Claude Opus 5.5: Complete Guide, Pricing, Benchmarks and Use Cases

An independent guide to Claude Opus 5.5, including verified specifications, pricing, benchmark context, migration changes, limitations and use cases.

Follow in Google Search

What is Claude Opus 5.5?

Claude Opus 5.5 is Anthropic’s proprietary model for long-running agentic coding, computer use and knowledge work. Released September 22, 2026, it pairs a one-million-token context window with adaptive thinking, a 128,000-token maximum synchronous output and lower prices than Claude Opus 5.

Claude Opus 5.5 uses adaptive thinking with medium effort as the Claude API default. Higher effort can improve difficult work but also changes latency and cost, so teams should test the exact setting they intend to deploy.

QUICK VERDICT: Claude Opus 5.5 is a strong choice for demanding coding and professional workflows when Fable 5.1 is more capability or cost than the task needs. Its lower token price and improved efficiency are meaningful, but migrations must account for always-on thinking and changed tool-use behavior.

Field

Verified value

Provider

Anthropic

Release date

September 22, 2026

Availability

Active on the Claude API and supported cloud platforms

License

Proprietary

Model ID

claude-opus-5-5

Context window

1 million tokens

Maximum output

128,000 tokens synchronously; 300,000 in Message Batches beta

Modalities

Text and image input; text output

Base API pricing

$4 input and $20 output per million tokens

Best fit

Long-running agentic coding, computer use and knowledge work

Last verified

September 24, 2026

What changed from Claude Opus 5

The most important changes are efficiency, communication and application behavior. Anthropic says typical workloads cost about 40% less to run than Opus 5 because Opus 5.5 combines lower token prices with lower token use. The company also reports output more than 30% faster at default settings.

Area

Claude Opus 5.5 change

Price

$4 input and $20 output per million tokens, down from $5 and $25 for Opus 5

Cache reads

$0.20 per million tokens, down from $0.50

Reasoning

Adaptive thinking is always on; effort controls depth and defaults to medium

Tool use

Forced tool use is not supported and returns an error

Computer use

The older computer_20251124 tool version is not accepted on the Claude API or Google Cloud

Communication

Anthropic reports clearer, more direct writing than Opus 5

Speed option

Fast mode offers up to 2.5 times the speed at $8 input and $40 output per million tokens

These are not drop-in details. Applications that disable thinking, force a particular tool, reuse thinking blocks across models or stream text between tool calls may need code changes. Run the provider migration guide against the actual integration before changing a production model ID.

Claude Opus 5.5 capabilities

Anthropic positions Opus 5.5 for long and complex jobs rather than quick commodity generation. Its clearest strengths are codebase-wide migrations, audits, multi-step terminal work, computer use, research and professional analysis. The million-token window can hold large repositories or document sets, but context capacity is not proof that the model will retrieve every relevant detail reliably.

Capability

Practical implication

Agentic coding

Useful for migrations, audits and multi-step repository work with tests and approval gates

Knowledge work

Designed for research, financial analysis, reports and other multi-source professional tasks

Computer use

Can operate interfaces through supported tools, but needs narrow permissions and recoverable actions

Long context

Supports up to 1 million tokens; test recall and instruction retention at realistic lengths

Adaptive thinking

The model chooses how much internal work to do within the configured effort level

Large output

Supports 128K synchronous output and a 300K Message Batches beta for selected workloads

A production agent is more than its base model. Prompts, retrieval, tools, permissions, memory, retries and verification determine whether the system succeeds. Evaluate the complete workflow, including recovery after a failed tool call and the amount of human review needed before accepting the result.

Benchmarks and evidence

Anthropic reports results in agentic coding, computer use and knowledge work, including 66.4% on Terminal-Bench 4.0 at xhigh effort, 81.8% partial on OSWorld 2.0 and 1846 Elo on GDPval-AA v2.1 at max effort. These are provider-reported evaluations with their own configurations and should be validated independently.

Pricing and access

Claude Opus 5.5 is available through the Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry and Claude Platform on AWS. Anthropic also makes the model available in its first-party Claude products, with access and usage limits depending on the plan.

