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@ArtificialAnlysX · Apr 18, 2026

Artificial Analysis Intelligence vs Cost to Run

@ArtificialAnlys's scatter plot drew 2.8K views on X: 0.2x @artificialanlys's median post and #1,045 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Most attractive quadrant shows best intelligence per cost

XDataScatter plotClaude Opus 4.6All Anthropic modelsAlibabaAnthropicDeepSeekGoogleKimiMiniMaxNVIDIAOpenAI
Published by @ArtificialAnlys on X, Apr 18, 2026. Source: x.com
19/ 100

ViralChart score

Small but loved

Fewer views than the median post but a higher engagement rate: a smaller crowd that acted on it.

#1,070 of 1,162 AI chart posts we hold · #425 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 Small but loved quadrant at #1,070 of 1,162 AI chart posts.

Its score of 19 lands at #1,070 of 1,162 AI chart posts.

At 2.8K views it runs 0.25x @ArtificialAnlys's median post, ranking #411 of 491 @ArtificialAnlys posts.

Its 0.035% save rate sits at 18th percentile among AI chart posts, 0.46x the 0.076% median.

0.1xthe median scatter plot post

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

0.2x@artificialanlys's median post

2.8K views, where @artificialanlys's typical post gets 11.4K.

4posts from @artificialanlys that day

Part of a run of 4 posts on Apr 18, 2026. This one was #4 of 4 by views that day.

bottom 18%save rate

0.035% of viewers bookmarked it to come back to. The median post gets 0.076%.

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 #1,070 of 1,162

Views2.8K#1,045bottom 10%
Likes20#1,021bottom 12%
Engagement rate0.78%#532top 46%
Save rate0.035%#959bottom 18%

Among 491 @artificialanlys posts

Score #425 of 491

Views2.8K#411bottom 16%
Likes20#385bottom 22%
Engagement rate0.78%#265bottom 46%
Save rate0.035%#392bottom 20%

Growth

One read so far

Views2.8K
Age at our read178 days
Views per day of life16views 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 18, 2026

@ArtificialAnlys scatter plot maps intelligence against cost to run

A 15-model scatter plot from @ArtificialAnlys drew 2.8K views and a 0.78% engagement rate, with saves below the AI chart median.

What happened

@ArtificialAnlys posted a scatter plot on Artificial Analysis Intelligence vs Cost to Run on April 18, 2026. It was one of 4 posts from the account that day, alongside an Artificial Analysis Intelligence Index v4.0 post, an AI Model Benchmarks Comparison post and an AA-Omniscence Index and Accuracy post.

The numbers

The post reached 2.8K views, ranking #1,045 of 1,162 AI chart posts and #411 of 491 @ArtificialAnlys posts. Its score of 19 ranks #1,070 of 1,162 AI chart posts and #425 of 491 @ArtificialAnlys posts.

The lesson

The chart shows 15 models on a scatter plot, and the post's 0.035% save rate sits at 18th percentile among AI chart posts. That is 0.46x the 0.076% median save rate for AI chart posts.

What it means

At #425 of 491 @ArtificialAnlys posts by score, this chart post trails the account's own body of work. Its 2.8K views against a 39.9K median among AI chart posts mark it as a low-reach entry.

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

17 points read off this chart

Estimated from the image 58%
SeriesGroupValueRead
DeepSeekDeepSeek V3.234 indexestimated
NVIDIANVIDIA Nemotron 3 Super34 indexestimated
MiniMaxMiniMax-M2.750 indexestimated
GoogleGemini 3 Flash44 indexestimated
XiaomiMiMo-V2-Pro50 indexestimated
xAIGrok 4.20 0309 v250 indexestimated
KimiKimi K2.546 indexestimated
AlibabaQwen3.5 397B A17B46 indexestimated
Z AIGLM-5.150 indexestimated
AnthropicClaude 4.5 Haiku36 indexestimated
OpenAIGPT-5.4 mini (xhigh)46 indexestimated
GoogleGemini 3.1 Pro Preview54 indexestimated

Showing 12 of 17. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/896c480d74c2.json
GET https://viral-chart.com/api/charts/896c480d74c2.json
GET https://viral-chart.com/api/charts/896c480d74c2.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 896c480d74c2.

PathReturnsPlan
GET/api/v1/charts/896c480d74c2Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/896c480d74c2/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/896c480d74c2/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/896c480d74c2/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 18, 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.