Models
Google
Intelligence vs. Price Index

@ArtificialAnlysX · Jul 10, 2025

Intelligence vs. Price Index

@ArtificialAnlys's scatter plot drew 60.2K views on X: 5.3x @artificialanlys's median post and #489 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Most attractive quadrant highlighted for AI models

XData Scatter plot Gemini 2 All Google models o3 o3-pro GPT-4.1 Grok 4 Llama 4 Maverick Gemini 2.5 Proo4-mini (high)Claude 4 Opus Thinking

@ArtificialAnlys: Intelligence vs. Price Index — Published by @ArtificialAnlys on X, Jul 10, 2025. Source: x.com

54/ 100

ViralChart score

Reached and resonated

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

#557 of 1,162 AI chart posts we hold · #171 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 Reached and resonated quadrant, with a score rank of #557 of 1,162 AI chart posts.

Its 60.2K views sit 5.3x above @ArtificialAnlys's 11.4K median, ranking #123 of 491 @ArtificialAnlys posts.

The post landed #2 of 3 posts from this account that day, with 3 posts published on July 10, 2025.

Its 0.061% save rate sits below the 0.076% median among AI chart posts, at the 39th percentile.

5.3x@artificialanlys's median post

60.2K views, where @artificialanlys's typical post gets 11.4K.

3posts from @artificialanlys that day

Part of a run of 3 posts on Jul 10, 2025. This one was #2 of 3 by views that day.

2.7xthe median scatter plot post

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

bottom 39%save rate

0.061% of viewers bookmarked it to come back to. The median post gets 0.076%.

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 #557 of 1,162

Views	60.2K	#489	top 42%
Likes	411	#495	top 43%
Engagement rate	0.74%	#572	top 49%
Save rate	0.061%	#706	bottom 39%

Among 491 @artificialanlys posts

Score #171 of 491

Views	60.2K	#123	top 25%
Likes	411	#143	top 29%
Engagement rate	0.74%	#277	bottom 44%
Save rate	0.061%	#290	bottom 41%

Growth

One read so far

Views60.2K

Age at our read460 days

Views per day of life131views 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 · Jul 10, 2025

@ArtificialAnlys scatter plot maps Intelligence vs. Price Index

A 13-model scatter plot from @ArtificialAnlys drew 60.2K views on July 10, 2025, with a 0.061% save rate.

What happened

@ArtificialAnlys posted a scatter plot on Intelligence vs. Price Index on July 10, 2025. It was one of 3 posts from the account that day, alongside posts on Artificial Analysis Intelligence Index and Output Tokens per Second.

The numbers

The post reached 60.2K views, ranking #489 of 1,162 AI chart posts and #123 of 491 @ArtificialAnlys posts. Its score rank is #557 of 1,162 AI chart posts.

The lesson

A 13-model scatter plot drew 60.2K views, 5.3x the @ArtificialAnlys median, but its 0.061% save rate sits below the 0.076% median among AI chart posts. Wide reach and below-median saves can appear in the same post.

What it means

At #171 of 491 @ArtificialAnlys posts by score, this chart sits in the middle of the account's output. Its 0.061% save rate against the 0.076% median among AI chart posts shows the gap between views and saves.

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

12 points read off this chart

Estimated from the image 62%

Group	Value	Read
o3	66 index	estimated
o4-mini (high)	72 index	estimated
o3-pro	60 index	estimated
GPT-4.1	52.5 index	estimated
Grok 4	75 index	estimated
Llama 4 Maverick	50 index	estimated
Gemini 2.5 Pro	70 index	estimated
Grok 3 mini Reasoning (high)	65 index	estimated
Qwen3 235B (Reasoning)	63 index	estimated
Claude 4 Opus Thinking	58 index	estimated
Claude 4 Sonnet Thinking	55 index	estimated
GPT-4o (Nov '24)	40 index	estimated

Max plan · API

GET https://viral-chart.com/api/posts/2e122ebd6453.json
GET https://viral-chart.com/api/charts/2e122ebd6453.json
GET https://viral-chart.com/api/charts/2e122ebd6453.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 2e122ebd6453.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/2e122ebd6453`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/2e122ebd6453/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/2e122ebd6453/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/2e122ebd6453/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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