Models
Anthropic
Artificial Analysis Coding Index (Non-Reasoning Models)

@ArtificialAnlysX · Mar 28, 2025

Artificial Analysis Coding Index (Non-Reasoning Models)

@ArtificialAnlys's bar chart drew 9.6K views on X: 0.8x @artificialanlys's median post and #824 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

Average coding index for non-reasoning models

XData Bar chart Claude 3 All Anthropic models Claude 3.7 SonnetGPT-4o (March 2025)DeepSeek V3 (Mar '25)DeepSeek V3 (Dec '24)Gemini 2.0 FlashGPT-4o (Nov '24)Mistral Large 2 (Nov '24)Llama 3.3 70B

@ArtificialAnlys: Artificial Analysis Coding Index (Non-Reasoning Models) — Published by @ArtificialAnlys on X, Mar 28, 2025. Source: x.com

35/ 100

ViralChart score

Quiet

Fewer views and a lower engagement rate than the median post.

#827 of 1,162 AI chart posts we hold · #256 of 491 @artificialanlys 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 Quiet quadrant, with a score rank of #827 of 1,162 AI chart posts.

The post carries 2 charts, and every chart in the post shares the post's numbers.

It ranked #2 of 2 posts from this account that day, with 1 other post that day.

Its score of 35 sits at #827 of 1,162 AI chart posts.

2charts in this one post

The numbers belong to the post, so every chart in it shares them and it is ranked once.

2posts from @artificialanlys that day

Part of a run of 2 posts on Mar 28, 2025. This one was #2 of 2 by views that day.

0.4xthe median bar chart post

Across 241 bar chart posts we hold, the median gets 25.6K views.

top 41%save rate

0.093% of viewers bookmarked it to come back to. The median post gets 0.076%.

Public X numbers from our read on Oct 12, 2026. Peers: 1,162 AI chart posts we hold and 491 from @artificialanlys.

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 #827 of 1,162

Views	9.6K	#824	bottom 29%
Likes	58	#844	bottom 28%
Engagement rate	0.62%	#690	bottom 41%
Save rate	0.093%	#473	top 41%

Among 491 @artificialanlys posts

Score #256 of 491

Views	9.6K	#263	bottom 47%
Likes	58	#269	bottom 45%
Engagement rate	0.62%	#327	bottom 34%
Save rate	0.093%	#208	top 42%

Growth

One read so far

Views9.6K

Age at our read563 days

Views per day of life17views 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.

@artificialanlys'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 · Mar 28, 2025

@ArtificialAnlys posts Artificial Analysis Coding Index for non-reasoning models

A 2-chart post on March 28, 2025 drew 9.6K views and a 0.62% engagement rate, both below the AI chart median.

What happened

@ArtificialAnlys published a bar chart on the Artificial Analysis Coding Index for non-reasoning models on March 28, 2025. The post carried 2 charts, including LiveCodeBench (Coding): Non-Reasoning Models, and came with 1 other post from the account that day.

The numbers

It reached 9.6K views, ranking #824 of 1,162 AI chart posts, against a median of 39.9K views among AI chart posts. Its score rank is #827 of 1,162 AI chart posts and #256 of 491 @ArtificialAnlys posts.

The lesson

The chart shows printed values from 40 down to 32 across 12 models, yet the post's save rate was 0.093%. A 2-chart post with 12 models still landed at #827 of 1,162 AI chart posts.

What it means

At #256 of 491 @ArtificialAnlys posts, this chart post sits below the account's own median. The 9.6K views against a 39.9K median among AI chart posts mark a wide gap for this publisher.

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

Updates: what @artificialanlys posted next

Data and API

12 points read off this chart

Estimated from the image 97%

Group	Value	Read
GPT-4o (March 2025)	40	printed
Claude 3.7 Sonnet	38	printed
DeepSeek V3 (Mar '25)	38	printed
DeepSeek V3 (Dec '24)	36	printed
Gemini 2.0 Flash	32	printed
GPT-4o (Nov '24)	32	printed
Mistral Large 2 (Nov '24)	29	printed
Llama 3.3 70B	27	printed
GPT-4o mini	23	printed
Nova Pro	22	printed
Gemma 3 27B	17	printed
Llama 3.1 8B	12	printed

Max plan · API

GET https://viral-chart.com/api/posts/898d6b43614c.json
GET https://viral-chart.com/api/charts/898d6b43614c.json
GET https://viral-chart.com/api/charts/898d6b43614c.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 898d6b43614c.

See the Max plan API docs

	Path	Returns	Plan
GET	`/api/v1/charts/898d6b43614c`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/898d6b43614c/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/898d6b43614c/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/898d6b43614c/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.