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Output Tokens Used to Run Artificial Analysis Intelligence

@ArtificialAnlysX · Apr 8, 2026

Output Tokens Used to Run Artificial Analysis Intelligence

@ArtificialAnlys's annotated chart drew 50K views on X: 4.4x @artificialanlys's median post and #536 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Output tokens vs intelligence index comparison

XData Annotated chart Gemini 3 All Google modelsGPT-5.4 (high)Claude Sonnet 4.5Gemini 3.1 Pro PreviewGPT-5.4 (xhigh)Nova 2.0 Pro Preview (medium)GPT-oss-20B (high)

@ArtificialAnlys: Output Tokens Used to Run Artificial Analysis Intelligence — Published by @ArtificialAnlys on X, Apr 8, 2026. Source: x.com

45/ 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.

#689 of 1,162 AI chart posts we hold · #198 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 Wide but thin quadrant, at #689 of 1,162 AI chart posts by score.

Its 50K views sit 4.4x above the 11.4K median for @ArtificialAnlys posts, at #143 of 491 @ArtificialAnlys posts.

The post landed at #2 of 8 posts from this account that day, a level showing against its own same-day output.

Engagement came in at 0.51%, 0.70x the 0.73% median among AI chart posts, at the 29th percentile.

8posts from @artificialanlys that day

Part of a run of 8 posts on Apr 8, 2026. This one was #2 of 8 by views that day.

4.4x@artificialanlys's median post

50K views, where @artificialanlys's typical post gets 11.4K.

bottom 29%engagement rate

0.51% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

2.2xthe median annotated chart post

Across 62 annotated chart posts we hold, the median gets 22.8K 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 #689 of 1,162

Views	50K	#536	top 46%
Likes	224	#626	bottom 46%
Engagement rate	0.51%	#825	bottom 29%
Save rate	0.060%	#721	bottom 38%

Among 491 @artificialanlys posts

Score #198 of 491

Views	50K	#143	top 29%
Likes	224	#183	top 37%
Engagement rate	0.51%	#378	bottom 23%
Save rate	0.060%	#293	bottom 40%

Growth

One read so far

Views50K

Age at our read187 days

Views per day of life267views 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 8, 2026

@ArtificialAnlys charts output tokens against intelligence on April 8, 2026

An annotated chart on output tokens used to run Artificial Analysis Intelligence drew 50K views but 0.51% engagement, below the 0.73% median among AI chart posts.

What happened

@ArtificialAnlys posted an annotated chart on April 8, 2026, on output tokens used to run Artificial Analysis Intelligence. It was one of 8 posts from the account that day, alongside 7 others including Artificial Analysis Intelligence Index v4.0 posts at 513K, 31.6K and 31.4K views.

The numbers

The post reached 50K views, #536 of 1,162 AI chart posts by views and #143 of 491 @ArtificialAnlys posts. Its score of 45 ranked #689 of 1,162 AI chart posts and #198 of 491 @ArtificialAnlys posts.

The lesson

The chart shows output tokens on the y-axis, with printed values including Reasoning Tokens (NVIDIA Nemotron 3 Super): 140. At 0.51% engagement against a 0.73% median among AI chart posts, the 50K views came with a 0.060% save rate.

What it means

At #198 of 491 @ArtificialAnlys posts by score, this post trails the account's own chart output despite 50K views. The 0.51% engagement rate against the 0.82% median for this account marks a gap on the engagement side.

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

65 points read off this chart

Estimated from the image 40%

Series	Group	Value	Read
Reasoning Tokens	GPT-5.1 (high)	240 M	estimated
Reasoning Tokens	Claude Sonnet 4.5	200 M	estimated
	Gemini 3.1 Pro Preview	190 M	estimated
Reasoning Tokens	Claude Opus 4.5 (max)	150 M	estimated
Reasoning Tokens	NVIDIA Nemotron 3 Super	140 M	printed
Reasoning Tokens	GPT-5.1 (high)	120 M	estimated
Reasoning Tokens	NVIDIA Nemotron 3 Nano	120 M	estimated
Reasoning Tokens	Kimi K2.5	120 M	estimated
Reasoning Tokens	Claude Opus 4.5 (high)	110 M	estimated
Reasoning Tokens	MiniMax-M2.7	100 M	estimated
	Qwen3.5 30B A17B	89 M	estimated
	GPT-5.1 (medium)	82 M	estimated

Showing 12 of 65. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/99c0d21eeb58.json
GET https://viral-chart.com/api/charts/99c0d21eeb58.json
GET https://viral-chart.com/api/charts/99c0d21eeb58.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 99c0d21eeb58.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.40 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/99c0d21eeb58`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/99c0d21eeb58/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/99c0d21eeb58/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/99c0d21eeb58/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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