Models
Anthropic
Software Engineering Benchmark Comparison

AnthropicX · Aug 5, 2025 · official

Software Engineering Benchmark Comparison

Anthropic's bar chart drew 4.1M views on X: 9.6x its median post and #39 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Software engineering benchmark accuracy comparison

XData Bar chart Claude Opus 4 All Anthropic modelsOpus 4Opus 4.1

Anthropic: Software Engineering Benchmark Comparison — Published by Anthropic on X, Aug 5, 2025. Source: x.com

71/ 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.

#197 of 1,162 AI chart posts we hold · #25 of 56 Anthropic 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 #197 of 1,162 AI chart posts by score.

Its 4.1M views sit at 9.6x Anthropic's median post, ranking #8 of 56 Anthropic posts.

Engagement lands at 0.31%, 0.42x the AI chart median and 10th percentile among AI chart posts.

At 2.31 views per follower, it reaches the 87th percentile, 11x the median across posts with known followers.

162xthe median bar chart post

Across 241 bar chart posts we hold, the median gets 25.6K views.

9.6xAnthropic's median post

4.1M views, where Anthropic's typical post gets 431K.

bottom 10%engagement rate

0.31% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

bottom 13%save rate

0.027% 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 56 from Anthropic.

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 #197 of 1,162

Views	4.1M	#39	top 3%
Likes	10K	#30	top 3%
Engagement rate	0.31%	#1,047	bottom 10%
Save rate	0.027%	#1,007	bottom 13%

Among 56 Anthropic posts

Score #25 of 56

Views	4.1M	#8	top 13%
Likes	10K	#9	top 15%
Engagement rate	0.31%	#50	bottom 12%
Save rate	0.027%	#47	bottom 17%

Growth

Our reads cover 3 days

Views4.1M

Age at our read434 days

Views per day of life9.5Kviews divided by days since it was posted

Gained between our reads+43views over 3 days, about 15 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.

Anthropic'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 5, 2025 · Lead story

Anthropic posts software engineering benchmark bar chart

A single bar chart comparing Opus 4 and Opus 4.1 accuracy drew 4.1M views but a 0.31% engagement rate.

What happened

Anthropic posted one bar chart on August 5, 2025, comparing software engineering benchmark accuracy. It was the account's only post that day.

The numbers

It ranks #39 of 1,162 AI chart posts by views and #197 of 1,162 by score. Among Anthropic posts it ranks #8 of 56 by views.

The lesson

A 2-model bar chart drew 4.1M views but a 0.31% engagement rate, 0.42x the AI chart median. The chart shows 72.5% and 74.5% accuracy, yet the save rate was 0.027%.

What it means

For Anthropic, this post ranks #25 of 56 by score despite #8 of 56 by views. The 0.31% engagement rate against a 0.56% account median marks the gap.

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

Updates: what Anthropic posted next

Data and API

2 points read off this chart

Estimated from the image 97%

Series	Group	Value	Read
	Opus 4 (May 2025)	72.5 %	printed
	Opus 4.1 (Aug 2025)	74.5 %	printed

Max plan · API

GET https://viral-chart.com/api/posts/33d25231c90f.json
GET https://viral-chart.com/api/charts/33d25231c90f.json
GET https://viral-chart.com/api/charts/33d25231c90f.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 33d25231c90f.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/33d25231c90f`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/33d25231c90f/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/33d25231c90f/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/33d25231c90f/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.