Models
Google
Massive Image Embedding Benchmark (Lite)

GoogleX · Oct 6, 2026 · official

Massive Image Embedding Benchmark (Lite)

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 13, 2026.

Model size vs mean score comparison

XData Scatter plot Gemma 4 All Google modelsEmbeddingGemma 2LCO-Embedding-Omni-3Bjina-embeddings-v5-omni-smallsiglip-so400m-patch14-384*ebind-full*BidirLM-Omni-2.5B-Embeddingsiglip-base-patch16-512*jina-embeddings-v5-omni-nano

Google: Massive Image Embedding Benchmark (Lite) — Published by Google on X, Oct 6, 2026. Source: x.com

69/ 100

ViralChart score

Reached and resonated

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

#242 of 1,162 AI chart posts we hold · #4 of 22 Google 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 at #242 of 1,162 AI chart posts.

Its 0.49% save rate sits at the 99th percentile among AI chart posts, against a 0.076% median.

The post ranks #242 of 1,162 AI chart posts and #4 of 22 Google posts.

The post carries 3 charts, and every chart in the post shares the post's numbers.

0.04views per follower

67.7K views from an account with 1.6M followers.

top 1%save rate

0.494% of viewers bookmarked it to come back to. The median post gets 0.076%.

3charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

3.0xthe median scatter plot post

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

Public X numbers from our read on Oct 13, 2026. Peers: 1,162 AI chart posts we hold and 22 from Google.

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 #242 of 1,162

Views	67.7K	#463	top 40%
Likes	575	#412	top 35%
Engagement rate	0.98%	#331	top 28%
Save rate	0.494%	#3	top 1%

Among 22 Google posts

Score #4 of 22

Views	67.7K	#12	bottom 48%
Likes	575	#8	top 34%
Engagement rate	0.98%	#4	top 16%
Save rate	0.494%	#1	top 2%

Growth

Our reads cover 3 days

Views67.7K

Age at our read7 days

Views per day of life9.6Kviews divided by days since it was posted

Gained between our reads+6.7Kviews over 3 days, about 2.4K 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.

Google'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 · Oct 6, 2026

Google posts Massive Image Embedding Benchmark (Lite) scatter plot

A 3-chart post on model size against mean score drew 67.7K views and a 0.49% save rate.

What happened

Google published a post on October 6, 2026 with 3 charts, including a scatter plot on the Massive Image Embedding Benchmark (Lite) and a Massive Audio Embedding Benchmark chart. It was the account's only post that day.

The numbers

The post drew 67.7K views, ranking #463 of 1,162 AI chart posts, against a 39.9K median among AI chart posts. Its score of 69 ranks #242 of 1,162 AI chart posts and #4 of 22 Google posts.

The lesson

A 0.49% save rate at the 99th percentile among AI chart posts shows what readers keep: a scatter plot on model size against mean score. The 0.076% median among AI chart posts is the gap this post clears.

What it means

At #4 of 22 Google posts, this chart post sits near the top of the account's own output. Its 0.49% save rate against the 0.076% median among AI chart posts is the account's clearest edge.

Written by ViralChart from public numbers read on Oct 13, 2026. Every number is checked against our data before it is shown.

Data and API

9 points read off this chart

Estimated from the image 63%

Series	Value	Read
EmbeddingGemma 2	65	estimated
siglip-base-patch16-512*	50	estimated
jina-embeddings-v5-omni-small	55	estimated
jina-embeddings-v5-omni-nano	50	estimated
ebind-full*	55	estimated
BidirLM-Omni-2.5B-Embedding	55	estimated
LCO-Embedding-Omni-3B	65	estimated
VLM2Vec-LoRA*	42	estimated
siglip-so400m-patch14-512*	50	estimated

Max plan · API

GET https://viral-chart.com/api/posts/baaeac18019f.json
GET https://viral-chart.com/api/charts/baaeac18019f.json
GET https://viral-chart.com/api/charts/baaeac18019f.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 baaeac18019f.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/baaeac18019f`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/baaeac18019f/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/baaeac18019f/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/baaeac18019f/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.