Models
Anthropic
DeepSWE@1 Benchmark Score

@ArtificialAnlysX · Jun 12, 2026

DeepSWE@1 Benchmark Score

@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.

XData Bar chart Claude Code All Anthropic modelsClaude Code Fable 5 (max)Codex GPT-5.5 (xhigh)Codex GPT-5.5 (medium)Claude Code Opus 4.8 (max)Claude Code Opus 4.8 (medium)Claude Code Opus 4.7 (medium)Cursor CLI Opus 4.7 (medium)Claude Code GLM-5.1

@ArtificialAnlys: DeepSWE@1 Benchmark Score — 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 landed at #2 of 2 by views among this account's posts that day.

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

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 DeepSWE@1 Benchmark Score bar chart

The June 12, 2026 post shows DeepSWE@1 scores across 11 models in 4 charts, drawing 23K views and a 0.73% engagement rate.

What happened

@ArtificialAnlys published a bar chart on DeepSWE@1 Benchmark Score on June 12, 2026. The post carried 4 charts, including Score by Benchmark on component benchmarks, Terminal pass@1 on Terminal-Bench v2, and SWE-Atlas-QnA Benchmark Scores.

The numbers

It reached 23K views, ranking #691 of 1,162 AI chart posts by views and #206 of 491 @ArtificialAnlys posts by score. The median views among AI chart posts is 39.9K.

The lesson

With 4 charts in one post, each chart shares the post's 23K views and 0.087% save rate. A single chart in a post carries the same numbers alone.

What it means

At #206 of 491 @ArtificialAnlys posts by score, this post sits below the account's own chart posts. Its 23K views are 2x the company median of 11.4K, yet the 0.73% engagement rate stays below the AI chart median.

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

15 points read off this chart

Estimated from the image 56%

Group	Value	Read
Claude Code (max)	66 score	printed
GPT-5.5 (xhigh)	64 score	printed
GPT-5.5 (medium)	57 score	printed
Opus 4.8 (max)	56 score	printed
Opus 4.8 (medium)	49 score	estimated
Opus 4.7 (medium)	40 score	estimated
GPT-5.5 (medium)	37 score	estimated
Opus 4.7 (medium)	32 score	estimated
Opus 4.7 (medium)	27 score	estimated
GLM-5.1	19 score	estimated
Kimi K2.6	17 score	estimated
Composer 2.5 Fast	16 score	estimated

Showing 12 of 15. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/9dbac12f2784.json
GET https://viral-chart.com/api/charts/9dbac12f2784.json
GET https://viral-chart.com/api/charts/9dbac12f2784.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 9dbac12f2784.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/9dbac12f2784`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/9dbac12f2784/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/9dbac12f2784/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/9dbac12f2784/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.