1. Charts
  2. Performance vs Latency for Apache 2.0 Models
a
@arenaX · Jan 31, 2025

Performance vs Latency for Apache 2.0 Models

@arena's scatter plot drew 12.9K views on X: 0.3x its median post and #781 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Performance / MMLU-Pro vs Latency

XDataScatter plotMistral SmallMistral Small 3Qwen-2.5 32BGPT-4o MiniGemma-2 27B
Published by @arena on X, Jan 31, 2025. Source: x.com
45/ 100

ViralChart score

Small but loved

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

#696 of 1,162 AI chart posts we hold · #169 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

It sits in the Small but loved quadrant, with a score rank of #696 of 1,162 AI chart posts.

Its 12.9K views sit at 0.28x @arena's median post, ranking #185 of 239 @arena posts.

Engagement lands at 1.19%, the 82nd percentile among AI chart posts and 1.6x their 0.73% median.

Posted on a day @arena published 2 posts, it ranks #2 of 2 by views that day.

0.06views per follower

12.9K views from an account with 234.1K followers.

0.3x@arena's median post

12.9K views, where @arena's typical post gets 46.2K.

top 18%engagement rate

1.19% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

2posts from @arena that day

Part of a run of 2 posts on Jan 31, 2025. 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 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 #696 of 1,162

Views12.9K#781bottom 33%
Likes139#724bottom 38%
Engagement rate1.19%#204top 18%
Save rate0.085%#527top 45%

Among 239 @arena posts

Score #169 of 239

Views12.9K#185bottom 23%
Likes139#173bottom 28%
Engagement rate1.19%#22top 9%
Save rate0.085%#109top 45%

Growth

One read so far

Views12.9K
Age at our read619 days
Views per day of life21views 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.

@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 · Jan 31, 2025

@arena scatter plots Performance vs Latency for Apache 2.0 models

A 4-model scatter plot from @arena drew 12.9K views and a 1.19% engagement rate, above the AI chart median.

What happened

@arena posted a scatter plot on Performance vs Latency for Apache 2.0 Models on January 31, 2025. That day the account published 2 posts, the other on Competition Math (AIME 2024).

The numbers

It reached 12.9K views, ranking #781 of 1,162 AI chart posts and #185 of 239 @arena posts. Its score of 45 ranks #696 of 1,162 AI chart posts.

The lesson

The chart shows 4 models on a scatter plot, and the post's 1.19% engagement rate beat the 0.73% AI chart median. A 4-model scatter can hold attention even when views trail.

What it means

At #185 of 239 @arena posts by views, this chart sits below the account's 46.2K median. The 1.19% engagement rate against the 0.73% AI chart median shows the gap is in reach, not in response.

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

Data and API

4 points read off this chart

Estimated from the image 64%
SeriesGroupValueRead
Mistral Small 366.1estimated
Qwen-2.5 32B68estimated
GPT-4o Mini62estimated
Gemma-2 27B54estimated

Max plan · API

GET https://viral-chart.com/api/posts/a2f13892febf.json
GET https://viral-chart.com/api/charts/a2f13892febf.json
GET https://viral-chart.com/api/charts/a2f13892febf.skill.md

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 a2f13892febf.

PathReturnsPlan
GET/api/v1/charts/a2f13892febfTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/a2f13892febf/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/a2f13892febf/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/a2f13892febf/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 Mistral Small

More from Mistral AI

Questions people ask

Where does this chart come from?

@arena published it on Jan 31, 2025 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.