76%	84%	80%	73%	77%	75%	75%
82.8%		93%	90%	86%	92%	78%	71%	83%	82%	77%	88%	86%	85%	84%	50%	89%	86%	84%	79%	80%	89%	86%
63.3%		79%	65%	71%	78%	64%	46%	67%	65%	64%	65%	54%	62%	67%	46%	59%	65%	60%	55%	66%	63%	68%
85.0%		87%	92%	91%	86%	71%	94%	81%	91%	82%	92%	90%	93%	93%	56%	94%	91%	87%	90%	81%	55%	88%
70.0%		82%	90%	82%	82%	72%	63%	82%	66%	65%	64%	66%	68%	65%	61%	74%	69%	63%	63%	64%	60%	68%
81.8%		88%	88%	75%	67%	79%	80%	77%	81%	87%	72%	87%	83%	90%	59%	92%	81%	88%	88%	87%	80%	88%
79.8%		67%	85%	68%	73%	81%	75%	87%	80%	78%	72%	92%	88%	85%	69%	87%	74%	84%	73%	86%	91%	80%
81.9%		75%	78%	90%	91%	93%	87%	85%	77%	64%	78%	69%	96%	89%	84%	51%	71%	93%	81%	94%	78%	95%
83.6%		86%	90%	85%	89%	89%	79%	84%	83%	83%	88%	85%	84%	83%	55%	85%	88%	83%	76%	84%	88%	89%
79.2%		88%	95%	87%	93%	79%	83%	79%	78%	80%	94%	84%	17%	91%	58%	84%	93%	80%	56%	73%	82%	90%
84.8%		87%	91%	79%	84%	86%	80%	82%	91%	87%	83%	85%	81%	81%	85%	91%	89%	83%	82%	85%	89%	80%
66.8%		72%	89%	72%	72%	70%	74%	69%	47%	64%	59%	69%	36%	50%	87%	62%	73%	62%	69%	63%	71%	73%
66.3%		72%	64%		61%	18%	53%	72%	72%	72%	72%	66%	50%	67%	79%	63%	74%	83%	80%	57%	71%	79%
79.6%		80%	80%	75%	89%	92%	76%	76%	74%	86%	92%	86%	66%	89%	66%	81%	91%	82%	75%	69%	77%	70%
85.9%		86%	86%	79%	85%	87%	85%	84%	94%	91%	80%	91%	80%	82%	91%	91%	81%	77%	94%	79%	90%	91%
73.7%		85%	92%	84%	84%	79%	63%	75%	75%	84%	74%	85%	25%	75%	28%	76%	82%	78%	70%	87%	72%	74%
80.8%		80%	83%	86%	84%	81%	88%	81%	78%	84%	87%	90%	20%	91%	75%	86%	92%	79%	69%	85%	88%	90%
52.1%		100%	43%	44%	58%	59%	55%	61%	37%	41%	52%	41%	51%	44%	44%	57%	67%	48%	59%	36%	33%	65%
66.4%		87%	77%	82%	82%	78%	54%	83%	67%	73%	77%	71%	20%	80%	29%	72%	82%	72%	68%	29%	83%	29%
89.0%		92%	92%	92%	94%	91%	91%	87%	88%	93%	95%	91%	74%	82%	82%	87%	94%	93%	74%	91%	93%	92%
81.4%		88%	90%	83%	86%	64%	92%	83%	82%	86%	88%	81%	88%	94%	53%	83%	91%	83%	82%	84%	41%	87%
56.2%		74%	65%	56%	72%	50%	58%	53%	51%	54%	67%	40%	55%	74%	32%	45%	60%	50%	59%	46%	55%	64%
83.5%		94%	83%	86%	92%	89%	80%	86%	85%	81%	90%	84%	85%	95%	54%	84%	87%	75%	84%	76%	81%	83%
