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AI Model Benchmarks Comparison

@ArtificialAnlysX · Jul 21, 2026

AI Model Benchmarks Comparison

@ArtificialAnlys's small multiples drew 8.8K views on X: 0.8x @artificialanlys's median post and #842 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI model performance across multiple real-world benchmarks

XData Small multiples Gemini 3 All Google models GPT-4.1 o3 o4-mini Gemini 2.5 Pro Grok 4 Kimi K2 DeepSeek V3 Qwen3

@ArtificialAnlys: AI Model Benchmarks Comparison — Published by @ArtificialAnlys on X, Jul 21, 2026. Source: x.com

28/ 100

ViralChart score

Quiet

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

#941 of 1,162 AI chart posts we hold · #328 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 #941 of 1,162 AI chart posts.

Its #3 of 7 rank by views that day sits level with the account's launch-day pattern.

The score of 28 lands at #941 of 1,162 AI chart posts.

Engagement of 0.48% is 0.65x the AI chart median of 0.73%.

7posts from @artificialanlys that day

Part of a run of 7 posts on Jul 21, 2026. This one was #3 of 7 by views that day.

0.3xthe median small multiples post

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

bottom 26%engagement rate

0.48% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

0.8x@artificialanlys's median post

8.8K views, where @artificialanlys's typical post gets 11.4K.

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 #941 of 1,162

Views	8.8K	#842	bottom 28%
Likes	38	#921	bottom 21%
Engagement rate	0.48%	#865	bottom 26%
Save rate	0.069%	#636	bottom 45%

Among 491 @artificialanlys posts

Score #328 of 491

Views	8.8K	#274	bottom 44%
Likes	38	#324	bottom 34%
Engagement rate	0.48%	#392	bottom 20%
Save rate	0.069%	#268	bottom 46%

Growth

One read so far

Views8.8K

Age at our read83 days

Views per day of life105views 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 21, 2026

@ArtificialAnlys posts small multiples of AI model benchmarks

A 15-model benchmark comparison posted on July 21, 2026 drew 8.8K views and a 0.48% engagement rate.

What happened

@ArtificialAnlys posted a small multiples chart on AI model performance across multiple real-world benchmarks on July 21, 2026. It came with 6 other posts from the account that day, including Artificial Analysis Intelligence Index v4.1 and AA-Briefcase Elo and Cost Comparison.

The numbers

The post reached 8.8K views, ranking #842 of 1,162 AI chart posts, against a median of 39.9K among AI chart posts. Its score of 28 ranks #941 of 1,162 AI chart posts and #328 of 491 @ArtificialAnlys posts.

The lesson

A 15-model small multiples chart drew 8.8K views and a 0.48% engagement rate, below the 0.73% AI chart median. The chart shows plotted values across benchmarks, and the save rate of 0.069% trails the engagement.

What it means

At #328 of 491 @ArtificialAnlys posts, this chart sits below the account's own median engagement of 0.82%. The 8.8K views against the 39.9K AI chart median show the gap for this publisher's benchmark charts.

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

100 points read off this chart

Estimated from the image 50%

Group	Value	Read
GPT-5 (A)	80.4 %	estimated
Claude Opus 4.5 (A)	79.2 %	estimated
Gemini 3 Pro (A)	78.1 %	estimated
Grok 4 (A)	77.3 %	estimated
GPT-5 (B)	76.5 %	estimated
Claude Opus 4.5 (B)	75.8 %	estimated
Gemini 3 Pro (B)	74.9 %	estimated
Grok 4 (B)	74.2 %	estimated
GPT-5 (C)	73.4 %	estimated
Claude Opus 4.5 (C)	72.6 %	estimated
Gemini 3 Pro (C)	71.8 %	estimated
Grok 4 (C)	71 %	estimated

Showing 12 of 100. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/3a69748429fb.json
GET https://viral-chart.com/api/charts/3a69748429fb.json
GET https://viral-chart.com/api/charts/3a69748429fb.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 3a69748429fb.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/3a69748429fb`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/3a69748429fb/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/3a69748429fb/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/3a69748429fb/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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