Models
Anthropic
Compute equivalent gain by benchmark and thinking level

@EpochAIResearchX · Aug 2, 2025

Compute equivalent gain by benchmark and thinking level

@EpochAIResearch's grouped bar chart drew 1.4K views on X: 0.3x @epochairesearch's median post and #1,113 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Claude 3.7 Sonnet gain was a major algorithmic advance

XData Grouped bar chart Claude 3 All Anthropic modelsNo thinking16K thinking32K thinking64K thinking

@EpochAIResearch: Compute equivalent gain by benchmark and thinking level — Published by @EpochAIResearch on X, Aug 2, 2025. Source: x.com

34/ 100

ViralChart score

Small but loved

Fewer views than the median post but a higher engagement rate: a smaller crowd that acted on it.

#851 of 1,162 AI chart posts we hold · #42 of 59 @epochairesearch 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

It sits in the Small but loved quadrant, with a score rank of #851 of 1,162 AI chart posts.

Its 2.42% engagement rate sits at the 99th percentile among AI chart posts, against a 0.73% median.

Views of 1.4K are 0.27x this company's 5.3K median, ranking #50 of 59 @EpochAIResearch posts.

It ranked #4 of 4 posts from this account that day, with 4 posts published on August 2, 2025.

0.0xthe median grouped bar chart post

Across 108 grouped bar chart posts we hold, the median gets 87.5K views.

top 1%engagement rate

2.42% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

0.3x@epochairesearch's median post

1.4K views, where @epochairesearch's typical post gets 5.3K.

4posts from @epochairesearch that day

Part of a run of 4 posts on Aug 2, 2025. This one was #4 of 4 by views that day.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 59 from @epochairesearch.

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 #851 of 1,162

Views	1.4K	#1,113	bottom 4%
Likes	31	#951	bottom 18%
Engagement rate	2.42%	#10	top 1%
Save rate	0.142%	#251	top 22%

Among 59 @epochairesearch posts

Score #42 of 59

Views	1.4K	#50	bottom 16%
Likes	31	#46	bottom 24%
Engagement rate	2.42%	#6	top 9%
Save rate	0.142%	#27	top 45%

Growth

One read so far

Views1.4K

Age at our read436 days

Views per day of life3views 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.

@epochairesearch'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 · Aug 2, 2025

@EpochAIResearch charts compute equivalent gain by benchmark and thinking level

A grouped bar chart on compute equivalent gain drew 1.4K views and a 2.42% engagement rate, above the AI chart median.

What happened

@EpochAIResearch posted a grouped bar chart on compute equivalent gain by benchmark and thinking level on August 2, 2025. It was one of 4 posts from the account that day, alongside posts on o1-high vs GPT-4o, training GPT-4o on 9x more compute, and compute equivalent algorithmic gain.

The numbers

It reached 1.4K views, ranking #1,113 of 1,162 AI chart posts and #50 of 59 @EpochAIResearch posts. Its score rank is #851 of 1,162 AI chart posts.

The lesson

At a 0.14% save rate, this grouped bar chart with 4 models shown was saved less than it was liked. The 2.42% engagement rate, at the 99th percentile among AI chart posts, came with a 0.14% save rate.

What it means

For @EpochAIResearch, this post's 1.4K views are 0.27x the account's 5.3K median, ranking #50 of 59 of its posts. The 2.42% engagement rate against a 1.37% median for this account shows the gap between likes and views.

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

Updates: what @epochairesearch posted next

Data and API

12 points read off this chart

Estimated from the image 54%

Series	Group	Value	Read
No thinking	MATH level 5	1.8 x	estimated
16K thinking	MATH level 5	4.2 x	estimated
32K thinking	MATH level 5	5.5 x	estimated
64K thinking	MATH level 5	6.5 x	estimated
No thinking	OTIS Mock AIME 2024-2025	7.5 x	estimated
16K thinking	OTIS Mock AIME 2024-2025	32.5 x	estimated
32K thinking	OTIS Mock AIME 2024-2025	38 x	estimated
64K thinking	OTIS Mock AIME 2024-2025	45 x	estimated
No thinking	GPQA diamond	1.8 x	estimated
16K thinking	GPQA diamond	4.2 x	estimated
32K thinking	GPQA diamond	4.2 x	estimated
64K thinking	GPQA diamond	6.5 x	estimated

Max plan · API

GET https://viral-chart.com/api/posts/5053e651f11d.json
GET https://viral-chart.com/api/charts/5053e651f11d.json
GET https://viral-chart.com/api/charts/5053e651f11d.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 5053e651f11d.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/5053e651f11d`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/5053e651f11d/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/5053e651f11d/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/5053e651f11d/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.