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Meta@AIatMeta · Aug 20, 2026 · Scatter plot

AI model cost-performance

Meta's scatter plot drew 154.8K views on X: 6.0x its typical post and #4 of 11 Meta charts we track by views. Read Oct 10, 2026.

Today we’re also previewing WildArtifactBench, an internal evaluation framework designed to assess agents on complex, real-world tasks across diverse deliverable formats.

Posted on X by @AIatMeta (Meta), Aug 20, 2026. Source: x.com · See its data

Why it spread

This post spread because it landed on a hot topic that week and rode launch timing, reaching 154,790 views and 637 likes, which is 4.8x the account's normal 133 likes.

What worked

  • The post tied the chart to a launch moment, previewing an internal evaluation framework, which gave people a reason to share it right away.
  • The chart showed model performance versus cost across evaluations as a scatter, a familiar comparison that is easy to read and discuss.
  • The framing used win rates and Elo scores from human and agentic preference judges instead of strict ground-truth rubrics, which invited debate about evaluation methods.

What to borrow

We could pair our own chart with a launch or preview moment and frame it around a comparison people already argue about, such as performance against cost, using our own data.

Careful

Do not over-read the engagement as proof the chart design drove the spread, since the main reasons were a hot topic that week and launch timing, and the source reach and quote rate were both below average.

Written by our analysis model from the measured numbers above, not by Meta.

Make it yours

Your numbers, the bar chart way.

Starts from the real numbers of "Wild Artifact Bench" by Meta. Replace every number with yours before you post. Make one like this, step by step

Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.

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 f8d3ea0e023c.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.44 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/f8d3ea0e023cTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/f8d3ea0e023c/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/f8d3ea0e023c/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/f8d3ea0e023c/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

How far did Meta's "AI model cost-performance" chart travel?

154,790 views, 637 likes, 62 reposts and 167 saves on X, read Oct 10, 2026. A normal post from @AIatMeta gets about 25.7K views.

What kind of chart is it?

A scatter plot. Model performance versus cost across evaluations.

Can I use Meta's chart?

Use the format, not the picture. The chart, logo and design belong to Meta. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.