Models
OpenAI
Terminal-Bench 4.0: Accuracy vs API Cost

OpenAIX · Sep 3, 2026 · official

Terminal-Bench 4.0: Accuracy vs API Cost

OpenAI's line chart drew 46.5K views on X: 0.3x its median post and #551 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI model accuracy versus API cost comparison

XData Line chart GPT-5.6 All OpenAI models GPT-6 Astra Claude Fable 5 Claude Opus 5GPT-5.6 SolClaude Fable 5.1

OpenAI: Terminal-Bench 4.0: Accuracy vs API Cost — Published by OpenAI on X, Sep 3, 2026. Source: x.com

64/ 100

ViralChart score

Reached and resonated

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

#356 of 1,162 AI chart posts we hold · #32 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 Reached and resonated, with a score rank of #356 of 1,162 AI chart posts.

Its 46.5K views sit at 0.29x OpenAI's 162K median, ranking #56 of 74 OpenAI posts.

Engagement lands at 1.24%, the 85th percentile among AI chart posts against a 0.73% median.

On launch day it placed #2 of 2 posts from this account by views.

0.10views per follower

46.5K views from an account with 457.2K followers.

0.3xOpenAI's median post

46.5K views, where OpenAI's typical post gets 161.5K.

top 15%engagement rate

1.24% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

2posts from OpenAI that day

Part of a run of 2 posts on Sep 3, 2026. This one was #2 of 2 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 #356 of 1,162

Views	46.5K	#551	top 47%
Likes	508	#438	top 38%
Engagement rate	1.24%	#173	top 15%
Save rate	0.127%	#305	top 26%

Among 74 OpenAI posts

Score #32 of 74

Views	46.5K	#56	bottom 25%
Likes	508	#46	bottom 39%
Engagement rate	1.24%	#3	top 3%
Save rate	0.127%	#4	top 5%

Growth

One read so far

Views46.5K

Age at our read39 days

Views per day of life1.2Kviews 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 · Sep 3, 2026

OpenAI posts Terminal-Bench 4.0 accuracy versus API cost line chart

The line chart drew 46.5K views and a 1.24% engagement rate, the 85th percentile among AI chart posts.

What happened

OpenAI published a line chart on September 3, 2026 comparing AI model accuracy against API cost. It was one of 2 posts from the account that day, alongside an AI Model Benchmark Comparison that drew 5.4M views.

The numbers

The post reached 46.5K views, ranking #551 of 1,162 AI chart posts and #56 of 74 OpenAI posts. Its score placed #356 of 1,162 AI chart posts.

The lesson

A line chart with 5 models shown drew a 1.24% engagement rate, the 85th percentile among AI chart posts. The 0.13% save rate sits below the engagement rate, so the post drew reactions more than saves.

What it means

At #32 of 74 OpenAI posts by score, this chart trails the account's own median views of 162K by 0.29x. Its 1.24% engagement rate against the account's 0.54% median shows the gap is in reach, not response.

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

Data and API

15 points read off this chart

Estimated from the image 39%

Series	Value	Read
GPT-6 Astra	50 %	estimated
GPT-6 Astra	54 %	estimated
GPT-6 Astra	56 %	estimated
GPT-6 Astra	54.5 %	estimated
GPT-5.6 Sol	8 %	estimated
GPT-5.6 Sol	21 %	estimated
GPT-5.6 Sol	26 %	estimated
GPT-5.6 Sol	28 %	estimated
GPT-5.6 Sol	37 %	estimated
Claude Fable 5.1	40 %	estimated
Claude Fable 5.1	43 %	estimated
Claude Fable 5.1	49 %	estimated

Showing 12 of 15. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/2b08b150dfd2.json
GET https://viral-chart.com/api/charts/2b08b150dfd2.json
GET https://viral-chart.com/api/charts/2b08b150dfd2.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 2b08b150dfd2.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.39 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/2b08b150dfd2`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/2b08b150dfd2/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/2b08b150dfd2/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/2b08b150dfd2/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 Sep 3, 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.