Models
OpenAI
Agents' Last Exam

OpenAIX · Jul 9, 2026 · official

Agents' Last Exam

OpenAI's line chart drew 162.7K views on X: 1.0x its median post and #295 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

AI model performance vs API cost

XData Line chart GPT-5 All OpenAI models Claude Fable 5GPT-5.6 SolGPT-5.6 LunaGemini 3.1 Pro PreviewGPT-5.6 TerraGPT-5.5Claude Opus 4.8

OpenAI: Agents' Last Exam — Published by OpenAI on X, Jul 9, 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.

#223 of 1,162 AI chart posts we hold · #16 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 #223 of 1,162 AI chart posts.

Its 0.030 views per follower sits at 0.15x the median across posts with known followers, an 18th percentile mark.

The score of 70 lands at #223 of 1,162 AI chart posts and #16 of 74 OpenAI posts.

It ranked #2 of 3 posts from this account that day, with 3 posts from this account that day.

0.03views per follower

162.7K views from an account with 5.4M followers.

3posts from OpenAI that day

Part of a run of 3 posts on Jul 9, 2026. This one was #2 of 3 by views that day.

2.2xthe median line chart post

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

top 38%engagement rate

0.85% 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 #223 of 1,162

Views	162.7K	#295	top 25%
Likes	1.2K	#239	top 21%
Engagement rate	0.85%	#442	top 38%
Save rate	0.074%	#594	bottom 49%

Among 74 OpenAI posts

Score #16 of 74

Views	162.7K	#37	top 49%
Likes	1.2K	#26	top 34%
Engagement rate	0.85%	#13	top 17%
Save rate	0.074%	#16	top 21%

Growth

Our reads cover 28 hours

Views162.7K

Age at our read96 days

Views per day of life1.7Kviews divided by days since it was posted

Gained between our reads+30views over 28 hours, about 26 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 · Jul 9, 2026

OpenAI posts Agents' Last Exam line chart on July 9, 2026

The line chart plots AI model performance against API cost, drawing 163K views and a 0.85% engagement rate.

What happened

OpenAI published a line chart on July 9, 2026, covering Agents' Last Exam and AI model performance vs API cost. It came with 2 other posts from this account that day, on Artificial Analysis Coding Agent Index v1.1 and SEC-Bench Pro Multi-Agent Performance.

The numbers

The post drew 163K views, ranking #295 of 1,162 AI chart posts, against a median of 39.9K views among AI chart posts. Its score of 70 placed it at #223 of 1,162 AI chart posts and #16 of 74 OpenAI posts.

The lesson

The chart shows 7 models on a line chart, and the post earned a 0.074% save rate against a 0.85% engagement rate. A 7-model line chart at that save rate is what readers kept from this post.

What it means

At #16 of 74 OpenAI posts, this chart sits well inside the account's own range, while its 0.030 views per follower is 0.15x the median across posts with known followers. The gap between its #223 of 1,162 AI chart posts score rank and its 18th percentile views-per-follower mark is the measured spread.

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

Data and API

24 points read off this chart

Estimated from the image 34%

Series	Value	Read
GPT-5.6 Sol	30 %	estimated
GPT-5.6 Sol	42 %	estimated
GPT-5.6 Sol	48 %	estimated
GPT-5.6 Sol	52 %	estimated
GPT-5.6 Sol	55 %	estimated
GPT-5.6 Sol	53 %	estimated
GPT-5.6 Sol Luna	36 %	estimated
GPT-5.6 Sol Luna	41 %	estimated
GPT-5.6 Sol Luna	46 %	estimated
GPT-5.6 Sol Luna	50 %	estimated
GPT-5.5	37 %	estimated
GPT-5.5	42 %	estimated

Showing 12 of 24. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/f726707ce980.json
GET https://viral-chart.com/api/charts/f726707ce980.json
GET https://viral-chart.com/api/charts/f726707ce980.skill.md

Make one like this Open the post JSON Chart data JSON Skill file API 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 f726707ce980.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.34 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 plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/f726707ce980`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/f726707ce980/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/f726707ce980/render?view=1`	The draw-only view this page uses	Open
POST	`/mcp`	Tool get_chart_data with this id, for Claude, Cursor and other agents	Max

curlMax

curl -s https://viral-chart.com/api/v1/charts/f726707ce980/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.