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@ArtificialAnlysX · Jul 8, 2026

AI Coding Agent Cost vs Performance

@ArtificialAnlys's scatter plot drew 442.3K views on X: 39x @artificialanlys's median post and #165 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

AI coding agent cost vs performance comparison

XDataScatter plotClaude CodeAll Anthropic modelsCodexAnthropicOpenAISpaceXAIZ.aiCursorGemini
Published by @ArtificialAnlys on X, Jul 8, 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.

#384 of 1,162 AI chart posts we hold · #117 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 #384 of 1,162 AI chart posts by score.

Its 442K views sit 39x above @ArtificialAnlys's 11.4K median post, ranking #28 of 491 @ArtificialAnlys posts.

The 0.016% save rate lands in the bottom decile, 7th percentile among AI chart posts, at #1,077 of 1,162 AI chart posts.

It was one of 5 posts from this account that day, ranking #3 of 5 by views.

39x@artificialanlys's median post

442.3K views, where @artificialanlys's typical post gets 11.4K.

20xthe median scatter plot post

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

bottom 7%save rate

0.016% of viewers bookmarked it to come back to. The median post gets 0.076%.

5posts from @artificialanlys that day

Part of a run of 5 posts on Jul 8, 2026. This one was #3 of 5 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 #384 of 1,162

Views442.3K#165top 14%
Likes1.4K#210top 18%
Engagement rate0.42%#930bottom 20%
Save rate0.016%#1,077bottom 7%

Among 491 @artificialanlys posts

Score #117 of 491

Views442.3K#28top 6%
Likes1.4K#36top 7%
Engagement rate0.42%#416bottom 15%
Save rate0.016%#444bottom 10%

Growth

Our reads cover 22 hours

Views442.3K
Age at our read97 days
Views per day of life4.6Kviews divided by days since it was posted
Gained between our reads+6views over 22 hours, about 7 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 · Jul 8, 2026

@ArtificialAnlys scatter plot on AI coding agent cost vs performance

A 15-model scatter plot drew 442K views against a 39.9K median among AI chart posts, with a 0.016% save rate.

What happened

@ArtificialAnlys posted a scatter plot on AI coding agent cost vs performance on July 8, 2026. It was one of 5 posts from the account that day, alongside posts on AI model benchmarks and a GDPval-AA v2 leaderboard.

The numbers

The post reached 442K views, #165 of 1,162 AI chart posts, and #28 of 491 @ArtificialAnlys posts. Its score of 63 ranks #384 of 1,162 AI chart posts.

The lesson

A 15-model scatter plot drew a 0.016% save rate, 7th percentile among AI chart posts. The chart shows printed values from 50 to 80, and the save rate sits in the bottom decile.

What it means

At #117 of 491 @ArtificialAnlys posts by score, this post trails the account's own top ranks despite 442K views. The 0.016% save rate against a 0.076% median among AI chart posts marks the gap between reach and saves.

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

22 points read off this chart

Estimated from the image 50%
SeriesGroupValueRead
AnthropicClaude Code - Opus 4.5 (max) (Anthropic)80 USDprinted
AnthropicClaude Code - Opus 4.5 (medium) (Anthropic)70 USDprinted
AnthropicClaude Code - Opus 4.5 (low) (Anthropic)60 USDprinted
AnthropicClaude Code - Sonnet 4.5 (Anthropic)55 USDprinted
AnthropicClaude Code - Haiku 4.5 (Anthropic)50 USDprinted
OpenAICodex - GPT-5.5 (high) (OpenAI)75 USDprinted
OpenAICodex - GPT-5.5 (medium) (OpenAI)65 USDprinted
OpenAICodex - GPT-5.5 (low) (OpenAI)55 USDprinted
OpenAICodex - GPT-5.1-Codex (OpenAI)50 USDprinted
OpenAICodex - GPT-5.1 (high) (OpenAI)45 USDprinted
SpaceXAIGrok Code - Grok 4.5 (high) (SpaceXAI)70 USDprinted
SpaceXAIGrok Code - Grok 4.5 (medium) (SpaceXAI)60 USDprinted

Showing 12 of 22. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/e4bcb29614ab.json
GET https://viral-chart.com/api/charts/14746d7559d8.json
GET https://viral-chart.com/api/charts/14746d7559d8.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 14746d7559d8.

PathReturnsPlan
GET/api/v1/charts/14746d7559d8Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/14746d7559d8/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/14746d7559d8/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/14746d7559d8/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 Jul 8, 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.