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@ArtificialAnlysX · Sep 24, 2026

Cost per Task for AI Models

@ArtificialAnlys's bar chart drew 6.6K views on X: 0.6x @artificialanlys's median post and #886 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Cost per task varies widely across AI models

XDataBar chartClaude Opus 5All Anthropic modelsCodex (OpenAI)GPT-6 Luna (max)DeepSeek V4 Pro 0813 (max)Antigravity SDK (DeepSeek)Codex (max)GPT-6 Sol (OpenAI)Claude Code (max)Muse Code (Alibaba)
Published by @ArtificialAnlys on X, Sep 24, 2026. Source: x.com
27/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#966 of 1,162 AI chart posts we hold · #344 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 Quiet quadrant, at #966 of 1,162 AI chart posts by score.

Its #6 of 6 rank by views that day sits behind 5 other @ArtificialAnlys posts from September 24, 2026.

The score of 27 lands at #966 of 1,162 AI chart posts and #344 of 491 @ArtificialAnlys posts.

A 0.046% save rate is 0.60x the 0.076% median among AI chart posts, at 26th percentile.

6posts from @artificialanlys that day

Part of a run of 6 posts on Sep 24, 2026. This one was #6 of 6 by views that day.

0.3xthe median bar chart post

Across 241 bar chart posts we hold, the median gets 25.6K views.

bottom 26%save rate

0.046% of viewers bookmarked it to come back to. The median post gets 0.076%.

0.6x@artificialanlys's median post

6.6K views, where @artificialanlys's typical post gets 11.4K.

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 #966 of 1,162

Views6.6K#886bottom 24%
Likes40#908bottom 22%
Engagement rate0.72%#597bottom 49%
Save rate0.046%#865bottom 26%

Among 491 @artificialanlys posts

Score #344 of 491

Views6.6K#304bottom 38%
Likes40#315bottom 36%
Engagement rate0.72%#289bottom 41%
Save rate0.046%#351bottom 29%

Growth

One read so far

Views6.6K
Age at our read19 days
Views per day of life348views 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 · Sep 24, 2026

@ArtificialAnlys posts Cost per Task bar chart

A 21-model bar chart on cost per task drew 6.6K views and a 0.046% save rate, 0.60x the AI chart median.

What happened

@ArtificialAnlys published a bar chart on Cost per Task for AI Models on September 24, 2026. It was one of 6 posts from the account that day, alongside 5 others including Terminal-Bench-Science 0.1: Score.

The numbers

The post reached 6.6K views, ranking #886 of 1,162 AI chart posts against a 39.9K median. Its score of 27 ranks #966 of 1,162 AI chart posts and #344 of 491 @ArtificialAnlys posts.

The lesson

A 0.046% save rate, 0.60x the 0.076% median among AI chart posts, sits at 26th percentile. The chart shows cost values of 0.18, 0.24 and 13 USD across the models it plots.

What it means

At #344 of 491 @ArtificialAnlys posts, this chart sits below the account's own score rank pattern. Its 6.6K views against the 39.9K median among AI chart posts mark a wide gap for a 21-model comparison.

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

19 points read off this chart

Estimated from the image 48%
SeriesGroupValueRead
GPT-6 Luna (max) (OpenAI)0.18 USDprinted
DeepSeek V4 Pro 0813 (max) (DeepSeek)0.24 USDprinted
Gemini 3.8 (high) (Google)2.47 USDestimated
GPT-6 Sol (max) (OpenAI)2.99 USDestimated
Owen3.8 Max (Alibaba...)3.48 USDestimated
Muse Spark 1.3 (Meta)3.98 USDestimated
Opencode (2.ai)4.24 USDestimated
Devlin Fusion (xhigh) (Cognition)4.54 USDestimated
Kimi Code (xhigh) (Moonshot AI)5.05 USDestimated
Codex (max) (OpenAI)7.47 USDestimated
Devlin Fusion (xhigh) (Cognition)7.9 USDestimated
Grok Build (xhigh) (SpaceXAI)8.82 USDestimated

Showing 12 of 19. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/6b01d1f7a6c3.json
GET https://viral-chart.com/api/charts/6b01d1f7a6c3.json
GET https://viral-chart.com/api/charts/6b01d1f7a6c3.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 6b01d1f7a6c3.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.48 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/6b01d1f7a6c3Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/6b01d1f7a6c3/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/6b01d1f7a6c3/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/6b01d1f7a6c3/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 24, 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.