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  3. Real-world knowledge GDPval-AA tasks by effort level
AnthropicX · Sep 22, 2026 · official

Real-world knowledge GDPval-AA tasks by effort level

Anthropic's scatter plot drew 1.5M views on X: 3.5x its median post and #76 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Model performance vs cost on knowledge tasks

Published by Anthropic on X, Sep 22, 2026. Source: x.com
68/ 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.

#259 of 1,162 AI chart posts we hold · #29 of 56 Anthropic 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 Wide but thin, with a score rank of #259 of 1,162 AI chart posts.

Its 0.26% engagement rate sits at the 7th percentile among AI chart posts, 0.35x the 0.73% median.

At 1.5M views it runs 3.5x Anthropic's 431K median, ranking #15 of 56 Anthropic posts by views.

The post carries 4 charts, and every chart in the post shares the post's numbers.

67xthe median scatter plot post

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

4charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

bottom 7%engagement rate

0.26% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

3.5xAnthropic's median post

1.5M views, where Anthropic's typical post gets 431K.

Public X numbers from our read on Oct 13, 2026. Peers: 1,162 AI chart posts we hold and 56 from Anthropic.

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 #259 of 1,162

Views1.5M#76top 6%
Likes3.6K#84top 7%
Engagement rate0.26%#1,078bottom 7%
Save rate0.027%#1,005bottom 14%

Among 56 Anthropic posts

Score #29 of 56

Views1.5M#15top 26%
Likes3.6K#20top 35%
Engagement rate0.26%#53bottom 6%
Save rate0.027%#45bottom 21%

Growth

Our reads cover 27 hours

Views1.5M
Age at our read21 days
Views per day of life71.8Kviews divided by days since it was posted
Gained between our reads+926views over 27 hours, about 820 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.

Anthropic'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 22, 2026

Anthropic posts knowledge task scatter with 1.5M views

A 4-chart Anthropic post on knowledge task performance drew 1.5M views but a 0.26% engagement rate, 0.35x the AI chart median.

What happened

Anthropic posted a scatter plot on September 22, 2026, covering real-world knowledge GDPval-AA tasks by effort level. It came with 4 charts, and the account made 2 posts that day, including one on Claude Opus 5.5 Benchmark Comparison at 1.6M views.

The numbers

The post reached 1.5M views, #76 of 1,162 AI chart posts by views and #15 of 56 Anthropic posts. Its score of 68 ranks #259 of 1,162 AI chart posts.

The lesson

A 4-chart post shares one set of numbers across every chart, and here that set is a 0.26% engagement rate at the 7th percentile. The 1.5M views show the reach; the 0.35x ratio to the 0.73% AI median shows what the saves and replies did against it.

What it means

For Anthropic, 1.5M views is 3.5x its own 431K median, yet the 0.26% engagement rate sits below its 0.56% account median. The gap between #15 of 56 Anthropic posts by views and #29 of 56 by score is the measured distance between reach and engagement.

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

25 points read off this chart

Estimated from the image 46%
SeriesGroupValueRead
Opus 5.5low1240estimated
Opus 5.5med1580estimated
Opus 5.5high1695estimated
Opus 5.5xhigh1830printed
Opus 5.5max1860printed
Opus 5low1290estimated
Opus 5med1475estimated
Opus 5high1600estimated
Opus 5xhigh1680estimated
Opus 5max1720estimated
Fable 5.1low1455estimated
Fable 5.1med1545estimated

Showing 12 of 25. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/b32e6c7cd7c3.json
GET https://viral-chart.com/api/charts/b32e6c7cd7c3.json
GET https://viral-chart.com/api/charts/b32e6c7cd7c3.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 b32e6c7cd7c3.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.46 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/b32e6c7cd7c3Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/b32e6c7cd7c3/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/b32e6c7cd7c3/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/b32e6c7cd7c3/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?

Anthropic published it on Sep 22, 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.