Models
Google
AI Model Intelligence vs Time per Task

@ArtificialAnlysX · Aug 13, 2026

AI Model Intelligence vs Time per Task

@ArtificialAnlys's scatter plot drew 108.1K views on X: 9.5x @artificialanlys's median post and #365 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

XData Scatter plot Gemini 3 All Google models GPT-4 Claude 3 Llama 3GeminiMistralDeepSeek

@ArtificialAnlys: AI Model Intelligence vs Time per Task — Published by @ArtificialAnlys on X, Aug 13, 2026. Source: x.com

75/ 100

ViralChart score

Reached and resonated

More views and a higher engagement rate than the median post: it travelled and people acted on it.

#129 of 1,162 AI chart posts we hold · #22 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

Reached and resonated: views and engagement both above median, with a score rank of #129 of 1,162.

108K views is 9.5x the company median of 11.4K, ranking #80 of 491 @ArtificialAnlys posts.

Its score of 75 ranks #129 of 1,162 AI chart posts, above the median for all AI chart posts.

Engagement rate of 1.21% is above the 0.73% median, at the 84th percentile among AI chart posts.

9.5x@artificialanlys's median post

108.1K views, where @artificialanlys's typical post gets 11.4K.

4.8xthe median scatter plot post

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

top 16%engagement rate

1.21% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

4posts from @artificialanlys that day

Part of a run of 4 posts on Aug 13, 2026. This one was #1 of 4 by views that day.

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 #129 of 1,162

Views	108.1K	#365	top 31%
Likes	1.1K	#247	top 21%
Engagement rate	1.21%	#188	top 16%
Save rate	0.123%	#320	top 27%

Among 491 @artificialanlys posts

Score #22 of 491

Views	108.1K	#80	top 16%
Likes	1.1K	#47	top 9%
Engagement rate	1.21%	#98	top 20%
Save rate	0.123%	#154	top 31%

Growth

Our reads cover 6 hours

Views108.1K

Age at our read60 days

Views per day of life1.8Kviews divided by days since it was posted

Gained between our reads+0views over 6 hours, about 0 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 · Aug 13, 2026

@ArtificialAnlys scatter plot on AI model intelligence draws 108K views

A single scatter plot on AI Model Intelligence vs Time per Task outperformed the account's median views by 9.5x.

What happened

On August 13, 2026, @ArtificialAnlys posted one scatter plot on AI Model Intelligence vs Time per Task. It was one of 4 posts that day, alongside 3 others including Intelligence Index vs. Cost per Task.

The numbers

The post drew 108K views, ranking #365 of 1,162 AI chart posts. Its engagement rate of 1.21% placed it #188 of 1,162, with a save rate of 0.12%.

The lesson

A single scatter plot with 6 models shown achieved a 9.5x view lead over the account's median. Clean scatter plots can outperform multi-chart posts when the topic is a direct model comparison.

What it means

This post ranks #22 of 491 @ArtificialAnlys posts, above its own median engagement of 0.82%. For AI chart publishers, a focused scatter plot on model intelligence can beat the median views by 9.5x.

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

35 points read off this chart

Estimated from the image 51%

Group	Value	Read
Claude Opus 4.5	63	printed
Claude Sonnet 4.5	62	printed
Gemini 3.1 Flash (high)	61	estimated
GPT-5.2 (high)	61	estimated
Grok 4.1 (high)	60	printed
Gemini 3.1 Flash (medium)	58	estimated
Nova 1.5 (high)	57	estimated
Mistral Large 3 (high)	57	estimated
GPT-5.2 (medium)	56	estimated
Gemini 3.1 Flash (low)	55.5	printed
Claude Haiku 4.5	53	estimated
GPT-5.1 (high)	53	estimated

Showing 12 of 35. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/0b80d266fedb.json
GET https://viral-chart.com/api/charts/0b80d266fedb.json
GET https://viral-chart.com/api/charts/0b80d266fedb.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 0b80d266fedb.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/0b80d266fedb`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/0b80d266fedb/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/0b80d266fedb/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/0b80d266fedb/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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