87.4%		97%	93%	85%	90%	95%	94%	89%	84%	85%	90%	85%	95%	85%	91%	91%	85%	73%	62%	93%	92%	81%
85.7%		92%	90%	85%	91%	86%	71%	94%	80%	82%	88%	93%	81%	84%	73%	89%	91%	73%	84%	92%	89%	91%
83.8%		89%	89%	82%	86%	66%	90%	90%	89%	87%	75%	94%	55%	90%	66%	91%	91%	88%	84%	85%	84%	88%
83.1%		97%	85%	94%	92%	86%	84%	88%	82%	81%	86%	87%	65%	84%	82%	85%	90%	84%	57%	75%	77%	84%
81.7%		91%	80%	94%	99%	78%	71%	83%	85%	79%	79%	86%	75%	86%	55%	86%	83%	83%	90%	65%	83%	85%
83.7%		93%	92%	81%	87%	90%	89%	87%	85%	87%	89%	91%	91%	86%	48%	70%	86%	87%	84%	88%	65%	81%
79.6%		88%	81%	76%	84%	82%	58%	80%	85%	80%	86%	86%	82%	87%	70%	91%	77%	83%	73%	70%	77%	75%
80.2%		82%	85%	77%	89%	96%	89%	78%	71%	91%	78%	87%	73%	75%	82%	85%	74%	78%	81%	72%	72%	70%
66.2%		66%	69%	63%	72%	90%	67%	54%	60%	78%	66%	72%	63%	80%	59%	63%	77%	64%	46%	54%	64%	63%
82.3%		86%	85%	83%	85%	86%	77%	87%	81%	83%	83%	75%	83%	78%	71%	87%	73%	84%	87%	89%	84%	82%
84.3%		94%	92%	88%	87%	87%	88%	88%	87%	87%	91%	89%	79%	87%	52%	87%	91%	84%	89%	85%	51%	88%
83.7%		87%	90%	77%	90%	82%	69%	89%	76%	88%	84%	84%	87%	86%	48%	85%	78%	91%	92%	93%	92%	90%
85.8%		84%	84%	89%	86%	84%	91%	73%	90%	86%	88%	85%	72%	80%	90%	90%	91%	91%	78%	88%	91%	91%
83.5%		91%	91%	88%	86%	62%	88%	87%	82%	91%	86%	94%	89%	80%	48%	86%	91%	88%	85%	87%	66%	88%
75.0%		73%	68%	73%	71%	69%	79%	75%	86%	61%	82%	82%	62%	54%	84%	90%	89%	80%	78%	67%	81%	70%
84.5%		93%	86%	92%	93%	63%	75%	79%	80%	91%	97%	97%	67%	94%	75%	82%	89%	79%	91%	68%	94%	90%
81.0%		90%	90%	94%	89%	82%	88%	82%	78%	87%	76%	80%	82%	65%	82%	77%	76%	74%	66%	74%	84%	85%
75.2%		73%	73%	69%	80%	77%	87%	67%	77%	75%	69%	76%	80%	75%	71%	81%	73%	88%	70%	67%	82%	70%
66.8%		70%	61%	68%	66%	58%	71%	79%	74%	78%	70%	51%	83%	70%	53%	54%	67%	79%	64%	67%	59%	61%
85.0%		92%	85%	92%	94%	90%	76%	91%	85%	78%	91%	74%	87%	87%	63%	85%	90%	86%	76%	85%	91%	88%
81.3%		76%	82%	91%	86%	85%	76%	78%	79%	86%	91%	88%	55%	96%	53%	84%	89%	69%	73%	87%	96%	88%
77.7%		79%	82%	81%	72%	74%	86%	77%	90%	81%	79%	77%	89%	81%	57%	69%	77%	79%	74%	77%	73%	78%
87.2%		99%	95%	93%	93%	91%	81%	88%	95%	78%	97%	96%	81%	81%	74%	98%	80%	85%	85%	98%	77%	66%
