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OpenAIX · Jul 9, 2026 · official

SEC-Bench Pro Multi-Agent Performance

OpenAI's line chart drew 60.6K views on X: 0.4x its median post and #487 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Multi-agent scaling improves score over simulated latency

XDataLine chartGPT-5.6All OpenAI modelsGPT-5.6 SolGPT-5.6 Sol · 16 agentsGPT-5.6 Sol · 4 agentsGPT-5.6 Sol · 1 agent
Published by OpenAI on X, Jul 9, 2026. Source: x.com
52/ 100

ViralChart score

Reached and resonated

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

#590 of 1,162 AI chart posts we hold · #48 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 Reached and resonated quadrant at #590 of 1,162 AI chart posts.

Its 0.011 views per follower sits at the 5th percentile across posts with known followers, a bottom decile result.

Saves landed at 0.036%, the 18th percentile among AI chart posts and below the 0.076% median.

At 60.6K views it reached 0.38x OpenAI's 162K company median, ranking #52 of 74 OpenAI posts.

0.01views per follower

60.6K views from an account with 5.4M followers.

0.4xOpenAI's median post

60.6K views, where OpenAI's typical post gets 161.5K.

bottom 18%save rate

0.036% of viewers bookmarked it to come back to. The median post gets 0.076%.

3posts from OpenAI that day

Part of a run of 3 posts on Jul 9, 2026. This one was #3 of 3 by views that day.

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 #590 of 1,162

Views60.6K#487top 42%
Likes431#485top 42%
Engagement rate0.77%#542top 47%
Save rate0.036%#949bottom 18%

Among 74 OpenAI posts

Score #48 of 74

Views60.6K#52bottom 30%
Likes431#48bottom 36%
Engagement rate0.77%#19top 25%
Save rate0.036%#51bottom 32%

Growth

One read so far

Views60.6K
Age at our read95 days
Views per day of life637views 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 · Jul 9, 2026

OpenAI posts SEC-Bench Pro multi-agent scaling line chart

A single line chart on multi-agent scaling drew 60.6K views and a 0.77% engagement rate, with saves at the 18th percentile.

What happened

OpenAI published a line chart on SEC-Bench Pro multi-agent performance on July 9, 2026. It was one of 3 posts from the account that day, alongside Artificial Analysis Coding Agent Index v1.1 and Agents' Last Exam.

The numbers

It reached 60.6K views, #487 of 1,162 AI chart posts by views and #52 of 74 OpenAI posts. Its score of 52 ranked #590 of 1,162 AI chart posts and #48 of 74 OpenAI posts.

The lesson

A 0.036% save rate, the 18th percentile among AI chart posts, came with a 0.77% engagement rate. The line chart drew views, but saves stayed below the 0.076% median.

What it means

At #48 of 74 OpenAI posts by score, this chart sits below the account's own median. The 0.38x gap to OpenAI's 162K company median views shows the reach shortfall.

Written by ViralChart from public numbers read on Oct 12, 2026. Every number is checked against our data before it is shown.

Updates: what OpenAI posted next

  1. HealthBench Professional734.9K views
  2. Recent open weight models on long-horizon cyber ranges767.7K views
  3. Reviews with high scores by evaluation criteria111.5K views
  4. Word Error Rate Comparison24.2K views
  5. Real World Audio Recording23.7K views
  6. GPT-5.6 Sol on the ARC-AGI-3 Public Set224.2K views

Data and API

17 points read off this chart

Estimated from the image 30%
SeriesGroupValueRead
GPT-5.6 Sol · 16 agents1 min25 %estimated
GPT-5.6 Sol · 16 agents2 min45 %estimated
GPT-5.6 Sol · 16 agents3 min55 %estimated
GPT-5.6 Sol · 16 agents4 min60 %estimated
GPT-5.6 Sol · 16 agents6 min75 %estimated
GPT-5.6 Sol · 4 agents1 min20 %estimated
GPT-5.6 Sol · 4 agents2 min40 %estimated
GPT-5.6 Sol · 4 agents3 min50 %estimated
GPT-5.6 Sol · 4 agents4 min65 %estimated
GPT-5.6 Sol · 4 agents6 min72 %estimated
GPT-5.6 Sol · 1 agent1 min15 %estimated
GPT-5.6 Sol · 1 agent2 min30 %estimated

Showing 12 of 17. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/7355a4a075eb.json
GET https://viral-chart.com/api/charts/7355a4a075eb.json
GET https://viral-chart.com/api/charts/7355a4a075eb.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 7355a4a075eb.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 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/7355a4a075ebTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/7355a4a075eb/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/7355a4a075eb/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/7355a4a075eb/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 Jul 9, 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.