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OpenAIX · Sep 29, 2026 · official

Factual error rate vs cost on difficult prompts

OpenAI's line chart drew 20.9K views on X: 0.1x its median post and #710 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Factual error rate on difficult prompts (lower is better)

Published by OpenAI on X, Sep 29, 2026. Source: x.com
34/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#836 of 1,162 AI chart posts we hold · #72 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 lands in the Quiet quadrant, with a score rank of #836 of 1,162 AI chart posts.

At 20.9K views, this post sits at 0.13x OpenAI's median of 162K, ranking #68 of 74 OpenAI posts.

Its 0.029% save rate lands in the 14th percentile among AI chart posts, against a 0.076% median.

On a day with 3 posts from this account, it ranked #3 of 3 by views.

0.05views per follower

20.9K views from an account with 457.2K followers.

0.1xOpenAI's median post

20.9K views, where OpenAI's typical post gets 161.5K.

bottom 14%save rate

0.029% of viewers bookmarked it to come back to. The median post gets 0.076%.

0.3xthe median line chart post

Across 68 line chart posts we hold, the median gets 73.7K views.

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 #836 of 1,162

Views20.9K#710bottom 39%
Likes118#746bottom 36%
Engagement rate0.59%#719bottom 38%
Save rate0.029%#999bottom 14%

Among 74 OpenAI posts

Score #72 of 74

Views20.9K#68bottom 9%
Likes118#68bottom 9%
Engagement rate0.59%#31top 41%
Save rate0.029%#59bottom 21%

Growth

Our reads cover 27 hours

Views20.9K
Age at our read14 days
Views per day of life1.5Kviews divided by days since it was posted
Gained between our reads+11views over 27 hours, about 10 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 29, 2026

OpenAI posts line chart on factual error rate vs cost

The chart plots factual error rate on difficult prompts against cost, and the post drew 20.9K views and 118 likes.

What happened

OpenAI published a line chart on September 29, 2026, showing factual error rate on difficult prompts. It came with 2 other posts from the account that day, on Model Cost vs Score and Computer-use safety stress test.

The numbers

The post reached 20.9K views, ranking #710 of 1,162 AI chart posts by views and #68 of 74 OpenAI posts. Its score rank is #836 of 1,162 AI chart posts.

The lesson

A 0.029% save rate, in the 14th percentile among AI chart posts, sits below the 0.076% median. The line chart with 3 models shown drew 20.9K views against a 39.9K median among AI chart posts.

What it means

At #72 of 74 OpenAI posts by score, this chart sits near the bottom of the account's own range. The 0.13x gap to OpenAI's 162K median views marks it as a low-reach post for this publisher.

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

21 points read off this chart

Estimated from the image 67%
SeriesGroupValueRead
GPT-6.1 Sol8 %estimated
GPT-6.1 Sol11.5 %estimated
GPT-6.1 Sol6.75 %estimated
GPT-6.1 Sol5.25 %estimated
GPT-6.1 Sol4.5 %estimated
GPT-6.1 Sol4.5 %estimated
GPT-6.1 Sol4.5 %estimated
GPT-6 Sol8 %estimated
GPT-6 Sol11.5 %estimated
GPT-6 Sol6.75 %estimated
GPT-6 Sol5.25 %estimated
GPT-6 Sol4.5 %estimated

Showing 12 of 21. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/626207d29779.json
GET https://viral-chart.com/api/charts/626207d29779.json
GET https://viral-chart.com/api/charts/626207d29779.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 626207d29779.

PathReturnsPlan
GET/api/v1/charts/626207d29779Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/626207d29779/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/626207d29779/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/626207d29779/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

Where does this chart come from?

OpenAI published it on Sep 29, 2026 on X (x.com). We keep it here, with the publisher and date credited as text, so you can study it without leaving.

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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.