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Google@GoogleDeepMind · Oct 6, 2026 · Scatter plot

Text Embedding Benchmark

Google's scatter plot drew 67.7K views on X: 0.9x its median post and #463 of 1,162 AI chart posts we hold by views. Read Oct 10, 2026.

At 740M parameters, it’s competitive across benchmarks, even outperforming some specialist models more than twice its size.

Posted on X by @GoogleDeepMind (Google), Oct 6, 2026. Source: x.com · See its data

Why it spread

The post spread because it came from a big source at launch timing, reaching 61,015 views, 563 likes, 43 reposts, 5 quotes and 330 saves, with likes at 1.3x the account typical 424.

What worked

  • The post leads with a concrete scale claim, 740M parameters, and frames it as competitive across benchmarks while outperforming some specialist models more than twice its size.
  • It gives developers two clear uses, adding multimodal search to apps and pairing with Gemma 4 for private on-device RAG.
  • The scatter chart of model size versus mean score for text embeddings is a simple, medium polished and medium self labelling form that fits the size comparison message.

What to borrow

We could use a scatter of model size versus mean score for our own models, and pair it with a short launch note that names the parameter count and one or two developer uses.

Careful

Do not over-read the chart, since it has no source line, is not branded, and the quote rate sits in the bottom quarter even though the source reach is in the top quarter.

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

Make it yours

Your numbers, the bar chart way.

Starts from the real numbers of "Massive Text Embedding Benchmark (Code)" by Google. 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 d1495b1aab42.

PathReturnsPlan
GET/api/v1/charts/d1495b1aab42Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/d1495b1aab42/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/d1495b1aab42/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/d1495b1aab42/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 Google's "Text Embedding Benchmark" chart travel?

61,015 views, 563 likes, 43 reposts and 330 saves on X, read Oct 10, 2026. A normal post from @GoogleDeepMind gets about 61K views.

What kind of chart is it?

A scatter plot. Model size versus mean score for text embeddings.

Can I use Google's chart?

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