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@ArtificialAnlysX · May 19, 2026

AI Model Cost vs Performance Analysis

@ArtificialAnlys's annotated chart drew 11.6K views on X: 1.0x @artificialanlys's median post and #795 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI model cost and performance comparison

XDataAnnotated chartGemini 3All Google modelsGemini 3.1 ProDeepSeek V4Claude Opus 4.5GPT-5.2 (high)Kimi K2.6MiniMax-M2.7
Published by @ArtificialAnlys on X, May 19, 2026. Source: x.com
41/ 100

ViralChart score

Small but loved

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

#743 of 1,162 AI chart posts we hold · #218 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

It lands in Small but loved: views below the AI chart median, engagement at or above it, at #743 of 1,162 AI chart posts.

On May 19, 2026 the account posted 5 times, and this post ranked #2 of 5 by views that day.

Its score of 41 sits at #743 of 1,162 AI chart posts and #218 of 491 @ArtificialAnlys posts.

Engagement of 0.86% is 1.2x the AI chart median of 0.73%, at the 63rd percentile.

5posts from @artificialanlys that day

Part of a run of 5 posts on May 19, 2026. This one was #2 of 5 by views that day.

0.5xthe median annotated chart post

Across 62 annotated chart posts we hold, the median gets 22.8K views.

top 37%engagement rate

0.86% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

top 40%save rate

0.095% 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 #743 of 1,162

Views11.6K#795bottom 32%
Likes84#784bottom 33%
Engagement rate0.86%#434top 37%
Save rate0.095%#461top 40%

Among 491 @artificialanlys posts

Score #218 of 491

Views11.6K#244top 50%
Likes84#239top 49%
Engagement rate0.86%#217top 44%
Save rate0.095%#203top 41%

Growth

One read so far

Views11.6K
Age at our read146 days
Views per day of life79views 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 · May 19, 2026

@ArtificialAnlys posts AI model cost and performance comparison

An annotated chart on AI model cost and performance drew 11.6K views and 0.86% engagement, above the AI chart median rate.

What happened

@ArtificialAnlys published an annotated chart on AI model cost and performance on May 19, 2026. It was one of 5 posts from the account that day, alongside AI Model Intelligence vs Output Speed, GDPval-AA Leaderboard and AA-Omniscence Index and Accuracy.

The numbers

The post reached 11.6K views, #795 of 1,162 AI chart posts, against a median of 39.9K among AI chart posts. Its score of 41 ranks #743 of 1,162 AI chart posts and #218 of 491 @ArtificialAnlys posts.

The lesson

The chart shows printed cost values from 1001 to 3328.5 across 6 models, and the post's 0.86% engagement rate is 1.2x the AI chart median of 0.73%. A 1-chart post with 6 models can hold an above-median engagement rate even at 11.6K views.

What it means

At #218 of 491 @ArtificialAnlys posts and #743 of 1,162 AI chart posts, this post sits below the account's own chart output on score. The 0.86% engagement rate against the account's own median of 0.82% is the gap that separates it from the account's typical chart post.

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

132 points read off this chart

Estimated from the image 50%
SeriesGroupValueRead
OutputClaude Opus 4.5 (high)5317 USDestimated
ReasoningClaude Opus 4.5 (high)2319 USDprinted
InputClaude Opus 4.5 (high)2319 USDprinted
OutputClaude Opus 4.5 (medium)4206 USDestimated
ReasoningClaude Opus 4.5 (medium)3801 USDestimated
InputClaude Opus 4.5 (medium)2319 USDprinted
OutputGPT-5.2 (high)3328.5 USDprinted
ReasoningGPT-5.2 (high)3101 USDestimated
InputGPT-5.2 (high)2030 USDestimated
OutputGPT-5.2 (low)2861 USDestimated
ReasoningGPT-5.2 (low)1042 USDestimated
InputGPT-5.2 (low)1717 USDestimated

Showing 12 of 132. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/c71c085aebc7.json
GET https://viral-chart.com/api/charts/c71c085aebc7.json
GET https://viral-chart.com/api/charts/c71c085aebc7.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 c71c085aebc7.

PathReturnsPlan
GET/api/v1/charts/c71c085aebc7Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/c71c085aebc7/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/c71c085aebc7/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/c71c085aebc7/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 19, 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.