Models
OpenAI
Intelligence vs. Total Parameters

@ArtificialAnlysX · Mar 20, 2026

Intelligence vs. Total Parameters

@ArtificialAnlys's scatter plot drew 5.2K views on X: 0.5x @artificialanlys's median post and #934 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Most attractive quadrant for AI models

XData Scatter plot gpt-oss All OpenAI modelsQwen3.5 9BQwen3.5 122B A10BQwen3.5 35B A3BGLM-4.7-FlashNVIDIA Nemotron 3 Supergpt-oss-20B (high)gpt-oss-120B (high)NVIDIA Nemotron 3 Nano

@ArtificialAnlys: Intelligence vs. Total Parameters — Published by @ArtificialAnlys on X, Mar 20, 2026. Source: x.com

23/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#1,028 of 1,162 AI chart posts we hold · #391 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 lands in the Quiet quadrant, at #1,028 of 1,162 AI chart posts.

Its score of 23 sits at #1,028 of 1,162 AI chart posts.

At 5.2K views against a company median of 11.4K, the post runs 0.45x.

It was #2 of 3 @ArtificialAnlys posts that day.

0.2xthe median scatter plot post

Across 187 scatter plot posts we hold, the median gets 22.4K views.

3posts from @artificialanlys that day

Part of a run of 3 posts on Mar 20, 2026. This one was #2 of 3 by views that day.

0.5x@artificialanlys's median post

5.2K views, where @artificialanlys's typical post gets 11.4K.

bottom 35%engagement rate

0.56% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

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 #1,028 of 1,162

Views	5.2K	#934	bottom 20%
Likes	27	#971	bottom 16%
Engagement rate	0.56%	#759	bottom 35%
Save rate	0.058%	#745	bottom 36%

Among 491 @artificialanlys posts

Score #391 of 491

Views	5.2K	#329	bottom 33%
Likes	27	#354	bottom 28%
Engagement rate	0.56%	#354	bottom 28%
Save rate	0.058%	#305	bottom 38%

Growth

One read so far

Views5.2K

Age at our read206 days

Views per day of life25views 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 · Mar 20, 2026

@ArtificialAnlys plots Intelligence vs. Total Parameters in a scatter

A scatter plot of 11 models drew 5.2K views and a 0.56% engagement rate, below the AI chart median.

What happened

@ArtificialAnlys posted a scatter plot on March 20, 2026, charting Artificial Analysis Intelligence Index against total parameters for 11 models. It was one of 3 posts from the account that day, alongside Artificial Analysis Intelligence Index v4.0 and Output Reasoning vs Answer Tokens for AI Models.

The numbers

The post reached 5.2K views, ranking #934 of 1,162 AI chart posts by views and #329 of 491 @ArtificialAnlys posts. Its score of 23 ranks #1,028 of 1,162 AI chart posts and #391 of 491 @ArtificialAnlys posts.

The lesson

A scatter plot with 11 models drew a 0.058% save rate against a 0.56% engagement rate. The chart shows printed values from 15 to 31.5 on the Intelligence Index.

What it means

At 0.45x the company median of 11.4K views, this post sits below @ArtificialAnlys's own typical reach. Its #391 of 491 @ArtificialAnlys posts places it in the account's lower range.

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 64%

Series	Group	Value	Read
Alibaba	Qwen3.5 98?	32	estimated
Alibaba	Qwen3.5 122B A10B?	42	estimated
Alibaba	Qwen3.5 35B A3B?	30	estimated
Mistral	Mistral Small 3.2	15	printed
Mistral	Mistral Small 4	18	printed
Mistral	Mistral Large 3	17.5	printed
NVIDIA	NVIDIA Nemotron 3 Nano?	24	estimated
NVIDIA	NVIDIA Nemotron 3 Super?	32	estimated
OpenAI	gpt-oss-20B (high)?	24	printed
OpenAI	gpt-oss-120B (high)?	31.5	printed
Z AI	GLM-4.7-Flash?	30	estimated
	Qwen3.5 98B	32	estimated

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

Max plan · API

GET https://viral-chart.com/api/posts/aaa017e7945a.json
GET https://viral-chart.com/api/charts/aaa017e7945a.json
GET https://viral-chart.com/api/charts/aaa017e7945a.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 aaa017e7945a.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/aaa017e7945a`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/aaa017e7945a/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/aaa017e7945a/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/aaa017e7945a/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 Mar 20, 2026 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.