CodePanel

Claude Opus 5.5

Claude Opus 5.5 specifications
MakerAnthropic
FamilyClaude Opus
Released2026-09-22
Context1M
Max output128K
Claude Opus 5.5 specifications
Open weightsClosed
Modalitiestext, image, pdf → text
Input / 1M$4.00
Output / 1M$20.00
Cached input / 1M$0.20
Claude Opus 5.5 specifications
Review call$0.1532
Reasoning effortslow, medium, high, xhigh, max
HostsAnthropic, OpenRouter
Model idclaude-opus-5-5
Rank
#1=
of 17
Bugs caught
90%
81%–97%
False alarms
1.7
per clean PR
Cost / review
$0.1525
Cost / bug
$0.1921
Time
33s
per review

Review

Pick Claude Opus 5.5 for the seat that guards risky changes: it caught 90% [81%–97%] of the known bugs and is measurably above 9 of the 17 ranked models on recall; 0 are measurably above it.

That lead is over the middle and bottom of the table, not over the rest of the top group. GPT-6.1 Sol and Opus can't be told apart on recall, and the head-to-head shows how differently they bill. A review on Opus cost $0.1525, 3.8× what a Sol review cost, and took 33s. Part of that gap is the list price ($4.00 / $20.00 per 1M tokens against Sol's $2.00 / $10.00), and Opus also wrote longer reviews.

It is not quiet. It raised more false alarms than Sol: 1.7 [1.1–2.3] per clean PR against 0.9 [0.4–1.5], and the intervals overlap, so treat the difference as a lean, not a ruling. When it does catch a defect, 89% of its catches land on the defect's own lines.

Two cautions:

  • One of the three judges is from Anthropic, so its vote is dropped for this model. The other two still score it.
  • Its misses include "perf(gitdiff): optimize inline diff highlighting using cache". Slices by bug kind or language are too small to say where it is strongest.

Use it as the high-recall seat on a panel and put a cheaper model first. See choosing a model for how to split seats.

Figures follow the latest benchmark run and price check. Text checked Nov 5, 2026.

Pricing

Claude Opus 5.5 price by host
HostModel idInput / 1MOutput / 1M
Anthropicclaude-opus-5-5$4.00$20.00

Source: Anthropic pricing, Oct 16, 2026

Benchmark

By kind of bug

Logic 14
90%

By language

Go 4
50%
Java 4
78%
Rust 4
100%
C# 3
100%
Kotlin 3
67%
PHP 3
100%
Python 3
100%
Ruby 3
89%
Swift 3
100%
C++ 2
100%
C 1
100%

Bug by bug

Known bugs
42
Caught every run
36
Caught sometimes
3
Missed
3
Clean PRs
15
False alarms on them
25
Known bugs this model missed, caught only sometimes or has not run
ResultPull requestLanguageKind
Caught sometimes2/3Reimplement Action Cable redis adapter with redis-clientrails/railsRubyLogic
Caught sometimes3/54.x: Enhance Streamable/Streamer and DisposableContainer APIsReactiveX/RxJavaJavaAPI misuse
Caught sometimes1/2Store cached child els in Attributes, not fieldjhy/jsoupJavaConcurrency
Missedfeat: middleware.ClientIP, a replacement for middleware.RealIPgo-chi/chiGoSecurity
Missedperf(gitdiff): optimize inline diff highlighting using cachego-gitea/giteaGoError handling
MissedFix DataClassEq comparatorkotest/kotestKotlinLogic

Other benchmarks

Claude Opus 5.5 on outside benchmarks
BenchmarkScoreRangeSettingSourceDate
Arena WebDev1807 Arena rating1793 to 1822MaxLMArena CC BY 4.0Oct 16, 2026
Arena Agent0.189 Arena score0.161 to 0.216MaxLMArena CC BY 4.0Oct 16, 2026
Epoch Capabilities Index167 ECI164 to 171–Epoch AI CC BY 4.0Sep 22, 2026
Claude Opus versions
VersionReleasedInput / 1MOutput / 1MContext
Claude Opus 52026-07-24$5.00$25.001M
Claude Opus 4.82026-05-28$5.00$25.001M
Claude Opus 4.72026-04-16$5.00$25.001M
Claude Opus 4.62026-02-05$5.00$25.001M

Similar models

Models priced like Claude Opus 5.5
ModelMakerInput / 1MOutput / 1MReview callContextBugs caught
GPT-5.6 SolOpenAI$4.00$20.00$0.15321.1M72%
GPT-5.5OpenAI$5.00$30.00$0.20351.1M–
GPT-6 AstraOpenAI$10.00$50.00$0.38291.1M–

Updated Nov 5, 2026