Models
Qwen
Artificial Analysis Intelligence Index v4.0

@ArtificialAnlysX · May 21, 2026

Artificial Analysis Intelligence Index v4.0

@ArtificialAnlys's benchmark bar chart drew 332.3K views on X: 29x @artificialanlys's median post and #197 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Artificial Analysis Intelligence Index v4.0 rankings

XData Benchmark bar chart Qwen3.7 All Qwen models Gemini 3.1 Pro Gemini 3 Flash Muse Spark GLM-5.1GPT-5.5 (high)Claude Opus 4.5GPT-5.4 (high)Qwen3.7 Max

@ArtificialAnlys: Artificial Analysis Intelligence Index v4.0 — Published by @ArtificialAnlys on X, May 21, 2026. Source: x.com

63/ 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.

#385 of 1,162 AI chart posts we hold · #118 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 #385 of 1,162 AI chart posts.

Its 332K views sit 29x above @ArtificialAnlys's 11.4K median, ranking #34 of 491 @ArtificialAnlys posts.

Engagement lands at 0.38%, the 16th percentile among AI chart posts and below the 0.73% median.

It was #1 of 3 @ArtificialAnlys posts that day, ahead of the SWE-Atlas-OnA Coding Agent Index vs. Cost per Task post at 247K views.

29x@artificialanlys's median post

332.3K views, where @artificialanlys's typical post gets 11.4K.

7.5xthe median benchmark bar chart post

Across 215 benchmark bar chart posts we hold, the median gets 44.4K views.

bottom 16%engagement rate

0.38% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

3posts from @artificialanlys that day

Part of a run of 3 posts on May 21, 2026. This one was #1 of 3 by views that day.

Public X numbers from our read on Oct 13, 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 #385 of 1,162

Views	332.3K	#197	top 17%
Likes	1K	#262	top 23%
Engagement rate	0.38%	#977	bottom 16%
Save rate	0.049%	#836	bottom 28%

Among 491 @artificialanlys posts

Score #118 of 491

Views	332.3K	#34	top 7%
Likes	1K	#52	top 10%
Engagement rate	0.38%	#435	bottom 12%
Save rate	0.049%	#338	bottom 31%

Growth

Our reads cover 28 hours

Views332.3K

Age at our read145 days

Views per day of life2.3Kviews divided by days since it was posted

Gained between our reads+5views over 28 hours, about 4 a day now

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 · May 21, 2026

@ArtificialAnlys posts Artificial Analysis Intelligence Index v4.0 chart

The benchmark bar chart drew 332K views, 29x @ArtificialAnlys's median, while engagement came in at 0.38%.

What happened

@ArtificialAnlys published a benchmark bar chart on May 21, 2026, covering Artificial Analysis Intelligence Index v4.0 rankings. It was one of 3 @ArtificialAnlys posts that day, alongside posts on SWE-Atlas-OnA Coding Agent Index vs. Cost per Task and AA-Omniscence Index and Accuracy.

The numbers

It reached 332K views, #197 of 1,162 AI chart posts and #34 of 491 @ArtificialAnlys posts. Its 0.38% engagement rate ranked #977 of 1,162 AI chart posts.

The lesson

At 30 models shown, the chart drew 332K views but a 0.38% engagement rate, below the 0.73% median among AI chart posts. A benchmark bar chart with 30 models can travel on views while its engagement rate sits at the 16th percentile.

What it means

For @ArtificialAnlys, the 29x gap over its 11.4K median views came with a 0.38% engagement rate, below its own 0.82% median. The post's #385 of 1,162 AI chart posts score rank shows the view lead did not carry into engagement.

Written by ViralChart from public numbers read on Oct 13, 2026. Every number is checked against our data before it is shown.

Updates: what @artificialanlys posted next

Data and API

41 points read off this chart

Estimated from the image 67%

Group	Value	Read
GPT-5.5 (High)	60.2 index	printed
Claude Opus 4.5 (High)	57.3 index	printed
Gemini 3.1 Pro (High)	57.2 index	printed
GPT-5.4 (High)	56.8 index	printed
Grok 4.1 (High)	56.6 index	estimated
Gemini 3.1 Flash (High)	55.3 index	estimated
Kimi K2.5	53.9 index	estimated
MiniMax-M2.7	53.8 index	printed
Grok 4.1 (High)	53.2 index	estimated
Muse Spark	52.2 index	printed
Qwen3.5 (High)	51.8 index	estimated
Claude Opus 4.5 (High)	51.7 index	estimated

Showing 12 of 41. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/c5c88413a6a0.json
GET https://viral-chart.com/api/charts/c5c88413a6a0.json
GET https://viral-chart.com/api/charts/c5c88413a6a0.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 c5c88413a6a0.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/c5c88413a6a0`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/c5c88413a6a0/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/c5c88413a6a0/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/c5c88413a6a0/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 May 21, 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.