Models
Anthropic
Software engineering SWE-bench Verified

AnthropicX · Nov 24, 2025 · official

Software engineering SWE-bench Verified

Anthropic's bar chart drew 2M views on X: 4.6x its median post and #63 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 models Gemini 3 ProOpus 4.5Sonnet 4.5Opus 4.1GPT-5.1-Codex-MaxGPT-5.1

Anthropic: Software engineering SWE-bench Verified — Published by Anthropic on X, Nov 24, 2025. Source: x.com

63/ 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.

#376 of 1,162 AI chart posts we hold · #37 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, with a score rank of #376 of 1,162 AI chart posts.

Its 0.079% engagement rate sits at the 1st percentile among AI chart posts, against a 0.73% median.

The post drew 2M views, 4.6x Anthropic's 431K company median, ranking #13 of 56 Anthropic posts.

Bar charts have a 25.6K median for this type; this post's 2M views are 77x that figure.

77xthe median bar chart post

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

4.6xAnthropic's median post

2M views, where Anthropic's typical post gets 431K.

bottom 1%engagement rate

0.08% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

bottom 6%save rate

0.012% 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 #376 of 1,162

Views	2M	#63	top 5%
Likes	1.3K	#228	top 20%
Engagement rate	0.08%	#1,147	bottom 1%
Save rate	0.012%	#1,089	bottom 6%

Among 56 Anthropic posts

Score #37 of 56

Views	2M	#13	top 22%
Likes	1.3K	#35	bottom 38%
Engagement rate	0.08%	#56	bottom 1%
Save rate	0.012%	#55	bottom 3%

Growth

Our reads cover 26 hours

Views2M

Age at our read323 days

Views per day of life6.1Kviews divided by days since it was posted

Gained between our reads+14views over 26 hours, about 13 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 · Nov 24, 2025

Anthropic posts SWE-bench Verified bar chart with 6 models

The November 24, 2025 bar chart shows accuracy percentages for 6 models, drawing 2M views but a 0.079% engagement rate.

What happened

Anthropic published a bar chart on November 24, 2025, comparing software engineering benchmark accuracy across 6 models. That day the account posted 2 items, including another AI model benchmark comparison with 7.8M views.

The numbers

The post reached 2M views, ranking #63 of 1,162 AI chart posts by views and #13 of 56 Anthropic posts. Its score rank is #376 of 1,162 AI chart posts.

The lesson

A bar chart with 6 models drew 2M views, 77x the 25.6K median for this type, but its 0.079% engagement rate is far below the 0.79% median for this type.

What it means

For Anthropic, this post's 2M views are 4.6x the 431K company median, yet its 0.079% engagement rate is below the 0.56% median for this account.

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

6 points read off this chart

Estimated from the image 97%

Group	Value	Read
Opus 4.5	80.9 %	printed
Sonnet 4.5	77.2 %	printed
Opus 4.1	74.5 %	printed
Gemini 3 Pro	76.2 %	printed
GPT-5.1-Codex-Max	77.9 %	printed
GPT-5.1	76.3 %	printed

Max plan · API

GET https://viral-chart.com/api/posts/2655004f3dee.json
GET https://viral-chart.com/api/charts/2655004f3dee.json
GET https://viral-chart.com/api/charts/2655004f3dee.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 2655004f3dee.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/2655004f3dee`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/2655004f3dee/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/2655004f3dee/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/2655004f3dee/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.