Models
Meta
Context Window: Tokens Limit for Llama 4 Scout

@ArtificialAnlysX · Apr 10, 2025

Context Window: Tokens Limit for Llama 4 Scout

@ArtificialAnlys's bar chart drew 3.3K views on X: 0.3x @artificialanlys's median post and #1,023 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Context Window Tokens Limit Llama 4 Scout Providers

XData Bar chart Llama 4 All Meta modelsLambda LabsCerebrasTogether.aiDeepInfraNovitaGroqFireworksKluster.ai

@ArtificialAnlys: Context Window: Tokens Limit for Llama 4 Scout — Published by @ArtificialAnlys on X, Apr 10, 2025. Source: x.com

14/ 100

ViralChart score

Quiet

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

#1,126 of 1,162 AI chart posts we hold · #465 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, at #1,126 of 1,162 AI chart posts.

Its score of 14 lands at #1,126 of 1,162 AI chart posts.

At 3.3K views against a company median of 11.4K, the post runs 0.29x its own account's typical reach.

A 0.031% save rate sits at the 15th percentile among AI chart posts, 0.40x the 0.076% median.

0.0xthe median bar chart post

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

3charts in this one post

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

0.3x@artificialanlys's median post

3.3K views, where @artificialanlys's typical post gets 11.4K.

bottom 15%save rate

0.031% of viewers bookmarked it to come back to. The median post gets 0.076%.

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 #1,126 of 1,162

Views	3.3K	#1,023	bottom 12%
Likes	14	#1,073	bottom 8%
Engagement rate	0.55%	#774	bottom 33%
Save rate	0.031%	#988	bottom 15%

Among 491 @artificialanlys posts

Score #465 of 491

Views	3.3K	#394	bottom 20%
Likes	14	#422	bottom 14%
Engagement rate	0.55%	#362	bottom 26%
Save rate	0.031%	#405	bottom 18%

Growth

One read so far

Views3.3K

Age at our read550 days

Views per day of life6views 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 · Apr 10, 2025

@ArtificialAnlys charts Llama 4 Scout context window limits

A bar chart of context window tokens for Llama 4 Scout providers drew 3.3K views and a 0.55% engagement rate.

What happened

@ArtificialAnlys posted a bar chart on April 10, 2025, on context window token limits for Llama 4 Scout providers. It came with 3 charts in the post and 2 other posts from the account that day.

The numbers

The post reached 3.3K views, ranking #1,023 of 1,162 AI chart posts and #394 of 491 @ArtificialAnlys posts. Its score of 14 ranks #1,126 of 1,162 AI chart posts and #465 of 491 @ArtificialAnlys posts.

The lesson

The chart shows 1000000 tokens for Lambda Labs and CentML against 131000 for Deepinfra, Novita and Groq, and the post drew a 0.031% save rate, 0.40x the AI median. A 9-model bar chart at 0.29x the company's median views is a chart readers did not keep.

What it means

At #465 of 491 @ArtificialAnlys posts, this chart sits near the bottom of the account's own output. The 0.29x gap to the company's 11.4K median views and the 0.40x gap to the AI median save rate mark it as a low-travel chart.

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

10 points read off this chart

Estimated from the image 97%

Group	Value	Read
Lambda Labs	1000000 tokens	printed
CentML	1000000 tokens	printed
Together.ai	328000 tokens	printed
Deepinfra	131000 tokens	printed
Novita	131000 tokens	printed
Groq	131000 tokens	printed
Fireworks	128000 tokens	printed
Klusterai	128000 tokens	printed
Cerebras	32000 tokens	printed
Sambanova	8190 tokens	printed

Max plan · API

GET https://viral-chart.com/api/posts/fb9691241012.json
GET https://viral-chart.com/api/charts/fb9691241012.json
GET https://viral-chart.com/api/charts/fb9691241012.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 fb9691241012.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/fb9691241012`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/fb9691241012/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/fb9691241012/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/fb9691241012/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.