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  3. Intelligence Index vs. Cost per Intelligence Index Task
A
@ArtificialAnlysX · Aug 6, 2026

Intelligence Index vs. Cost per Intelligence Index Task

@ArtificialAnlys's scatter plot drew 82.1K views on X: 7.2x @artificialanlys's median post and #422 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Cost vs intelligence tradeoff across AI models

XDataScatter plotClaude Opus 5All Anthropic modelsXiaomiMetaGoogleAnthropicMiniMaxOpenAINVIDIAAlibaba
Published by @ArtificialAnlys on X, Aug 6, 2026. Source: x.com
49/ 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.

#637 of 1,162 AI chart posts we hold · #194 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 #637 of 1,162 AI chart posts.

Its 82.1K views sit 7.2x above @ArtificialAnlys's 11.4K median post, ranking #101 of 491 @ArtificialAnlys posts by views.

The 0.037% save rate lands at the 19th percentile among AI chart posts, against a 0.076% median.

It ranked #2 of 5 posts from this account on August 6, 2026.

7.2x@artificialanlys's median post

82.1K views, where @artificialanlys's typical post gets 11.4K.

5posts from @artificialanlys that day

Part of a run of 5 posts on Aug 6, 2026. This one was #2 of 5 by views that day.

bottom 19%save rate

0.037% of viewers bookmarked it to come back to. The median post gets 0.076%.

3.7xthe median scatter plot post

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

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 #637 of 1,162

Views82.1K#422top 36%
Likes350#534top 46%
Engagement rate0.49%#852bottom 27%
Save rate0.037%#946bottom 19%

Among 491 @artificialanlys posts

Score #194 of 491

Views82.1K#101top 20%
Likes350#155top 32%
Engagement rate0.49%#386bottom 21%
Save rate0.037%#385bottom 22%

Growth

One read so far

Views82.1K
Age at our read67 days
Views per day of life1.2Kviews 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 · Aug 6, 2026

@ArtificialAnlys scatter plot on cost vs intelligence

A 13-model scatter plot drew 82.1K views, 7.2x the account's median, but saved at the 19th percentile among AI chart posts.

What happened

@ArtificialAnlys posted a scatter plot on Intelligence Index vs. Cost per Intelligence Index Task on August 6, 2026, showing 13 models. It was one of 5 posts from the account that day, alongside Artificial Analysis Intelligence Index v4.1, GDPval-AA v2 Leaderboard, and AA-Omniscence Index and Accuracy.

The numbers

It reached 82.1K views, ranking #422 of 1,162 AI chart posts by views and #101 of 491 @ArtificialAnlys posts. Its score rank is #637 of 1,162 AI chart posts.

The lesson

A 0.037% save rate at the 19th percentile among AI chart posts shows this 13-model scatter was kept at a lower rate than the 0.076% median. The 82.1K views came with a 0.49% engagement rate.

What it means

At #194 of 491 @ArtificialAnlys posts by score, this scatter trails the account's own chart output despite 7.2x its median views. The 0.037% save rate against the 0.076% AI chart median marks a wide but thin result.

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

Data and API

12 points read off this chart

Estimated from the image 30%
SeriesGroupValueRead
Xiaomi50 indexestimated
Meta45 indexestimated
Google55 indexestimated
Anthropic40 indexestimated
MiniMax35 indexestimated
OpenAI60 indexestimated
Alibaba30 indexestimated
SpaceX25 indexestimated
Mistral20 indexestimated
Z AI50 indexestimated
Kimi55 indexestimated
DeepSeek65 indexestimated

Max plan · API

GET https://viral-chart.com/api/posts/7503a6965e0d.json
GET https://viral-chart.com/api/charts/7503a6965e0d.json
GET https://viral-chart.com/api/charts/7503a6965e0d.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 7503a6965e0d.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/7503a6965e0dTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/7503a6965e0d/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/7503a6965e0d/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/7503a6965e0d/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 Aug 6, 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.