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FrontierMath accuracy comparison of Grok models

@EpochAIResearchX · Apr 11, 2025

FrontierMath accuracy comparison of Grok models

@EpochAIResearch's benchmark bar chart drew 3.1K views on X: 0.6x @epochairesearch's median post and #1,034 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

FrontierMath accuracy for Grok-3 and Grok-3 mini vs leading models

XData Benchmark bar chart Grok 3 All xAI models o3-mini o1 Claude 3.7 Sonnet Grok-3 Grok-2Grok-3 mini

@EpochAIResearch: FrontierMath accuracy comparison of Grok models — Published by @EpochAIResearch on X, Apr 11, 2025. Source: x.com

32/ 100

ViralChart score

Small but loved

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

#878 of 1,162 AI chart posts we hold · #48 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, at #878 of 1,162 AI chart posts.

Its 1.20% engagement rate sits at the 83rd percentile among AI chart posts, against a 0.73% median.

The score of 32 lands at #878 of 1,162 AI chart posts and #48 of 59 @EpochAIResearch posts.

At 3.1K views against a 44.4K median for benchmark bar charts, the ratio is 0.07x.

0.1xthe median benchmark bar chart post

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

top 17%engagement rate

1.20% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

3posts from @epochairesearch that day

Part of a run of 3 posts on Apr 11, 2025. This one was #2 of 3 by views that day.

0.6x@epochairesearch's median post

3.1K views, where @epochairesearch's typical post gets 5.3K.

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 #878 of 1,162

Views	3.1K	#1,034	bottom 11%
Likes	31	#948	bottom 18%
Engagement rate	1.20%	#199	top 17%
Save rate	0.097%	#445	top 38%

Among 59 @epochairesearch posts

Score #48 of 59

Views	3.1K	#39	bottom 35%
Likes	31	#45	bottom 24%
Engagement rate	1.20%	#37	bottom 38%
Save rate	0.097%	#40	bottom 33%

Growth

One read so far

Views3.1K

Age at our read549 days

Views per day of life6views 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 · Apr 11, 2025

@EpochAIResearch posts FrontierMath accuracy comparison of Grok models

The benchmark bar chart drew 3.1K views and a 1.20% engagement rate, above the 0.73% median among AI chart posts.

What happened

@EpochAIResearch posted a FrontierMath accuracy comparison of Grok models on April 11, 2025. It was one of 3 posts from the account that day, alongside a GPQA Diamond accuracy comparison and an OTIS Mock AIME accuracy comparison.

The numbers

It reached 3.1K views, ranking #1,034 of 1,162 AI chart posts. Its score of 32 ranks #878 of 1,162 AI chart posts and #48 of 59 @EpochAIResearch posts.

The lesson

A benchmark bar chart at 3.1K views against a 44.4K median for the type still drew a 1.20% engagement rate against a 0.75% median for the type. The save rate was 0.097%.

What it means

At #48 of 59 @EpochAIResearch posts, this chart sits below the account's own 1.37% median engagement rate despite its 1.20% rate clearing the 0.73% median among AI chart posts.

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

9 points read off this chart

Estimated from the image 30%

Group	Value	Read
o3-mini reasoning = high	9 %	estimated
o1 reasoning = high	8 %	estimated
o3-mini reasoning = medium	6.5 %	estimated
Grok-3 mini reasoning = high	5.5 %	estimated
Claude 3.7 Sonnet 10K extended thinking	4.5 %	estimated
Grok-3	4 %	estimated
Claude 3.7 Sonnet	3.5 %	estimated
Grok-3 mini reasoning = low	3 %	estimated
Grok-2	1 %	estimated

Max plan · API

GET https://viral-chart.com/api/posts/4ad7f9a37842.json
GET https://viral-chart.com/api/charts/4ad7f9a37842.json
GET https://viral-chart.com/api/charts/4ad7f9a37842.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 4ad7f9a37842.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 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/4ad7f9a37842`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/4ad7f9a37842/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/4ad7f9a37842/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/4ad7f9a37842/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.