1. Models
  2. OpenAI
  3. AI Model Benchmark Comparison
OpenAIX · Sep 3, 2026 · official

AI Model Benchmark Comparison

OpenAI's table chart drew 5.4M views on X: 33x its median post and #30 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

AI model performance across multiple benchmarks

Published by OpenAI on X, Sep 3, 2026. Source: x.com
71/ 100

ViralChart score

Wide but thin

More views than the median post but a lower engagement rate: many saw it, few acted. Common for big accounts.

#196 of 1,162 AI chart posts we hold · #11 of 74 OpenAI 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

It sits in the Wide but thin quadrant, at #196 of 1,162 AI chart posts by score.

Its 5.4M views sit 33x above OpenAI's 162K median post, the #4 of 74 OpenAI posts by views.

Engagement lands at 0.24%, the 6th percentile among AI chart posts and below the 0.73% median.

A score of 71 places it #196 of 1,162 AI chart posts and #11 of 74 OpenAI posts.

33xOpenAI's median post

5.4M views, where OpenAI's typical post gets 161.5K.

40xthe median table chart post

Across 95 table chart posts we hold, the median gets 133.2K views.

bottom 6%engagement rate

0.24% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

bottom 14%save rate

0.028% of viewers bookmarked it to come back to. The median post gets 0.076%.

Public X numbers from our read on Oct 13, 2026. Peers: 1,162 AI chart posts we hold and 74 from OpenAI.

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 #196 of 1,162

Views5.4M#30top 3%
Likes10.3K#29top 2%
Engagement rate0.24%#1,095bottom 6%
Save rate0.028%#1,000bottom 14%

Among 74 OpenAI posts

Score #11 of 74

Views5.4M#4top 5%
Likes10.3K#3top 3%
Engagement rate0.24%#68bottom 9%
Save rate0.028%#60bottom 20%

Growth

Our reads cover 27 hours

Views5.4M
Age at our read40 days
Views per day of life134.1Kviews divided by days since it was posted
Gained between our reads+1.3Kviews over 27 hours, about 1.2K 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.

OpenAI'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 · Sep 3, 2026 · Lead story

OpenAI posts AI model benchmark comparison table chart

The September 3, 2026 table chart drew 5.4M views, 33x OpenAI's 162K median, while engagement ran at 0.24%.

What happened

OpenAI posted a table chart on September 3, 2026 comparing AI model performance across multiple benchmarks. The account posted 2 posts that day, including Terminal-Bench 4.0: Accuracy vs API Cost at 46.5K views.

The numbers

It reached 5.4M views, #30 of 1,162 AI chart posts by views and #4 of 74 OpenAI posts. Its score of 71 ranks #196 of 1,162 AI chart posts.

The lesson

A table chart with 3 models shown drew 5.4M views, 33x OpenAI's 162K median, but engagement of 0.24% sits at the 6th percentile among AI chart posts.

What it means

For OpenAI, the #4 of 74 OpenAI posts by views against a 0.24% engagement rate shows wide reach and thin engagement. The gap to the 0.73% median among AI chart posts is the measured distance.

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

27 points read off this chart

Estimated from the image 73%
SeriesGroupValueRead
OpenAITerminal-Bench Science 0.164.6 %printed
GPT-5.6Terminal-Bench Science 0.122.4 %printed
ClaudeTerminal-Bench Science 0.152.6 %printed
OpenAIAutomationBench41.4 %printed
GPT-5.6AutomationBench18.1 %printed
ClaudeAutomationBench31.4 %printed
OpenAIFrontierMath Tier 4 (v2)97.6 %printed
GPT-5.6FrontierMath Tier 4 (v2)83 %printed
ClaudeFrontierMath Tier 4 (v2)87.8 %printed
OpenAITerminal-Bench 4.057.9 %printed
GPT-5.6Terminal-Bench 4.037.3 %printed
ClaudeTerminal-Bench 4.055.8 %printed

Showing 12 of 27. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/943bb4e36c75.json
GET https://viral-chart.com/api/charts/943bb4e36c75.json
GET https://viral-chart.com/api/charts/943bb4e36c75.skill.md

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 943bb4e36c75.

PathReturnsPlan
GET/api/v1/charts/943bb4e36c75Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/943bb4e36c75/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/943bb4e36c75/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/943bb4e36c75/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.

More charts about GPT-5.6

More from OpenAI

Questions people ask

Where does this chart come from?

OpenAI published it on Sep 3, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

Can I make a chart like this?

Use the format, not the picture. Open its data page and use Make one like this: it starts from this chart's numbers and takes yours.