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AI Model Performance vs Cost

@ArtificialAnlysX · Aug 15, 2026

AI Model Performance vs Cost

@ArtificialAnlys's scatter plot drew 114.7K views on X: 10x @artificialanlys's median post and #353 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI Model Performance vs Cost Scatter

XData Scatter plot DeepSeek V4 All DeepSeek models GPT-4ClaudeGeminiLlamaMistralDeepSeek

@ArtificialAnlys: AI Model Performance vs Cost — Published by @ArtificialAnlys on X, Aug 15, 2026. Source: x.com

73/ 100

ViralChart score

Reached and resonated

More views and a higher engagement rate than the median post: it travelled and people acted on it.

#163 of 1,162 AI chart posts we hold · #33 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 Reached and resonated quadrant, with a score rank of #163 of 1,162 AI chart posts.

Its 115K views sit 10x above @ArtificialAnlys's median post of 11.4K, ranking #73 of 491 @ArtificialAnlys posts by views.

A score of 73 places it #163 of 1,162 AI chart posts and #33 of 491 @ArtificialAnlys posts.

It ranked #1 of 5 posts from this account that day, ahead of 4 other posts.

10x@artificialanlys's median post

114.7K views, where @artificialanlys's typical post gets 11.4K.

5.1xthe median scatter plot post

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

5posts from @artificialanlys that day

Part of a run of 5 posts on Aug 15, 2026. This one was #1 of 5 by views that day.

top 23%engagement rate

1.08% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

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 #163 of 1,162

Views	114.7K	#353	top 30%
Likes	1.1K	#258	top 22%
Engagement rate	1.08%	#272	top 23%
Save rate	0.108%	#383	top 33%

Among 491 @artificialanlys posts

Score #33 of 491

Views	114.7K	#73	top 15%
Likes	1.1K	#51	top 10%
Engagement rate	1.08%	#146	top 30%
Save rate	0.108%	#178	top 36%

Growth

Our reads cover 6 hours

Views114.7K

Age at our read59 days

Views per day of life1.9Kviews divided by days since it was posted

Gained between our reads+2views over 6 hours, about 8 a day now

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 · Aug 15, 2026

@ArtificialAnlys posts AI Model Performance vs Cost scatter

A scatter plot on AI model performance against cost drew 115K views and a 1.08% engagement rate, above the AI chart median.

What happened

@ArtificialAnlys published a scatter plot on AI Model Performance vs Cost on August 15, 2026. It came with 4 other posts from the account that day, including Cost per Intelligence Index Task by Model and GDPval AI Model Evaluations.

The numbers

The post reached 115K views, ranking #353 of 1,162 AI chart posts by views and #73 of 491 @ArtificialAnlys posts. Its score of 73 ranks #163 of 1,162 AI chart posts and #33 of 491 @ArtificialAnlys posts.

The lesson

At 115K views against a 39.9K median among AI chart posts, this scatter plot cleared the median by a wide margin. The chart shows printed values from 63 down to 58 across the plotted models.

What it means

At #33 of 491 @ArtificialAnlys posts by score, this chart sits in the account's top tier, and its 115K views are 10x the account's 11.4K median. The 1.08% engagement rate and 0.11% save rate show the reach held up against 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

34 points read off this chart

Estimated from the image 69%

Group	Value	Read
Claude Opus 4.5	63	printed
Claude Sonnet 4.5	62	printed
GPT-5.1 (high)	61	printed
Grok 4 (high)	61	printed
Kimi K2 Thinking	60	printed
Gemini 3.1 Pro (high)	58	printed
NovaPro (high)	57	printed
Mistral Large 3 (high)	57	printed
Gemini 3.1 Flash (high)	56	estimated
GPT-5.1 (medium)	53	estimated
GLM-4.6 (high)	53	printed
Grok 4.1 (high)	52	printed

Showing 12 of 34. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/7757c5e32d65.json
GET https://viral-chart.com/api/charts/7757c5e32d65.json
GET https://viral-chart.com/api/charts/7757c5e32d65.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 7757c5e32d65.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/7757c5e32d65`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/7757c5e32d65/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/7757c5e32d65/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/7757c5e32d65/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.