Models
Anthropic
AI Benchmark Evaluations

@ArtificialAnlysX · Oct 7, 2026

AI Benchmark Evaluations

@ArtificialAnlys's small multiples drew 9.3K views on X: 0.8x @artificialanlys's median post and #834 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Multiple AI models compared across ten benchmark evaluations

XData Small multiples Claude Haiku 5 All Anthropic models GPT-5 Gemini 3 Pro Grok 4 Kimi K2 Qwen3 Max MiniMax M2 Llama 4 MaverickClaude Opus 4.5

@ArtificialAnlys: AI Benchmark Evaluations — Published by @ArtificialAnlys on X, Oct 7, 2026. Source: x.com

27/ 100

ViralChart score

Quiet

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

#963 of 1,162 AI chart posts we hold · #342 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, at #963 of 1,162 AI chart posts by score.

Its score of 27 sits at #963 of 1,162 AI chart posts, below the field.

Engagement rate of 0.50% is 0.69x the AI chart median of 0.73%.

It was #2 of 3 posts from this account that day, a level launch-day position.

3posts from @artificialanlys that day

Part of a run of 3 posts on Oct 7, 2026. This one was #2 of 3 by views that day.

0.3xthe median small multiples post

Across 43 small multiples posts we hold, the median gets 27K views.

bottom 28%engagement rate

0.50% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

bottom 33%save rate

0.054% of viewers bookmarked it to come back to. The median post gets 0.076%.

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 #963 of 1,162

Views	9.3K	#834	bottom 28%
Likes	39	#912	bottom 21%
Engagement rate	0.50%	#832	bottom 28%
Save rate	0.054%	#778	bottom 33%

Among 491 @artificialanlys posts

Score #342 of 491

Views	9.3K	#269	bottom 45%
Likes	39	#318	bottom 35%
Engagement rate	0.50%	#381	bottom 23%
Save rate	0.054%	#318	bottom 35%

Growth

Our reads cover 25 hours

Views9.3K

Age at our read6 days

Views per day of life1.6Kviews divided by days since it was posted

Gained between our reads+49views over 25 hours, about 47 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 · Oct 7, 2026

@ArtificialAnlys posts small multiples of 15 AI models

A single small-multiples chart comparing 15 AI models across ten benchmark evaluations drew 9.3K views and a 0.50% engagement rate.

What happened

@ArtificialAnlys posted a small-multiples chart on October 7, 2026, comparing 15 AI models across ten benchmark evaluations. It was one of 3 posts from this account that day, alongside Output Tokens per Intelligence Index Task and AA-Briefcase v1.1 Elo Leaderboard.

The numbers

The post reached 9.3K views, ranking #834 of 1,162 AI chart posts, against a median of 39.9K views among AI chart posts. Its score of 27 ranks #963 of 1,162 AI chart posts and #342 of 491 @ArtificialAnlys posts.

The lesson

A single small-multiples chart with 15 models drew a 0.50% engagement rate, 0.69x the AI chart median of 0.73%. The save rate of 0.054% shows readers kept this one at a lower rate than they engaged with it.

What it means

At #342 of 491 @ArtificialAnlys posts by score, this chart sits below the account's own body of work. The 9.3K views against a 39.9K median among AI chart posts marks a wide gap for this publisher.

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

53 points read off this chart

Estimated from the image 50%

Group	Value	Read
GPT-5	87 %	estimated
Claude Opus 4.5	87 %	estimated
Gemini 3 Pro	86 %	estimated
Grok 4.1	86 %	estimated
Gemini 2.5 Pro	85 %	estimated
Grok 4	85 %	estimated
Kimi K2 Thinking	84 %	estimated
GPT-5.1 (Thinking)	84 %	estimated
Claude Sonnet 4.5	83 %	estimated
GPT-5.1	83 %	estimated
Gemini 3 Flash	82 %	estimated
GPT-5 (Thinking)	82 %	estimated

Showing 12 of 53. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/d93e34460cc6.json
GET https://viral-chart.com/api/charts/d93e34460cc6.json
GET https://viral-chart.com/api/charts/d93e34460cc6.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 d93e34460cc6.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/d93e34460cc6`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/d93e34460cc6/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/d93e34460cc6/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/d93e34460cc6/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?

@ArtificialAnlys published it on Oct 7, 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.