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xAI
AI Model Performance & Cost Comparison

@ArtificialAnlysX · Apr 30, 2026

AI Model Performance & Cost Comparison

@ArtificialAnlys's benchmark bar chart drew 2.1M views on X: 185x @artificialanlys's median post and #58 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

AI Model Performance and Cost Comparison

XData Benchmark bar chart Grok 4 All xAI models GPT-4o DeepSeek V3Claude 3.5 SonnetGemini 1.5 ProLlama 3.1 405BQwen 2.5 72B

@ArtificialAnlys: AI Model Performance & Cost Comparison — Published by @ArtificialAnlys on X, Apr 30, 2026. Source: x.com

66/ 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.

#318 of 1,162 AI chart posts we hold · #89 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 Wide but thin quadrant, at #318 of 1,162 AI chart posts.

Its 2.1M views are 185x @ArtificialAnlys's median post, ranking #8 of 491 @ArtificialAnlys posts.

Engagement sits at 0.13%, the 3rd percentile among AI chart posts, against a 0.73% median.

It ranked #1 of 8 posts from this account that day, with 8 posts from this account that day.

185x@artificialanlys's median post

2.1M views, where @artificialanlys's typical post gets 11.4K.

48xthe median benchmark bar chart post

Across 215 benchmark bar chart posts we hold, the median gets 44.4K views.

8posts from @artificialanlys that day

Part of a run of 8 posts on Apr 30, 2026. This one was #1 of 8 by views that day.

bottom 3%engagement rate

0.13% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

Public X numbers from our read on Oct 13, 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 #318 of 1,162

Views	2.1M	#58	top 5%
Likes	2.4K	#129	top 11%
Engagement rate	0.13%	#1,129	bottom 3%
Save rate	0.017%	#1,072	bottom 8%

Among 491 @artificialanlys posts

Score #89 of 491

Views	2.1M	#8	top 2%
Likes	2.4K	#15	top 3%
Engagement rate	0.13%	#478	bottom 3%
Save rate	0.017%	#442	bottom 10%

Growth

Our reads cover 27 hours

Views2.1M

Age at our read166 days

Views per day of life12.8Kviews divided by days since it was posted

Gained between our reads+20views over 27 hours, about 18 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 · Apr 30, 2026

@ArtificialAnlys posts AI model performance and cost comparison

A benchmark bar chart from @ArtificialAnlys drew 2.1M views on April 30, 2026, with engagement at 0.13%.

What happened

@ArtificialAnlys published a benchmark bar chart on AI model performance and cost on April 30, 2026. It came with 7 other posts from this account that day, including Artificial Analysis Intelligence Index vs Total Parameters at 56.5K views.

The numbers

The post reached 2.1M views, #58 of 1,162 AI chart posts, against a median of 39.9K views among AI chart posts. Its score rank is #318 of 1,162 AI chart posts.

The lesson

At 0.13% engagement against a 0.73% median among AI chart posts, this benchmark bar chart shows a wide gap between views and interaction. The 0.017% save rate sits alongside that gap.

What it means

At #89 of 491 @ArtificialAnlys posts by score, this post's 2.1M views rank #8 of 491 @ArtificialAnlys posts by views. The 185x gap to the company's 11.4K median views comes with engagement at the 3rd percentile among AI chart posts.

Written by ViralChart from public numbers read on Oct 13, 2026. Every number is checked against our data before it is shown.

Updates: what @artificialanlys posted next

Data and API

40 points read off this chart

Estimated from the image 57%

Group	Value	Read
GPT-5.1 (High)	80	printed
Claude Opus 4.5	57	printed
Gemini 3.1 Pro (High)	57	printed
GPT-5.1 (Medium)	57	printed
Grok 4.1	54	printed
Kimi K2.5	54	printed
MiniMax-M2.1 (High)	54	printed
x1	53	printed
Nano-Spark	52	printed
Claude Opus 4.1	51.5	printed
Gemini 3.1 Pro (Low)	52	printed
GLM-5.1	51	printed

Showing 12 of 40. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/7f9a246c36a5.json
GET https://viral-chart.com/api/charts/7f9a246c36a5.json
GET https://viral-chart.com/api/charts/7f9a246c36a5.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 7f9a246c36a5.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/7f9a246c36a5`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/7f9a246c36a5/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/7f9a246c36a5/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/7f9a246c36a5/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.