85.5%		85%	95%	89%	90%	75%	87%	86%	79%	93%	92%	88%	75%	70%	90%	89%	91%	90%	72%	93%	95%	72%
85.8%		92%	83%	89%	90%	89%	88%	87%	79%	88%	90%	89%	74%	91%	77%	86%	94%	83%	72%	84%	83%	93%
86.6%		92%	88%	93%	87%	90%	92%	91%	84%	90%	83%	88%	77%	90%	81%	89%	87%	88%	72%	85%	86%	86%
67.1%		83%	69%	73%	71%	40%	55%	70%	73%	75%	83%	62%	66%	67%	59%	68%	75%	58%	69%	49%	59%	85%
75.7%		81%	81%	75%	94%	81%	67%	67%	86%	85%	69%	87%	70%	89%	63%	82%	68%	72%	54%	78%	72%	68%
59.1%		74%	66%	58%	59%	70%	59%	59%	56%	61%	64%	59%	62%	60%	51%	48%	61%	48%	47%	55%	62%	63%
83.9%		95%	88%	90%	92%	87%	79%	90%	89%	88%	90%	83%	82%	90%	43%	87%	87%	85%	78%	89%	68%	81%
86.0%		93%	91%	87%	83%	69%	84%	92%	91%	94%	90%	91%	83%	80%	66%	90%	88%	89%	85%	84%	84%	91%
55.4%		69%	46%	65%	71%	66%	45%	59%	52%	64%	57%	63%	47%	56%	50%	42%	87%	51%	38%	39%	45%	51%
85.9%		90%	87%	93%	92%	91%	72%	91%	79%	78%	92%	82%	80%	91%	77%	92%	86%	79%	82%	92%	87%	91%
68.8%		77%	65%	63%	81%	94%	63%	64%	67%	74%	79%	73%	59%	76%	61%	71%	81%	62%	50%	58%	69%	57%
72.3%		77%	75%	84%	85%	68%	69%	79%	67%	74%	72%	71%	77%	72%	44%	73%	77%	71%	60%	83%	69%	71%
86.0%		95%	86%	90%	98%	91%	93%	91%	88%	90%	93%	90%	69%	94%	79%	81%	92%	71%	81%	82%	66%	85%
75.4%		86%	80%	81%	79%	76%	63%	72%	73%	74%	76%	69%	77%	73%	75%	82%	77%	76%	80%	70%	67%	77%
86.4%		94%	87%	96%	93%	84%	93%	94%	80%	90%	98%	89%	80%	95%	81%	86%	85%	72%	58%	87%	75%	98%
85.7%		89%	94%	89%	91%	60%	77%	87%	87%	85%	92%	87%	92%	91%	50%	93%	91%	88%	82%	88%	94%	92%
82.0%		91%	85%	85%	87%	66%	95%	86%	84%	79%	86%	83%	80%	93%	52%	88%	88%	87%	83%	86%	47%	91%
86.0%		89%	95%	88%	95%	85%	88%	91%	92%	91%	87%	93%	81%	89%	88%	91%	89%	71%	29%	87%	96%	91%
81.0%		88%	85%	78%	88%	83%	80%	85%	95%	82%	71%	80%	64%	88%	78%	90%	80%	82%	81%	72%	73%	79%
77.1%		88%	87%	78%	75%	77%	81%	73%	71%	73%	77%	88%	52%	73%	60%	84%	84%	74%	81%	72%	92%	79%
80.1%		82%	83%	81%	79%	81%	83%	75%	77%	80%	82%	76%	81%	81%	80%	83%	82%	83%	88%	76%	79%	71%
85.1%		72%	93%	82%	88%	89%	90%	86%	68%	76%	84%	97%	94%	73%	94%	82%	86%	80%	94%	92%	88%	79%
76.0%		92%	71%	90%	80%	63%	65%	79%	73%	62%	92%	64%	84%	90%	45%	81%	83%	87%	61%	57%	89%	88%
