Models
OpenAI
Artificial Analysis Coding Agent Index v1.1

OpenAIX · Jul 9, 2026 · official

Artificial Analysis Coding Agent Index v1.1

OpenAI's line chart drew 272.1K views on X: 1.7x its median post and #222 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

Coding agent index vs API cost

XData Line chart GPT-5 All OpenAI models Claude Fable 5GPT-5.6 SolGPT-5.6 LunaGPT-5.5Claude Opus 4.8Gemini 3.1 Pro Preview

OpenAI: Artificial Analysis Coding Agent Index v1.1 — Published by OpenAI on X, Jul 9, 2026. Source: x.com

63/ 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.

#378 of 1,162 AI chart posts we hold · #33 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 and ranks #378 of 1,162 AI chart posts by score.

Its 0.44% engagement rate sits at the 22nd percentile among AI chart posts, below the 0.73% median.

The post ranked #1 of 3 posts from this account that day by views.

At 0.050 views per follower, it lands at the 27th percentile among posts with known followers, against a 0.20 median.

0.05views per follower

272.1K views from an account with 5.4M followers.

3.7xthe median line chart post

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

3posts from OpenAI that day

Part of a run of 3 posts on Jul 9, 2026. This one was #1 of 3 by views that day.

bottom 22%engagement rate

0.44% 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 #378 of 1,162

Views	272.1K	#222	top 19%
Likes	1.1K	#256	top 22%
Engagement rate	0.44%	#902	bottom 22%
Save rate	0.049%	#844	bottom 27%

Among 74 OpenAI posts

Score #33 of 74

Views	272.1K	#26	top 34%
Likes	1.1K	#27	top 36%
Engagement rate	0.44%	#51	bottom 32%
Save rate	0.049%	#38	bottom 49%

Growth

Our reads cover 28 hours

Views272.1K

Age at our read96 days

Views per day of life2.8Kviews divided by days since it was posted

Gained between our reads+31views over 28 hours, about 27 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 Artificial Analysis Coding Agent Index v1.1 chart

A line chart on coding agent index vs API cost drew 272K views but a 0.44% engagement rate, below the 0.73% median for AI chart posts.

What happened

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

The numbers

It reached 272K views, ranking #222 of 1,162 AI chart posts by views. Its score of 63 placed it #378 of 1,162 AI chart posts and #33 of 74 OpenAI posts.

The lesson

The chart shows 6 models on a line chart, and the post drew 272K views against a 39.9K median among AI chart posts. Its 0.44% engagement rate, at the 22nd percentile, sits below the 0.73% median for AI chart posts.

What it means

At #33 of 74 OpenAI posts by score, this chart post trails the account's own median engagement of 0.54%. The 0.050 views per follower, against a 0.20 median, shows the gap between reach and follower-level pull.

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

31 points read off this chart

Estimated from the image 51%

Series	Value	Read
GPT-5.6 Sol	80	estimated
GPT-5.6 Sol	76	estimated
GPT-5.6 Sol	73.5	estimated
GPT-5.6 Sol	69	estimated
GPT-5.6 Sol	58.5	estimated
GPT-5.6 Luna	74	estimated
GPT-5.6 Luna	70	estimated
GPT-5.6 Luna	64	estimated
GPT-5.6 Luna	54	estimated
GPT-5.6 Luna	42.5	estimated
GPT-5.6 Luna	38	estimated
GPT-5.5	76	estimated

Showing 12 of 31. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/d4baaa932e10.json
GET https://viral-chart.com/api/charts/d4baaa932e10.json
GET https://viral-chart.com/api/charts/d4baaa932e10.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 d4baaa932e10.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/d4baaa932e10`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/d4baaa932e10/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/d4baaa932e10/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/d4baaa932e10/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.