Models
Anthropic
SWE-Atlas-QnA Benchmark Scores

@ArtificialAnlysX · Jun 12, 2026

SWE-Atlas-QnA Benchmark Scores

@ArtificialAnlys's bar chart drew 23K views on X: 2.0x @artificialanlys's median post and #691 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

SWE-Atlas-QnA benchmark scores for AI coding models

XData Bar chart Claude Code All Anthropic modelsClaude Code (max)Claude Code Opus 4.8Codex (xhigh)Codex GPT-5.5Opencode Opus 4.7Cursor CLI Opus 4.7Cursor CLI GPT-5.5Claude Code GLM-5.1

@ArtificialAnlys: SWE-Atlas-QnA Benchmark Scores — Published by @ArtificialAnlys on X, Jun 12, 2026. Source: x.com

44/ 100

ViralChart score

Quiet

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

#708 of 1,162 AI chart posts we hold · #206 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 #708 of 1,162 AI chart posts.

The post carries 4 charts, and every chart in the post shares the post's numbers.

It ranked #2 of 2 posts from this account that day by views.

Its 23K views are 2x the company median of 11.4K views.

4charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

0.3xthe median bar chart post

Across 108 bar chart posts we hold, the median gets 87.5K views.

2posts from @artificialanlys that day

Part of a run of 2 posts on Jun 12, 2026. This one was #2 of 2 by views that day.

2.0x@artificialanlys's median post

23K 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 #708 of 1,162

Views	23K	#691	bottom 41%
Likes	151	#704	bottom 39%
Engagement rate	0.73%	#584	bottom 50%
Save rate	0.087%	#518	top 45%

Among 491 @artificialanlys posts

Score #206 of 491

Views	23K	#198	top 40%
Likes	151	#205	top 42%
Engagement rate	0.73%	#283	bottom 42%
Save rate	0.087%	#224	top 46%

Growth

One read so far

Views23K

Age at our read123 days

Views per day of life187views 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 · Jun 12, 2026

@ArtificialAnlys posts SWE-Atlas-QnA benchmark scores for AI coding models

A 4-chart post on SWE-Atlas-QnA benchmark scores drew 23K views and a 0.73% engagement rate.

What happened

@ArtificialAnlys posted a bar chart on SWE-Atlas-QnA benchmark scores for AI coding models on June 12, 2026. The post contained 4 charts, and the account made 2 posts that day.

The numbers

The post reached 23K views, ranking #691 of 1,162 AI chart posts by views and #206 of 491 @ArtificialAnlys posts by score. Its engagement rate was 0.73%.

The lesson

With 4 charts in the post, the 23K views are 2x the company median of 11.4K, but the 0.73% engagement rate sits below the AI chart median.

What it means

At #206 of 491 @ArtificialAnlys posts by score, this post trails the account's own chart posts despite its 2x lead over the company median views.

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

19 points read off this chart

Estimated from the image 58%

Group	Value	Read
Claude Code (max)	83	estimated
Opus 4.8 (max)	82	printed
Codex (xhigh)	81	estimated
Codex (medium)	79	estimated
Opencode (medium)	79	printed
Cursor CLI (medium)	78	estimated
Opus 4.7 (medium)	77	estimated
Claude Code (medium)	76	printed
Cursor CLI (medium)	73	estimated
GLM-51 Fast	72.5	printed
Cursor CLI (medium)	72	estimated
Opus 4.7 (medium)	68	estimated

Showing 12 of 19. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/4eacbf09c7f2.json
GET https://viral-chart.com/api/charts/4eacbf09c7f2.json
GET https://viral-chart.com/api/charts/4eacbf09c7f2.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 4eacbf09c7f2.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/4eacbf09c7f2`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/4eacbf09c7f2/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/4eacbf09c7f2/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/4eacbf09c7f2/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.