Usage

Price per million tokens

Input

$4

Output

$20

Five-minute cache write

$5

One-hour cache write

$8

Cache read

$0.20

Batch API

50% discount on input and output

Fast mode

$8 input and $40 output

Token rates are only the starting point. Measure total accepted-task cost, including reasoning effort, cache behavior, long prompts, tool calls, retries, latency and human correction. A model with a higher list price can still be cheaper if it finishes in fewer steps, while an expensive reasoning setting can be wasteful on straightforward work.

Limitations and migration risks

  • Adaptive thinking cannot be disabled, which changes latency and response structure compared with some earlier Claude integrations.
  • Forced tool choice is not supported. Workflows that require one exact tool call must be redesigned and tested.
  • Thinking blocks are tied to the model and conversation that produced them and should not be moved across models.
  • Long-context capacity does not guarantee perfect recall, prioritization or citation accuracy across a million tokens.
  • The strongest benchmark results often use high or maximum effort, which can differ from the API default in cost and speed.
  • Computer use and long-running agents can make consequential mistakes, follow prompt injections or act outside an intended boundary.
  • Vendor benchmarks and early-customer reports are useful evidence, but they are not a substitute for an independent test on your tasks.

High-stakes legal, financial, medical, security and scientific work needs qualified review. Restrict tools to the minimum required scope, require approval before irreversible actions, log the exact model and prompt version, and keep a rollback path.

How to evaluate Claude Opus 5.5

Build a frozen evaluation set from 20 to 50 real tasks. Include normal cases, edge cases, adversarial inputs and long-running work. Compare Opus 5.5 with Opus 5 and at least one neighboring model using equivalent tools, source material and acceptance criteria. Test both the default medium effort and the higher setting you would actually deploy.

Test area

Record

Task completion

Pass or fail plus a written quality rubric

Reliability

Repeated-run success rate and variance

Tool use

Wrong calls, retries, recovery and permission-boundary failures

Quality

Factuality, instruction adherence, citations and deliverable usefulness

Efficiency

Wall time, input, output, cached tokens, tools and review time

Migration

Code changes, silent output differences and regression failures

Safety

Prompt-injection response, sensitive-data handling and irreversible actions

Choose the least expensive configuration that clears the acceptance threshold with a safety margin. Re-run the suite whenever the model, system prompt, retrieval layer, tool definitions or approval policy changes.

Frequently asked questions

Is Claude Opus 5.5 the best AI model?

No model is best for every workload. Claude Opus 5.5 is worth testing for demanding agentic and professional work, but the right choice depends on the task, effort setting, cost, latency, modalities, deployment constraints and agent harness.

Is Claude Opus 5.5 open source?

No. Claude Opus 5.5 is proprietary and available through Anthropic and supported cloud platforms.

How much does Claude Opus 5.5 cost?

Base Claude API pricing is $4 per million input tokens and $20 per million output tokens. Cache reads cost $0.20 per million tokens, and Batch API input and output receive a 50% discount. Fast mode is priced separately.

What is Claude Opus 5.5 best used for?

Its strongest documented fit is long-running agentic coding, computer use and knowledge work. Start with a supervised pilot and compare total cost per accepted result, not just token prices.

Should I migrate from Claude Opus 5?

Only after testing the integration changes. Opus 5.5 costs less and Anthropic reports better speed and capability, but always-on thinking, tool-choice restrictions and response-shape differences can break assumptions in an existing application.

Related model guides

Compare with the Claude Opus 5 guide.

Compare with the Claude Fable 5.1 guide.

Browse the Best AI Models directory.

Official sources and update policy

Anthropic’s Claude Opus 5.5 announcement.

Claude Opus 5.5 model documentation.

Claude Opus 5.5 system card.

Checked September 24, 2026. We update this guide when Anthropic changes the model specification, pricing, access, safety documentation or publishes material benchmark and deployment updates. Vendor benchmarks are attributed and are not presented as independent testing. No vendor payment or affiliate relationship determined inclusion.

Author

Dr. Rajesh Patel

PhD in Electrical Engineering and Computer Science, MIT (2016); Postdoctoral research, UC Berkeley BAIR. Research on efficient training algorithms, multimodal architectures, and model robustness.