Models
Anthropic
Intelligence Index vs. Cost per Task

@ArtificialAnlysX · Sep 1, 2026

Intelligence Index vs. Cost per Task

@ArtificialAnlys's scatter plot drew 17.4K views on X: 1.5x @artificialanlys's median post and #731 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Intelligence index vs cost per task for AI models

XData Scatter plot Claude Fable 5 All Anthropic modelsGPT-5.6 Sol (low)GPT-5.6 Sol (medium)GPT-5.6 Sol (high)GPT-5.6 Sol (xhigh)GPT-5.6 Sol (max)Claude Opus 5 (low)Claude Opus 5 (medium)Claude Opus 5 (high)

@ArtificialAnlys: Intelligence Index vs. Cost per Task — Published by @ArtificialAnlys on X, Sep 1, 2026. Source: x.com

35/ 100

ViralChart score

Quiet

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

#822 of 1,162 AI chart posts we hold · #252 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, with a score rank of #822 of 1,162 AI chart posts.

Its score of 35 lands at #822 of 1,162 AI chart posts, below the median.

Saves came in at 0.052%, 0.68x the AI chart median of 0.076%.

The account posted 3 times that day, and this post ranked #2 of 3 by views.

3posts from @artificialanlys that day

Part of a run of 3 posts on Sep 1, 2026. This one was #2 of 3 by views that day.

bottom 31%save rate

0.052% of viewers bookmarked it to come back to. The median post gets 0.076%.

1.5x@artificialanlys's median post

17.4K views, where @artificialanlys's typical post gets 11.4K.

bottom 37%engagement rate

0.59% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

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 #822 of 1,162

Views	17.4K	#731	bottom 37%
Likes	93	#771	bottom 34%
Engagement rate	0.59%	#731	bottom 37%
Save rate	0.052%	#807	bottom 31%

Among 491 @artificialanlys posts

Score #252 of 491

Views	17.4K	#219	top 45%
Likes	93	#233	top 47%
Engagement rate	0.59%	#342	bottom 30%
Save rate	0.052%	#328	bottom 33%

Growth

One read so far

Views17.4K

Age at our read41 days

Views per day of life425views 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 1, 2026

@ArtificialAnlys scatter plot on intelligence index vs cost per task

A 15-model scatter plot posted on September 1, 2026 drew 17.4K views and a 0.052% save rate.

What happened

@ArtificialAnlys posted a scatter plot of Intelligence Index vs. Cost per Task on September 1, 2026. It came with 2 other posts from the account that day.

The numbers

It reached 17.4K views, ranking #731 of 1,162 AI chart posts. Its score of 35 ranked #822 of 1,162 AI chart posts and #252 of 491 @ArtificialAnlys posts.

The lesson

The chart shows 15 models as a scatter plot, and its save rate of 0.052% sits at 0.68x the AI chart median. A dense scatter of 15 models drew fewer saves than the 0.076% median.

What it means

At #252 of 491 @ArtificialAnlys posts, this chart sits below the account's own median. The 0.052% save rate against the 0.076% AI chart median marks it as a low-save post.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Updates: what @artificialanlys posted next

Data and API

25 points read off this chart

Estimated from the image 50%

Series	Group	Value	Read
OpenAI	GPT-5.6 Sol (low)	51 index	estimated
OpenAI	GPT-5.6 Sol (medium)	56 index	estimated
OpenAI	GPT-5.6 Sol (high)	58 index	estimated
OpenAI	GPT-5.6 Sol (xhigh)	59 index	estimated
OpenAI	GPT-5.6 Sol (max)	60 index	estimated
Anthropic	Claude Opus 5 (low)	53 index	printed
Anthropic	Claude Opus 5 (medium)	59 index	estimated
Anthropic	Claude Opus 5 (high)	60 index	printed
Anthropic	Claude Opus 5 (xhigh)	61 index	printed
Anthropic	Claude Opus 5 (max)	62 index	estimated
Anthropic	Claude Fable 5.1 (low with fallback)	60 index	estimated
Anthropic	Claude Fable 5.1 (medium with fallback)	61 index	estimated

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

Max plan · API

GET https://viral-chart.com/api/posts/06637dd5822c.json
GET https://viral-chart.com/api/charts/06637dd5822c.json
GET https://viral-chart.com/api/charts/06637dd5822c.skill.md

Make one like this Open the post JSON Chart data JSON Skill file API docs

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 06637dd5822c.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/06637dd5822c`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/06637dd5822c/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/06637dd5822c/render?view=1`	The draw-only view this page uses	Open
POST	`/mcp`	Tool get_chart_data with this id, for Claude, Cursor and other agents	Max

curlMax

curl -s https://viral-chart.com/api/v1/charts/06637dd5822c/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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