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OpenAIX · Sep 29, 2026 · official

DeepSWE Model Performance vs Cost

OpenAI's line chart drew 208.5K views on X: 1.3x its median post and #256 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Model score vs cost per task

XDataLine chartGPT-6All OpenAI modelsGPT-6 SolGPT-6 AstraGPT-6.1 Sol
Published by OpenAI on X, Sep 29, 2026. Source: x.com
70/ 100

ViralChart score

Reached and resonated

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

#221 of 1,162 AI chart posts we hold · #15 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

The post sits in Reached and resonated, at #221 of 1,162 AI chart posts by score.

Its score of 70 lands at #221 of 1,162 AI chart posts, above the field's middle.

Its 0.038 views per follower is 0.19x the 0.20 median across posts with known followers, a 23rd percentile mark.

It was #1 of 3 posts from this account that day, ahead of the 148K and 20.9K posts.

0.04views per follower

208.5K views from an account with 5.4M followers.

3charts in this one post

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

3posts from OpenAI that day

Part of a run of 3 posts on Sep 29, 2026. This one was #1 of 3 by views that day.

2.8xthe 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 #221 of 1,162

Views208.5K#256top 22%
Likes1.4K#213top 18%
Engagement rate0.77%#545top 47%
Save rate0.062%#701bottom 40%

Among 74 OpenAI posts

Score #15 of 74

Views208.5K#34top 45%
Likes1.4K#22top 29%
Engagement rate0.77%#20top 26%
Save rate0.062%#24top 32%

Growth

Our reads cover 26 hours

Views208.5K
Age at our read14 days
Views per day of life14.9Kviews divided by days since it was posted
Gained between our reads+771views over 26 hours, about 705 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 DeepSWE model performance vs cost line chart

A line chart on model score against cost per task drew 208K views and 1.4K likes, with a 0.77% engagement rate.

What happened

OpenAI published a line chart on DeepSWE model performance vs cost on September 29, 2026, one of 3 charts in the post. It came with 2 other posts from the account that day: a computer-use safety stress test and a factual error rate vs cost chart.

The numbers

It reached 208K views, #256 of 1,162 AI chart posts, against a 39.9K median among AI chart posts. Its score of 70 ranks #221 of 1,162 AI chart posts and #15 of 74 OpenAI posts.

The lesson

The chart shows model score against cost per task, and the post drew 1.4K likes at a 0.77% engagement rate. Its 0.062% save rate sits against that engagement, so the saves number is the one to watch on a 3-chart post.

What it means

At #15 of 74 OpenAI posts by score, this chart sits inside the account's own top group, while its 0.038 views per follower is 0.19x the 0.20 median across posts with known followers. The 208K views against a 39.9K median among AI chart posts show the reach gap this publisher's charts can open.

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

Updates: what OpenAI posted next

  1. Factual error rate vs cost on difficult prompts20.9K views

Data and API

16 points read off this chart

Estimated from the image 48%
SeriesGroupValueRead
GPT-6.1 Sol65 %estimated
GPT-6.1 Sol72 %estimated
GPT-6.1 Sol70 %estimated
GPT-6.1 Sol70 %estimated
GPT-6.1 Sol70 %estimated
GPT-6 Sol38 %estimated
GPT-6 Sol58 %estimated
GPT-6 Sol65 %estimated
GPT-6 Sol67 %estimated
GPT-6 Sol66 %estimated
GPT-6 Sol68 %estimated
GPT-6 Astra67.5 %estimated

Showing 12 of 16. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/3b3c36fe951b.json
GET https://viral-chart.com/api/charts/3b3c36fe951b.json
GET https://viral-chart.com/api/charts/3b3c36fe951b.skill.md
Make one like thisOpen the post JSONChart data JSONSkill fileAPI 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 3b3c36fe951b.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.48 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

See the Max planAPI docs
PathReturnsPlan
GET/api/v1/charts/3b3c36fe951bTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/3b3c36fe951b/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/3b3c36fe951b/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/3b3c36fe951b/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.

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.