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@ArtificialAnlysX · Sep 1, 2026

Artificial Analysis Intelligence Index vs Cost

@ArtificialAnlys's scatter plot drew 506.8K views on X: 44x @artificialanlys's median post and #147 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Intelligence Index vs Cost per Task

XDataScatter plotClaude Fable 5All Anthropic modelsGPT-5.6 Luna (max)GLM-5.3-FlashMiniMax-M3Muse Spark 1.2 (high)Kimi K3 (max)Grok 4.6 (high)Claude Opus 5 (max)Claude Fable 5 (max)
Published by @ArtificialAnlys on X, Sep 1, 2026. Source: x.com
73/ 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.

#160 of 1,162 AI chart posts we hold · #32 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, at #160 of 1,162 AI chart posts by score.

Its 507K views sit 44x above the 11.4K median for @ArtificialAnlys posts, at #25 of 491 @ArtificialAnlys posts by views.

A score of 73 lands at #160 of 1,162 AI chart posts and #32 of 491 @ArtificialAnlys posts.

It was #1 of 3 posts from this account that day, ahead of 17.4K and 8.3K.

44x@artificialanlys's median post

506.8K views, where @artificialanlys's typical post gets 11.4K.

23xthe 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 Sep 1, 2026. This one was #1 of 3 by views that day.

bottom 28%engagement rate

0.49% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

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 #160 of 1,162

Views506.8K#147top 13%
Likes2.1K#147top 13%
Engagement rate0.49%#841bottom 28%
Save rate0.074%#596bottom 49%

Among 491 @artificialanlys posts

Score #32 of 491

Views506.8K#25top 5%
Likes2.1K#20top 4%
Engagement rate0.49%#383bottom 22%
Save rate0.074%#250bottom 49%

Growth

Our reads cover 27 hours

Views506.8K
Age at our read42 days
Views per day of life12.1Kviews divided by days since it was posted
Gained between our reads+30views over 27 hours, about 26 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 · Sep 1, 2026

@ArtificialAnlys posts Intelligence Index vs Cost scatter plot

A scatter plot of Intelligence Index against Cost per Task drew 507K views and a 0.49% engagement rate.

What happened

@ArtificialAnlys published a scatter plot on September 1, 2026, on Intelligence Index vs Cost per Task. It was one of 3 posts from this account that day, alongside posts on Intelligence Index vs. Cost per Task and AI Model Omniscience Metrics Comparison.

The numbers

The post reached 507K views, #147 of 1,162 AI chart posts and #25 of 491 @ArtificialAnlys posts. Its score of 73 ranks #160 of 1,162 AI chart posts.

The lesson

At 0.49% engagement and a 0.074% save rate, this 14-model scatter plot drew views without matching saves. The chart shows printed Intelligence Index values from 37.5 to 63.

What it means

Its 507K views sit 44x above the 11.4K median for @ArtificialAnlys posts, yet the 0.49% engagement rate is below the AI chart median. The gap between #25 of 491 @ArtificialAnlys posts by views and #32 of 491 by score is the thin part.

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

Data and API

34 points read off this chart

Estimated from the image 52%
SeriesGroupValueRead
Claude Opus 4.5 (high)66 indexestimated
Gemini 3.1 Pro (high)63 indexprinted
Claude Opus 4.5 (low)62 indexestimated
Gemini 3.1 Pro (low)61 indexestimated
GPT-5.2 (high)61 indexprinted
Grok 4.1 (high)60 indexprinted
Kimi K2.5 (high)60 indexestimated
Gemini 3.1 Flash (high)60 indexprinted
GPT-5.2 (low)58 indexestimated
Grok 4.1 (low)57 indexestimated
Gemini 3.1 Flash (low)57 indexestimated
Mistral Large 3 (high)57 indexestimated

Showing 12 of 34. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/c9c7b36168a2.json
GET https://viral-chart.com/api/charts/c9c7b36168a2.json
GET https://viral-chart.com/api/charts/c9c7b36168a2.skill.md

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 c9c7b36168a2.

PathReturnsPlan
GET/api/v1/charts/c9c7b36168a2Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/c9c7b36168a2/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/c9c7b36168a2/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/c9c7b36168a2/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 Sep 1, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

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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.