81.5%		92%	87%	91%	78%	65%	79%	83%	74%	73%	90%	82%	81%	94%	71%	83%	85%	89%	54%	86%	83%	92%
87.7%		98%	91%	91%	91%	72%	94%	85%	87%	87%	84%	97%	90%	91%	83%	87%	89%	87%	83%	89%	77%	89%
70.8%		72%	60%	84%	93%	82%	68%	71%	74%	87%	78%	58%	64%	83%	53%	56%	73%	59%	70%	57%	62%	83%
78.0%		86%	79%	86%	82%	62%	61%	85%	79%	68%	82%	79%	86%	87%	40%	83%	85%	74%	84%	80%	90%	81%
78.4%		87%	77%	92%	84%	62%	82%	90%	83%	76%	63%	84%	82%	80%	71%	66%	74%	84%	64%	84%	87%	75%
77.1%		82%	85%	90%	91%	76%	81%	78%	79%	77%	84%	61%	75%	77%	59%	70%	87%	80%	55%	76%	77%	79%
83.2%		96%	87%	91%	90%	86%	75%	85%	80%	90%	85%	86%	88%	86%	56%	89%	89%	85%	76%	56%	83%	88%
79.2%		81%	86%	81%	84%	74%	82%	77%	82%	83%	84%	82%	81%	86%	54%	80%	85%	80%	53%	83%	83%	82%
80.7%		87%	83%	96%	85%	84%	75%	87%	81%	83%	88%	63%	76%	88%	39%	89%	92%	83%	67%	85%	77%	86%
91.1%		90%	95%	96%	91%	89%	79%	86%	90%	93%	90%	98%	89%	98%	93%	88%	93%	90%	92%	94%	88%	91%
85.2%		81%	98%	85%	86%	91%	82%	88%	81%	87%	94%	94%	65%	94%	71%	87%	94%	85%	69%	85%	88%	85%
80.3%		86%	83%	89%	85%	61%	80%	87%	86%	83%	89%	85%	74%	88%	71%	80%	83%	77%	67%	77%	78%	77%
89.6%		98%	94%	77%	93%	88%	89%	84%	96%	97%	89%	98%	73%	84%	90%	98%	95%	87%	82%	86%	94%	90%
83.9%		81%	93%	92%	77%	88%	81%	93%	80%	89%	89%	83%	79%	86%	73%	76%	88%	84%	80%	86%	77%	86%
80.0%		86%	86%	82%	85%	58%	75%	81%	75%	82%	86%	80%	86%	90%	48%	79%	86%	76%	83%	86%	86%	84%
68.2%		83%	65%	80%	73%	66%	67%	71%	71%	71%	64%	68%	63%	68%	35%	59%	73%	78%	62%	74%	70%	71%
71.9%		81%	74%	79%	79%	77%	60%	63%	62%	76%	80%	77%	73%	68%	44%	74%	76%	59%	77%	76%	81%	73%
63.0%		84%	55%	86%	84%	83%	50%	64%	78%	75%	72%	55%	12%	83%	22%	44%	77%	51%	36%	56%	88%	67%
82.1%		86%	83%	79%	84%	80%	77%	79%	79%	81%	92%	86%	82%	77%	76%	87%	86%	79%	87%	95%	83%	67%
80.5%		83%	82%	71%	75%	89%	89%	83%	74%	85%	75%	91%	69%	80%	86%	93%	74%	83%	74%	84%	80%	71%
66.6%		87%	57%	95%	95%	66%	36%	58%	53%	79%	75%	61%	58%	68%	31%	88%	85%	49%	62%	51%	65%	80%
78.8%		89%	83%	85%	81%	54%	87%	71%	80%	73%	87%	74%	76%	90%	91%	92%	59%	78%	79%	79%	78%	68%
