Models
OpenAI
Agent Arena Leaderboard Rankings

@arenaX · Sep 25, 2026

Agent Arena Leaderboard Rankings

@arena's benchmark bar chart drew 152.5K views on X: 3.3x its median post and #310 of 1,162 AI chart posts we hold by views. Read Oct 13, 2026.

GPT-6 Sol ranked #6 with 7.7% improvement

XData Benchmark bar chart GPT-6 All OpenAI modelsClaude Fable 5.1 (Max)GPT-6 Astra (Max)Claude Opus 5 (High)Claude Opus 5 (Max)Claude Fable 5 (High)GPT-6 Sol (Max)Claude Opus 4.8 (High)GPT-5.6 Sol (xHigh)

@arena: Agent Arena Leaderboard Rankings — Published by @arena on X, Sep 25, 2026. Source: x.com

58/ 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.

#484 of 1,162 AI chart posts we hold · #97 of 239 @arena 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 #484 of 1,162 AI chart posts.

Its 152K views are 3.3x @arena's median post, ranking #58 of 239 @arena posts.

The 0.48% engagement rate sits at the 25th percentile among AI chart posts, below the 0.73% median.

It was one of 4 posts from this account that day, ranking #2 of 4 by views.

3.3x@arena's median post

152.5K views, where @arena's typical post gets 46.2K.

4posts from @arena that day

Part of a run of 4 posts on Sep 25, 2026. This one was #2 of 4 by views that day.

3.4xthe median benchmark bar chart post

Across 215 benchmark bar chart posts we hold, the median gets 44.4K views.

bottom 25%engagement rate

0.48% 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 239 from @arena.

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 #484 of 1,162

Views	152.5K	#310	top 27%
Likes	644	#375	top 32%
Engagement rate	0.48%	#869	bottom 25%
Save rate	0.052%	#801	bottom 31%

Among 239 @arena posts

Score #97 of 239

Views	152.5K	#58	top 24%
Likes	644	#64	top 27%
Engagement rate	0.48%	#176	bottom 27%
Save rate	0.052%	#184	bottom 23%

Growth

Our reads cover 28 hours

Views152.5K

Age at our read18 days

Views per day of life8.5Kviews divided by days since it was posted

Gained between our reads+13views over 28 hours, about 11 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.

@arena'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 25, 2026

@arena posts Agent Arena Leaderboard Rankings chart

A benchmark bar chart of 25 models drew 152K views but a 0.48% engagement rate, below the 0.73% median for AI chart posts.

What happened

@arena posted a Benchmark bar chart on September 25, 2026, showing Agent Arena Leaderboard Rankings. It came with 3 other posts from this account that day, including one on How Claude Models Write Language Complexity.

The numbers

The post reached 152K views, ranking #310 of 1,162 AI chart posts and #58 of 239 @arena posts. Its score rank is #484 of 1,162 AI chart posts.

The lesson

A 25-model benchmark bar chart drew 152K views but a 0.48% engagement rate, below the 0.73% median for AI chart posts. The save rate was 0.052%.

What it means

For @arena, this post's 152K views are 3.3x its own median, yet its 0.48% engagement rate is below the 0.68% median for this account. The gap between views and engagement shows wide but thin performance.

Written by ViralChart from public numbers read on Oct 13, 2026. Every number is checked against our data before it is shown.

Updates: what @arena posted next

Data and API

25 points read off this chart

Estimated from the image 76%

Group	Value	Read
Claude Fable 5.1 (Max)	13.8 %	printed
GPT-6 Astra (Max)	10.8 %	printed
Claude Opus 5 (High)	9.8 %	printed
Claude Opus 5 (Max)	9.5 %	printed
Claude Fable 5 (High)	8.3 %	printed
GPT-6 Sol (Max)	7.7 %	printed
Claude Opus 4.8 (High)	7.3 %	printed
GPT-5.6 Sol (xHigh)	6.2 %	printed
Claude Sonnet 5 (High)	4.8 %	printed
Kimi K3 (Max)	4.4 %	printed
Hy4 preview	4.4 %	printed
GPT 5.5 (xHigh)	4.1 %	estimated

Showing 12 of 25. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/f9f13e4b776a.json
GET https://viral-chart.com/api/charts/f9f13e4b776a.json
GET https://viral-chart.com/api/charts/f9f13e4b776a.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 f9f13e4b776a.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/f9f13e4b776a`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/f9f13e4b776a/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/f9f13e4b776a/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/f9f13e4b776a/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.

More charts about GPT-6

OfficialX · OpenAISep 29, 2026

Model Cost vs Score208.5K views · 1.4K likes

Data

GPT-6: OSWorld 2.0 offline set: Score vs Cost

OfficialX · OpenAISep 29, 2026

OSWorld 2.0 offline set: Score vs Cost208.5K views · 1.4K likes

Data

GPT-6: DeepSWE Model Performance vs Cost

OfficialX · OpenAISep 29, 2026

DeepSWE Model Performance vs Cost208.5K views · 1.4K likes

Data

GPT-6: Factual error rate vs cost on difficult prompts

OfficialX · OpenAISep 29, 2026

Factual error rate vs cost on difficult prompts20.9K views · 118 likes

Data

OfficialBlog · OpenAIOct 7, 2026

Prompt caching usage

X · @arenaSep 5, 2026

Code GPT-6 Astra (Max) Ranked #1805.6K views · 4.2K likes

Data

More from OpenAI

OpenAI line chart: Output tokens by department

2.3x

OpenAI·Jun 2026

Output tokens by department

1.3M views5.4K likes0.5% eng.

Data

OpenAI annotated chart: Research paper benchmarking

2.9x

OpenAI·Apr 2025

Research paper benchmarking

1.1M views7K likes0.8% eng.

2.0x

OpenAI·Sep 2026

AI model performance

999.9K views4.8K likes0.6% eng.

Data

ChatGPT: Artificial Analysis Intelligence Index v4.1

OfficialX · OpenAIJul 30, 2026

Artificial Analysis Intelligence Index v4.121M views · 19.5K likes

Data

OfficialX · OpenAIMar 5, 2026

AI Model Benchmark Comparison7.2M views · 23.2K likes

Data

ChatGPT: GPT4 Turbo Benchmark Comparison

OfficialX · OpenAIApr 12, 2024

GPT4 Turbo Benchmark Comparison6.4M views · 6.7K likes

Data

OfficialX · OpenAISep 3, 2026

AI Model Benchmark Comparison5.4M views · 10.3K likes

Data

OfficialX · OpenAIDec 11, 2025

AI Model Benchmark Comparison2M views · 3.8K likes

Data

GPT-5.6: TerminalBench 2.1 AI Model Scores

OfficialX · OpenAIJun 26, 2026

TerminalBench 2.1 AI Model Scores1.9M views · 3.9K likes

Data

Questions people ask

Where does this chart come from?

@arena published it on Sep 25, 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.