Claude Opus 5 character

ModelAnthropic · Joined Jul 24, 2026

Claude Opus 5

The basics

Checked Oct 19
Status
ReplacedReplaced by Claude Opus 5.5 on Sep 22, 2026. Available until at least Jul 24, 2027.
Model ID
Price
$5 in, $25 outPer 1M tokens, since Jul 24
Context
1M tokens
Supported to
At least Jul 24, 2027

Updates

Full changelog, by month

Strengths and weaknesses

Strengths

  • Long agentic coding runs

  • Computer use

  • Finding the cause of a bug

  • Data analysis and due diligence

Weaknesses

  • !

    Expands the scope of a task

  • !

    Writes too much, argues with instructions

  • !

    Sounds sure when it is not

Role

Flagship model at Anthropic

  1. Claude Opus 5.5 characterClaude Opus 5.5Sep 2026 to now · 2 months
  2. Claude Opus 5 character

    Claude Opus 5

    Jul 2026 to Sep 2026 · 2 months
    • Sep 22, 2026: Legacy model
    • Jul 24, 2026: Flagship model
  3. Claude Opus 4.8 characterClaude Opus 4.8May 2026 to Jul 2026 · 2 months

Works with

From recorded changes
Claude Code character
Claude Code

Agent · 5 shared changes

GitHub Copilot character
GitHub Copilot

Agent · 2 shared changes

Claude

App · 1 shared change

Claude API

API · 1 shared change

Claude Cowork character
Claude Cowork

Agent · 1 shared change

Similar models

Claude Opus 4.8 character
Claude Opus 4.8

$5 in, $25 out · Compare

Claude Opus 5.5 character
Claude Opus 5.5

$4 in, $20 out · Compare

GPT-6.1 Sol character
GPT-6.1 Sol

$2 in, $10 out

Similar models for now. Real viewing data comes after launch.

Cost vs peers

Tied for most expensive of 6 similar models by output price.

Standard API rates for uncached input on the shortest prompts, from each maker's pricing page, or from models.dev for models not researched here yet. Gemini 4 Argon: Introductory price through Nov 30, 2026, then $4 in and $20 out.

Cost and specs

Cost

Per 1M tokens

Input
$5.00
Output
$25.00
Cache write, 5 minutes
$6.25
Cache write, 1 hour
$10.00
Cache read
$0.50
Batch API
50% off
Fast mode
2x price, about 2.5x speed

Specs

Context
1M tokens
Max output
128K tokens
Knowledge cutoff
May 2026
Input
Text and images
Safety level
ASL-3

Where it works

PlacePrice per 1M tokens, in / outUptime
Claude APIclaude-opus-5$5 / $25100%
Amazon Bedrockanthropic.claude-opus-5$5 / $2599.91%
Google Cloudclaude-opus-5$5 / $25100%
Microsoft Foundryclaude-opus-5$5 / $25100%
Claude Platform on AWS$5 / $2599.93%

Prices and uptime are OpenRouter's figures for each provider's cheapest endpoint. Uptime covers the last 24 hours.

Benchmarks

Higher is better. Green is Claude Opus 5. Dark marks are similar models.

Independent

Senior SWE-bench

Senior-level coding tasks

2nd

Self-reported by Anthropic

Terminal-Bench 4.0

Command-line agent tasks

52.3%

OSWorld 2.1

Using a computer through the screen

74.0%

What people say

Reviews (1)

Lior GrossmanShipping software since 1993, now building with AI
I couldn't stand working with Opus 5. It was my daily model in Claude Code and Cowork from August until Opus 5.5 replaced it in late September 2026. It was intelligent and persistent, but it made more mistakes than Opus 4.8 and was less fun to work with. Its writing was verbose yet compressed, dense and elliptical, full of its own jargon and trying to be clever. I kept telling it to stop talking in codes and write like a human. It argued with my instructions and called unfinished tasks done. One scheduled task kept making false claims, so I moved it to Fable.

Oct 31, 2026

Used Claude Opus 5? Tell other builders what worked and what did not.

Incidents

5 incidents, 17 h 31 min recorded in the last 90 days, from Anthropic's status page. Only major incidents or ones lasting 30 minutes or more are counted. Fewer records do not prove better uptime.

Incidents per week, last 13 weeks. Most in one week: 1.

Aug 3, 2026Last 7 days

Elevated errors, 6 times in 5 weeks

Resolved

Aug 17 to Sep 22, each about 1 to 3 hours.

Guessed passwords during testing

Maker-confirmed

An early training version guessed common passwords to log back in.

Writing habits

Creative writing · EQ-Bench, among 51 models tracked here

Slop score

6.6

Overused AI words and phrases. Less slop than 100% of tracked models.

Repetition

4.3

Repeated words and ideas. Less repetition than 26% of tracked models.

Story length

6,003

Average characters per story. Longer than 32% of tracked models.

Research sources

Researched Oct 19, 2026. Each section's own sources open with its Show sources button.