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  3. LLM scaling performance
Kimi (Moonshot AI)@Kimi_Moonshot · Apr 9, 2025 · Scatter plot

LLM scaling performance

Kimi (Moonshot AI)'s scatter plot drew 120.6K views on X: 0.5x its median post and #348 of 1,162 AI chart posts we hold by views. Read Oct 10, 2026.

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Posted on X by @Kimi_Moonshot (Kimi (Moonshot AI)), Apr 9, 2025. Source: x.com · See its data

Why it spread

The post spread because it paired a clear scatter of model performance rising with activated parameters across families with a launch announcement from an independent author, drawing 1,005 likes, 203 reposts, 41 quotes, 465 saves and 120,609 views, with a quote rate in the top quarter and source reach in the top quarter.

What worked

  • The scatter form made a simple relationship visible: model performance increases with activated parameters across families.
  • The post text led with a concrete capability claim, strong multimodal reasoning on par with larger models, giving viewers a reason to save and share.
  • Coming from an independent author rather than a single vendor lab added credibility, which helped the quote rate land in the top quarter.

What to borrow

We could use the same scatter framing to show how our own models improve as activated parameters grow across families, and pair it with one plain capability claim in the post text.

Careful

Do not over-read the scatter as proof of causation, and do not copy the launch hype without our own measured results; the facts give no comment count or account baseline, so relative lift beyond the top quarter quote rate and source reach is unknown.

Written by our analysis model from the measured numbers above, not by Kimi (Moonshot AI).

Make it yours

Your numbers, the bar chart way.

Starts from the real numbers of "MathVision Pass@1 vs Activated Parameters" by Kimi (Moonshot AI). Replace every number with yours before you post. Make one like this, step by step

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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 10c3491f42a9.

PathReturnsPlan
GET/api/v1/charts/10c3491f42a9Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/10c3491f42a9/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/10c3491f42a9/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/10c3491f42a9/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 Kimi (Moonshot AI)'s "LLM scaling performance" chart travel?

120,609 views, 1,005 likes, 203 reposts and 465 saves on X, read Oct 10, 2026. A normal post from @Kimi_Moonshot gets about 150.8K views.

What kind of chart is it?

A scatter plot. Model performance increases with activated parameters across families.

Can I use Kimi (Moonshot AI)'s chart?

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