Models
OpenAI
Intelligence vs. Price: Non-Reasoning Models

@ArtificialAnlysX · Apr 15, 2025

Intelligence vs. Price: Non-Reasoning Models

@ArtificialAnlys's scatter plot drew 93.9K views on X: 8.2x @artificialanlys's median post and #392 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Most attractive quadrant highlighted for non-reasoning models

XData Scatter plot GPT-4 All OpenAI models GPT-4.1 Claude 3.7 Sonnet Llama 4 Scout Llama 4 MaverickGPT-4.1 miniGPT-4.1 nanoGPT-4o (Nov '24)GPT-4o mini

@ArtificialAnlys: Intelligence vs. Price: Non-Reasoning Models — Published by @ArtificialAnlys on X, Apr 15, 2025. Source: x.com

59/ 100

ViralChart score

Wide but thin

More views than the median post but a lower engagement rate: many saw it, few acted. Common for big accounts.

#468 of 1,162 AI chart posts we hold · #147 of 491 @artificialanlys posts. Score = views 40%, likes 30%, engagement rate 15%, save rate 15%, each as a percentile of every AI chart post we hold.

Our read

The post sits in the Wide but thin quadrant, with a score rank of #468 of 1,162 AI chart posts.

Its 93.9K views are 8.2x @ArtificialAnlys's median post, ranking #91 of 491 @ArtificialAnlys posts by views.

The post carries 2 charts, and every chart in the post shares the post's numbers.

It ranked #1 of 2 posts from this account that day, against 9K views for the other post.

8.2x@artificialanlys's median post

93.9K views, where @artificialanlys's typical post gets 11.4K.

2charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

3.7xthe median scatter plot post

Across 241 scatter plot posts we hold, the median gets 25.6K views.

2posts from @artificialanlys that day

Part of a run of 2 posts on Apr 15, 2025. This one was #1 of 2 by views that day.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 491 from @artificialanlys.

Where it sits

Reach against resonance

Each dot is a post. Right is more views, up is a higher engagement rate. The lines are the medians, so the four corners are the four kinds of post.

Among 1,162 AI chart posts we hold

Score #468 of 1,162

Views	93.9K	#392	top 34%
Likes	428	#487	top 42%
Engagement rate	0.55%	#763	bottom 34%
Save rate	0.102%	#419	top 36%

Among 491 @artificialanlys posts

Score #147 of 491

Views	93.9K	#91	top 18%
Likes	428	#141	top 29%
Engagement rate	0.55%	#357	bottom 27%
Save rate	0.102%	#188	top 38%

Growth

One read so far

Views93.9K

Age at our read545 days

Views per day of life172views divided by days since it was posted

Dots are our reads. The dotted line from the day it was posted to our first read is a gap, not data.

@artificialanlys's posts over time

Every post from this account we hold, by date and views. This one is marked; the line is the running median of the last 10.

News · Apr 15, 2025

@ArtificialAnlys posts Intelligence vs. Price scatter for non-reasoning models

The April 15, 2025 post drew 93.9K views and 428 likes, with a 0.55% engagement rate and a 0.10% save rate.

What happened

On April 15, 2025, @ArtificialAnlys published a scatter plot on Intelligence vs. Price for non-reasoning models, with 15 models shown and 2 charts in the post. That day the account posted 2 times, including a post on GPQA Diamond (Scientific Reasoning): Open Weights Models.

The numbers

The post reached 93.9K views, ranking #392 of 1,162 AI chart posts by views and #91 of 491 @ArtificialAnlys posts. Its score rank is #468 of 1,162 AI chart posts.

The lesson

A 2-chart post with 15 models shown drew 93.9K views, 8.2x @ArtificialAnlys's median of 11.4K, but its 0.10% save rate sits below the 0.55% engagement rate.

What it means

For @ArtificialAnlys, this post's 93.9K views rank #91 of 491 @ArtificialAnlys posts, while its score rank is #468 of 1,162 AI chart posts, showing a gap between views and score.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Updates: what @artificialanlys posted next

Data and API

14 points read off this chart

Estimated from the image 39%

Group	Value	Read
DeepSeek V3 (Mar' 25)	54 index	estimated
GPT-4.1 mini	53 index	estimated
Llama 4 Maverick	51 index	estimated
Gemini 2.0 Flash	48 index	estimated
Llama 4 Scout	41 index	estimated
GPT-4.1 nano	38 index	estimated
Mistral Small 3.1	35 index	estimated
Nova Pro	37 index	estimated
Claude 3.5 Haiku	34 index	printed
GPT-4.1	52 index	estimated
GPT-4o (Nov '24)	41 index	estimated
Mistral Large 2 (Nov '24)	38 index	estimated

Showing 12 of 14. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/2505586f1a92.json
GET https://viral-chart.com/api/charts/2505586f1a92.json
GET https://viral-chart.com/api/charts/2505586f1a92.skill.md

Make one like this Open the post JSON Chart data JSON Skill file API docs

Static files in this prototype. The post JSON holds the public numbers, ranks, score, quadrant, our reads and, when checked, our copy.

API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 2505586f1a92.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.39 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/2505586f1a92`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/2505586f1a92/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/2505586f1a92/render?view=1`	The draw-only view this page uses	Open
POST	`/mcp`	Tool get_chart_data with this id, for Claude, Cursor and other agents	Max

curlMax

curl -s https://viral-chart.com/api/v1/charts/2505586f1a92/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"

Claude CodeMax

claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

Where does this chart come from?

@ArtificialAnlys published it on Apr 15, 2025 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

Can I make a chart like this?

Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.