Claude Opus 5.5 review

Anthropic's top model, cheaper and faster than Opus 5.

Out nowAnthropicAI modelUpdated Oct 26, 2026
Try Claude Opus 5.5Open in Claude · official source, claude.ai
Released22 Sep 2026
Price (API)$4 in / $20 out
Best forHard coding, agents
First lookOur take, based on published facts and early independent tests

Anthropic's most capable model, now cheaper and faster than Opus 5. It leads published tests for coding agents, computer use and office work, and has the highest independent overall score of any model on this site. It is still one of the pricier options per token.

What is Claude Opus 5.5?

Claude Opus 5.5 is Anthropic's flagship model, released on 22 September 2026 as the first model of the Claude 5.5 family. It replaces Claude Opus 5 and is built for hard reasoning, coding on large codebases and long tasks that take many steps.

Key features

  • Top published score for coding agents on Terminal-Bench 4.0: 66.4%
  • Very good at using a computer: 81.8% on OSWorld 2.0
  • Reads 1 million tokens at once and writes up to 128,000
  • Always thinks before answering, with an effort setting to trade depth for speed and cost
  • 20% cheaper per token than Opus 5, with output more than 30% faster

Specs and price

Made byAnthropic
Released22 Sep 2026
API price$4 per 1M input tokens, $20 per 1M output tokens
Batch price$2 in / $10 out
Fast mode$8 in / $40 out
How much it can read1,000,000 tokens
Longest answer128,000 tokens (300,000 in the Batch API)
Knows events up toJune 2026
WhereClaude apps, Claude Code, Claude API, Amazon Bedrock, Google Vertex AI, Microsoft Foundry
Free to downloadNo
Name in the APIclaude-opus-5-5

Test scores

TestScorePublished by
Terminal-Bench 4.0Coding agents working in a terminal66.4% (GPT-6 Astra: 57.9%)Anthropic
OSWorld 2.0Using a computer like a person81.8%Anthropic
GDPval-AA v2.1Real office work (rating)1846 (Claude Fable 5.1: 1735)Anthropic
Humanity's Last ExamVery hard expert questions, with tools67.7%Anthropic
AutomationBenchAutomating business workflows40.0% (GPT-6 Astra leads: 41.4%)Anthropic
Artificial Analysis indexOverall score across many tests58Independent

Scores published by Anthropic are the maker's own numbers. We will add our own results in the hands-on review.

How to use Claude Opus 5.5

  1. Easiest: open claude.ai or the Claude app and choose Opus 5.5 in the model picker. Check Anthropic's plans page for which plans include it.
  2. In Claude Code, switch to Opus 5.5 with the model picker.
  3. For developers: call claude-opus-5-5 in the Claude API, or use it through Amazon Bedrock, Google Vertex AI or Microsoft Foundry.

Who it is for

Good fit

  • Developers working on large codebases or long agent tasks
  • Analysts doing finance or science work with charts and documents
  • Teams that want the strongest results and can pay for them

Skip it if

  • Simple, high-volume jobs: Claude Haiku 5.5 costs 40 times less per input token
  • Apps that turn thinking off or force a specific tool: those settings now return errors

Pros and cons

Pros

  • Highest independent overall score of the models we cover (58)
  • Leads published coding-agent and office-work tests
  • Cheaper and faster than Opus 5
  • Available on every major cloud

Cons

  • $4 / $20 is double GPT-6.1 Sol and Gemini 4 Argon's launch price
  • Some breaking changes for developers coming from Opus 5
  • Anthropic's "about 40% cheaper on typical work" held only on some tasks in an independent test
  • GPT-6 Astra still leads on AutomationBench and Terminal-Bench Science

How it compares

Opus 5.5 scores 58 on the independent Artificial Analysis index, ahead of Gemini 4 Argon (about 53) and GPT-6.1 Sol, but costs twice as much per token as both. Inside Anthropic's own lineup it beats the pricier Claude Fable 5.1 ($10 / $50) on every test Anthropic compared them on.

Hands-on review In testing

We are running Claude Opus 5.5 on real tasks. Results will be added to this page, at the same address.

Real tasksCoding, writing, research, agents
SpeedHow fast it answers in practice
Cost per taskWhat a typical job costs
VerdictWho should switch, who should wait

Related models