Models
Anthropic
MirrorCodeCode benchmark: Opus 4.6 performance

@EpochAIResearchX · Apr 10, 2026

MirrorCodeCode benchmark: Opus 4.6 performance

@EpochAIResearch's line chart drew 5.9K views on X: 1.1x @epochairesearch's median post and #913 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.

AI improves software reimplementation with more inference tokens

XData Line chart Claude Opus 4.6 All Anthropic modelsOpus 4.6

@EpochAIResearch: MirrorCodeCode benchmark: Opus 4.6 performance — Published by @EpochAIResearch on X, Apr 10, 2026. Source: x.com

41/ 100

ViralChart score

Small but loved

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

#745 of 1,162 AI chart posts we hold · #26 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

The post sits in the Small but loved quadrant and ranks #745 of 1,162 AI chart posts by score.

Its 1.65% engagement rate sits at the 95th percentile among AI chart posts, against a 0.73% median.

It ranked #2 of 2 posts from this account that day, with 5.9K views.

Line charts show a 0.08x ratio to the 73.7K median views for this type.

0.1xthe median line chart post

Across 68 line chart posts we hold, the median gets 73.7K views.

top 5%engagement rate

1.65% of viewers liked, reposted, quoted or replied. The median post gets 0.73%.

2posts from @epochairesearch that day

Part of a run of 2 posts on Apr 10, 2026. This one was #2 of 2 by views that day.

top 46%save rate

0.084% 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 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 #745 of 1,162

Views	5.9K	#913	bottom 21%
Likes	91	#773	bottom 34%
Engagement rate	1.65%	#64	top 5%
Save rate	0.084%	#534	top 46%

Among 59 @epochairesearch posts

Score #26 of 59

Views	5.9K	#26	top 43%
Likes	91	#24	top 40%
Engagement rate	1.65%	#21	top 35%
Save rate	0.084%	#44	bottom 26%

Growth

One read so far

Views5.9K

Age at our read185 days

Views per day of life32views 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 10, 2026

@EpochAIResearch charts Opus 4.6 on MirrorCodeCode benchmark

A line chart on AI software reimplementation drew 5.9K views and a 1.65% engagement rate, landing in the Small but loved quadrant.

What happened

@EpochAIResearch posted a line chart on April 10, 2026, about Opus 4.6 performance on the MirrorCodeCode benchmark. It came with 1 other post from this account that day, on AI performance on the MirrorCode benchmark.

The numbers

It reached 5.9K views, ranking #913 of 1,162 AI chart posts by views. Its score rank is #745 of 1,162 AI chart posts.

The lesson

A line chart with 1 model drew 5.9K views against a 73.7K median for line charts, yet its 1.65% engagement rate beat the 0.66% median for the type. The form travelled below the type's median views while engagement ran above it.

What it means

This post ranks #26 of 59 @EpochAIResearch posts by score, with 5.9K views against the 39.9K median among AI chart posts. The 1.65% engagement rate is above this account's own 1.37% median.

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

105 points read off this chart

Estimated from the image 30%

Group	Value	Read
Opus 4.6	0 %	estimated
Opus 4.6	3 %	estimated
Opus 4.6	4 %	estimated
Opus 4.6	4 %	estimated
Opus 4.6	3 %	estimated
Opus 4.6	5 %	estimated
Opus 4.6	7 %	estimated
Opus 4.6	8 %	estimated
Opus 4.6	8 %	estimated
Opus 4.6	8 %	estimated
Opus 4.6	8 %	estimated
Opus 4.6	8 %	estimated

Showing 12 of 105. All points, the redraw and the maker

Max plan · API

GET https://viral-chart.com/api/posts/ba126ace0d56.json
GET https://viral-chart.com/api/charts/ba126ace0d56.json
GET https://viral-chart.com/api/charts/ba126ace0d56.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 ba126ace0d56.

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/ba126ace0d56`	Title, publisher, date, form, point count; with a Max key, the data link	Open
GET	`/api/v1/charts/ba126ace0d56/data`	Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV	Max
GET	`/api/v1/charts/ba126ace0d56/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/ba126ace0d56/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 Claude Opus 4.6

Claude Opus 4.6: Long context MRCR v2 retrieval

OfficialX · AnthropicMar 13, 2026

Long context MRCR v2 retrieval5.7M views · 24.6K likes

Data

Claude Opus 4.6: Claude model behavioral differences

OfficialX · AnthropicJul 13, 2026

Claude model behavioral differences68.2K views · 312 likes

Data

OfficialBlog · AnthropicApr 16, 2026

Knowledge GDPval-AA

OfficialBlog · AnthropicApr 16, 2026

Document OfficeQA Pro reasoning

OfficialBlog · AnthropicApr 16, 2026

Visual ScreenSpot-Pro Navigation Accuracy

OfficialBlog · AnthropicApr 16, 2026

Long-context GraphWalks reasoning

More from Anthropic

Anthropic stacked bar chart: Firefox Security Vulnerabilities

4.7x

Anthropic·Mar 2026

Firefox Security Vulnerabilities

3.2M views14.8K likes0.5% eng.

Data

Anthropic line chart: US GDP AI scenarios

0.4x

Anthropic·Sep 2026

US GDP AI scenarios

856.3K views1.2K likes0.2% eng.

Data

Anthropic bar chart: RL reward hacking risks

1.0x

Anthropic·Sep 2026

RL reward hacking risks

806.5K views3.2K likes0.5% eng.

Data

Claude Opus 4: Opus 4.8 benchmark comparison

OfficialX · AnthropicMay 28, 2026

Opus 4.8 benchmark comparison15.5M views · 66.3K likes

Data

Claude Mythos: Opus 4.7 Benchmark Comparison

OfficialX · AnthropicApr 16, 2026

Opus 4.7 Benchmark Comparison14.1M views · 79.6K likes

Data

Claude agents and computer use: AI Model Benchmark Comparison

OfficialX · AnthropicNov 24, 2025

AI Model Benchmark Comparison7.8M views · 18.8K likes

Data

Claude Fable 5: Claude Mythos 5 and Fable 5 Benchmark Comparison

OfficialX · AnthropicJun 9, 2026

Claude Mythos 5 and Fable 5 Benchmark Comparison6.3M views · 15.4K likes

Data

Claude Fable 5: AI Model Benchmark Comparison

OfficialX · AnthropicJul 24, 2026

AI Model Benchmark Comparison5.8M views · 10.7K likes

Data

OfficialX · AnthropicMay 22, 2025

Claude 4 benchmarks4.3M views · 20.5K likes

Data

Questions people ask

Where does this chart come from?

@EpochAIResearch published it on Apr 10, 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.