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OpenAIX · Oct 6, 2025 · official

GPQA Diamond PhD-level science questions

OpenAI's bar chart drew 475.6K views on X: 2.9x its median post and #155 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

GPQA Diamond accuracy with and without thinking

XDataBar chartGPT-4oAll OpenAI modelsGPT-5 pro (python)GPT-5 pro (no tools)GPT-5 (python)GPT-5 (no tools)OpenAI o3 (no tools)GPT-4o (no tools)
Published by OpenAI on X, Oct 6, 2025. Source: x.com
68/ 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.

#265 of 1,162 AI chart posts we hold · #23 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 Wide but thin, at #265 of 1,162 AI chart posts.

Its 476K views sit 2.9x OpenAI's 162K median, at #16 of 74 OpenAI posts by views.

At 1.04 views per follower against a 0.20 median, it lands in the 78th percentile among posts with known followers.

A score of 68 puts it at #265 of 1,162 AI chart posts and #23 of 74 OpenAI posts.

19xthe median bar chart post

Across 241 bar chart posts we hold, the median gets 25.6K views.

2charts in this one post

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

2.9xOpenAI's median post

475.6K views, where OpenAI's typical post gets 161.5K.

bottom 25%engagement rate

0.46% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

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 #265 of 1,162

Views475.6K#155top 13%
Likes1.9K#166top 14%
Engagement rate0.46%#877bottom 25%
Save rate0.045%#874bottom 25%

Among 74 OpenAI posts

Score #23 of 74

Views475.6K#16top 21%
Likes1.9K#16top 21%
Engagement rate0.46%#49bottom 34%
Save rate0.045%#40bottom 47%

Growth

Our reads cover 27 hours

Views475.6K
Age at our read372 days
Views per day of life1.3Kviews divided by days since it was posted
Gained between our reads+2views over 27 hours, about 2 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 · Oct 6, 2025

OpenAI posts GPQA Diamond bar chart with and without thinking

A 2-chart post on GPQA Diamond accuracy drew 476K views against a 39.9K median among AI chart posts.

What happened

OpenAI published a bar chart on GPQA Diamond PhD-level science questions on October 6, 2025, with a second chart on AIME 2025 Competition Math Accuracy. That day the account posted 2 posts, the other on OpenAI API Service Health and Performance at 417K views.

The numbers

It reached 476K views, #155 of 1,162 AI chart posts by views and #16 of 74 OpenAI posts. Its score of 68 ranks #265 of 1,162 AI chart posts.

The lesson

The chart shows 6 models at 89.4% down to 77.8% accuracy, and the post's 0.045% save rate sits against a 0.46% engagement rate. A 6-model bar chart drew 476K views but a save rate of 0.045%.

What it means

At #23 of 74 OpenAI posts by score, this chart post trails the account's own top posts while its 476K views run 2.9x the 162K company median. The 0.46% engagement rate against a 0.045% save rate marks the gap between views and saves.

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. OpenAI API Service Health and Performance417.4K views
  2. Internal moderation eval (multi-policy accuracy)109.4K views
  3. SWE-bench Verified Accuracy Comparison114.7K views
  4. SWE-Lancer IC SWE Accuracy29.8K views
  5. SWE-Bench Verified Accuracy vs Thinking Tokens89K views

Data and API

7 points read off this chart

Estimated from the image 97%
SeriesGroupValueRead
With thinkingGPT-5 pro (python)89.4 %printed
With thinkingGPT-5 pro (no tools)88.4 %printed
With thinkingGPT-5 (python)87.3 %printed
With thinkingGPT-5 (no tools)85.7 %printed
Without thinkingGPT-5 (no tools)77.8 %printed
Without thinkingOpenAI o3 (no tools)83.3 %printed
Without thinkingGPT-4o (no tools)70.1 %printed

Max plan · API

GET https://viral-chart.com/api/posts/fe39f3811c5d.json
GET https://viral-chart.com/api/charts/fe39f3811c5d.json
GET https://viral-chart.com/api/charts/fe39f3811c5d.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 fe39f3811c5d.

See the Max planAPI docs
PathReturnsPlan
GET/api/v1/charts/fe39f3811c5dTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/fe39f3811c5d/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/fe39f3811c5d/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/fe39f3811c5d/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 Oct 6, 2025 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.