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@ArtificialAnlysX · Sep 24, 2026

Terminal-Bench-Science 0.1: Score vs. Cost per Task

@ArtificialAnlys's scatter plot drew 10.4K views on X: 0.9x @artificialanlys's median post and #810 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Most attractive quadrant: high score, low cost

XDataScatter plotClaude Opus 5All Anthropic modelsMiMo-V2.6-ProGPT-5.6 Luna (max)Gemini 3.5 Flash-LiteDeepSeek V4.1 Flash (max)GLM-5.3-FlashInklingMiniMax-M3Gemini 3.8 Flash (high)
Published by @ArtificialAnlys on X, Sep 24, 2026. Source: x.com
24/ 100

ViralChart score

Quiet

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

#1,010 of 1,162 AI chart posts we hold · #379 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 and ranks #1,010 of 1,162 AI chart posts by score.

Its score of 24 sits at #1,010 of 1,162 AI chart posts.

It was #4 of 6 by views among @ArtificialAnlys posts that day.

Its save rate of 0.038% is 0.50x the AI chart median of 0.076%.

6posts from @artificialanlys that day

Part of a run of 6 posts on Sep 24, 2026. This one was #4 of 6 by views that day.

bottom 20%save rate

0.038% of viewers bookmarked it to come back to. The median post gets 0.076%.

bottom 21%engagement rate

0.43% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

0.5xthe median scatter plot post

Across 187 scatter plot posts we hold, the median gets 22.4K views.

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 #1,010 of 1,162

Views10.4K#810bottom 30%
Likes36#931bottom 20%
Engagement rate0.43%#915bottom 21%
Save rate0.038%#932bottom 20%

Among 491 @artificialanlys posts

Score #379 of 491

Views10.4K#255bottom 48%
Likes36#330bottom 33%
Engagement rate0.43%#412bottom 16%
Save rate0.038%#379bottom 23%

Growth

One read so far

Views10.4K
Age at our read18 days
Views per day of life583views 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 · Sep 24, 2026

@ArtificialAnlys scatter plot on Terminal-Bench-Science 0.1 score versus cost

A 22-model scatter plot on score against cost per task drew 10.4K views and a 0.038% save rate, 0.50x the AI chart median.

What happened

@ArtificialAnlys posted a scatter plot on Terminal-Bench-Science 0.1: Score vs. Cost per Task on September 24, 2026. It was one of 6 posts from the account that day, with 5 other posts.

The numbers

The post reached 10.4K views, ranking #810 of 1,162 AI chart posts, against a median of 39.9K among AI chart posts. Its score of 24 ranks #1,010 of 1,162 AI chart posts and #379 of 491 @ArtificialAnlys posts.

The lesson

A scatter plot with 22 models shown drew a 0.038% save rate, 0.50x the AI chart median of 0.076%. That save rate ranks #932 of 1,162 AI chart posts.

What it means

At #379 of 491 @ArtificialAnlys posts by score, this chart post sits below the account's own median. Its 10.4K views against the 39.9K AI chart median leave a wide gap.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Data and API

134 points read off this chart

Estimated from the image 47%
SeriesGroupValueRead
XiaomiMiMo-V2.6-Pro2 %estimated
OpenAIGPT-6 Luna (max)2 %estimated
OpenAIGPT-5.6 Luna (max)2 %estimated
GoogleGemini 3.5 Flash-Lite2 %estimated
DeepSeekDeepSeek V4.1 Flash (max)12 %estimated
Z AIGLM-5.3-Flash2 %estimated
Thinking MachinesInkling2 %estimated
AnthropicClaude Opus 5.5 (low with fallback)25 %estimated
MiniMaxMiniMax-M32 %estimated
GoogleGemini 3.8 Flash (high)2 %estimated
StepFunStep 5 Preview2 %estimated
AnthropicClaude Opus 5.5 (medium with fallback)50 %estimated

Showing 12 of 134. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/5e68095c08c6.json
GET https://viral-chart.com/api/charts/5e68095c08c6.json
GET https://viral-chart.com/api/charts/5e68095c08c6.skill.md

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 5e68095c08c6.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.47 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/5e68095c08c6Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/5e68095c08c6/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/5e68095c08c6/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/5e68095c08c6/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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Questions people ask

Where does this chart come from?

@ArtificialAnlys published it on Sep 24, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

Can I make a chart like this?

Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.