81.1%		85%	87%	91%	91%	66%	81%	90%	78%	90%	91%	86%	22%	91%	54%	90%	84%	87%	78%	81%	88%	93%
59.7%		59%	63%	69%	68%	64%	57%	57%	55%	60%	61%	43%	66%	58%	50%	52%	62%	59%	52%	71%	63%	65%
84.0%		94%	87%	75%	87%	86%	68%	85%	82%	80%	87%	82%	88%	82%	72%	92%	87%	81%	87%	90%	86%	85%
80.7%		87%	85%	92%	92%	60%	70%	89%	78%	66%	87%	83%	37%	91%	73%	88%	88%	90%	73%	82%	92%	92%
84.1%		90%	78%	93%	95%	48%	86%	89%	88%	87%	80%	86%	90%	91%	83%	82%	79%	90%	80%	89%	81%	82%
80.1%		85%	73%	89%	87%	96%	55%	73%	70%	81%	95%	90%	62%	87%	81%	95%	84%	74%	83%	59%	90%	73%
73.7%		82%	76%	85%	75%	71%	51%	76%	65%	62%	92%	74%	69%	89%	29%	64%	83%	75%	81%	79%	78%	91%
75.0%		83%	72%	75%	82%	71%	78%	69%	79%	77%	84%	67%	67%	73%	85%	86%	73%	75%	77%	60%	73%	70%
82.3%		87%	93%	87%	95%	73%	76%	94%	94%	90%	79%	95%	87%	76%	51%	77%	90%	87%	86%	33%	94%	84%
89.9%		90%	90%	95%	95%	86%	94%	86%	94%	83%	91%	90%	92%	89%	90%	85%	91%	91%	81%	94%	91%	90%
83.2%		85%	83%	83%	79%	93%	66%	78%	93%	90%	85%	90%	65%	83%	73%	86%	80%	87%	95%	79%	82%	92%
85.2%		84%	89%	82%	84%	85%	90%	91%	81%	89%	90%	88%	70%	93%	82%	89%	96%	85%	65%	75%	90%	92%
79.6%		92%	67%	72%	88%	68%	67%	95%	90%	91%	88%	91%	68%	77%	77%	85%	94%	71%	65%	71%	93%	62%
77.3%		83%	91%	59%	37%	62%	78%	76%	85%	92%	64%	90%	56%	83%	91%	91%	85%	79%	72%	80%	78%	91%
67.4%		72%	62%	63%	67%	79%	47%	50%	65%	77%	81%	75%	57%	77%	66%	65%	87%	67%	75%	54%	67%	63%
72.7%		74%	69%	77%	77%	85%	82%	74%	75%	76%	68%	74%	68%	75%	76%	67%	72%	74%	60%	72%	63%	68%
82.9%		92%	90%	73%	88%	89%	91%	81%	89%	86%	86%	83%	75%	86%	83%	80%	80%	86%	92%	75%	67%	68%
86.2%		94%	90%	89%	94%	82%	64%	90%	78%	85%	94%	82%	90%	87%	76%	89%	95%	83%	79%	92%	89%	88%
86.0%		92%	92%	93%	91%	75%	94%	90%	90%	85%	88%	84%	89%	89%	82%	63%	94%	76%	78%	84%	83%	94%
90.0%		95%	87%	92%	90%	95%	89%	91%	94%	94%	93%	90%	93%	94%	89%	86%	96%	89%	80%	83%	82%	89%
85.5%		90%	92%	91%	90%	59%	75%	91%	89%	84%	88%	84%	91%	95%	48%	90%	93%	84%	90%	92%	90%	90%
91.2%		90%	82%	95%	96%	92%	92%	95%	87%	97%	98%	99%	76%	87%	85%	94%	99%	90%	90%	87%	90%	94%
68.2%		81%	70%	76%	76%	72%	54%	67%	64%	73%	74%	61%	69%	66%	35%	74%	71%	81%	63%	75%	66%	65%