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OpenAIX · Jun 10, 2025 · official

OpenAI o3-pro evaluation benchmarks

OpenAI's grouped bar chart drew 95.6K views on X: 0.6x its median post and #386 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

OpenAI o3-pro benchmarks across math, science, and code

Published by OpenAI on X, Jun 10, 2025. Source: x.com
56/ 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.

#518 of 1,162 AI chart posts we hold · #46 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 the Wide but thin quadrant, with a score rank of #518 of 1,162 AI chart posts.

At 0.018 views per follower, this post sits in the bottom decile, against a median of 0.20 across posts with known followers.

It ranked #3 of 4 posts from this account that day, with 95.6K views against 383K for the day's top post.

Its 0.050% save rate lands at the 29th percentile among AI chart posts, below the 0.076% median.

0.02views per follower

95.6K views from an account with 5.4M followers.

4posts from OpenAI that day

Part of a run of 4 posts on Jun 10, 2025. This one was #3 of 4 by views that day.

bottom 29%save rate

0.050% of viewers bookmarked it to come back to. The median post gets 0.076%.

0.6xOpenAI's median post

95.6K views, where OpenAI's typical post gets 161.5K.

Public X numbers from our read on Oct 12, 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 #518 of 1,162

Views95.6K#386top 33%
Likes513#436top 37%
Engagement rate0.63%#686bottom 41%
Save rate0.050%#825bottom 29%

Among 74 OpenAI posts

Score #46 of 74

Views95.6K#47bottom 37%
Likes513#44bottom 41%
Engagement rate0.63%#28top 37%
Save rate0.050%#36top 48%

Growth

One read so far

Views95.6K
Age at our read489 days
Views per day of life196views divided by days since it was posted

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 · Jun 10, 2025

OpenAI posts o3-pro benchmark chart across math and science

A grouped bar chart of o3-pro pass@1 accuracy drew 95.6K views and a 0.63% engagement rate, with saves at the 29th percentile.

What happened

OpenAI published a grouped bar chart on June 10, 2025, showing o3-pro evaluation benchmarks across math, science, and code. It was one of 4 posts from the account that day, alongside posts on o3 price reduction and o3-pro comparative evaluations with human testers.

The numbers

The post reached 95.6K views, ranking #386 of 1,162 AI chart posts by views and #46 of 74 OpenAI posts by score. Its score rank is #518 of 1,162 AI chart posts.

The lesson

A 0.050% save rate, at the 29th percentile among AI chart posts, sits below the 0.076% median. The chart shows pass@1 accuracy for 3 models, and the saves rank #825 of 1,162 AI chart posts.

What it means

At #46 of 74 OpenAI posts by score, this chart post trails the account's own median. Its 0.018 views per follower is far below the 0.20 median across posts with known followers.

Written by ViralChart from public numbers read on Oct 12, 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 97%
SeriesGroupValueRead
o1-proCompetition Math (AIME 2024)86printed
o3(medium)Competition Math (AIME 2024)90printed
o3-proCompetition Math (AIME 2024)93printed
o1-proPhD Science Questions (GPQA Diamond)79printed
o3(medium)PhD Science Questions (GPQA Diamond)81printed
o3-proPhD Science Questions (GPQA Diamond)84printed
o1-proCompetition Code (Codeforces)1707printed
o3(medium)Competition Code (Codeforces)2517printed
o3-proCompetition Code (Codeforces)2748printed

Max plan · API

GET https://viral-chart.com/api/posts/70a12e232a91.json
GET https://viral-chart.com/api/charts/70a12e232a91.json
GET https://viral-chart.com/api/charts/70a12e232a91.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 70a12e232a91.

PathReturnsPlan
GET/api/v1/charts/70a12e232a91Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/70a12e232a91/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/70a12e232a91/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/70a12e232a91/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 Jun 10, 2025 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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