Anthropic Deep reasoning & code
Claude Opus 5.5
Give long-running work the context and review discipline it needs.
Claude Opus 5.5 is an Anthropic route for long-running agentic coding and knowledge work. TokenHot lists text and image input, a 1M context value, adaptive reasoning and tool use. Use it for cross-file refactors, codebase audits and complex multi-step work where depth is more valuable than the lowest latency or cost.
- Deep reasoning
- 1M context
- Text + image input
The route does not provide a hosted development environment. Adaptive thinking and tool use still require an application that sets budgets, authorizes actions and verifies every artifact.
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USD /1M tokens
Pricing
| Group | Input | Output | Cache Read | Cache Write |
|---|---|---|---|---|
| default | $4 | $20 | $0.2 | $8 |
| claude-0.34 | $1.36 | $6.8 | $0.068 | $2.72 |
Public list prices are shown in USD. Final charges may vary by account group and usage tier.
Overview
What is Claude Opus 5.5?
Long tasks become easier to review when the model has the issue, code, tests and constraints in one named context. Use checkpoints so a long conversation does not hide a bad assumption.
Keep Opus 5.5 for work where the cost of a missed dependency or repeated repair is high. Compare against a faster Claude route on a fixed fixture set before setting a universal default.
Change across boundaries
State invariants and tests before asking for a cross-file change. Require a diff summary and a rollback path.
Trace findings to code
Ask for file and symbol references, severity and a concrete reproducer. Separate static observations from executed checks.
Preserve the source trail
Give documents names and dates. Require conflicts and missing evidence to stay visible in the final memo.
From brief to deliverable
Put Claude Opus 5.5 to work
Senior engineering teams
Plan a cross-file refactor
Use the issue, dependency map and tests to prepare a staged refactor with checkpoints at each public boundary.
- Tools you need
- Repository tools and a CI or local test runner for execution.
- Keep in mind
- Long-context reasoning still needs incremental tests and human review before merge.
View a task brief
Use the supplied a repository map, target behavior, affected interfaces and test commands. to plan plan a cross-file refactor. Return a staged diff plan with compatibility checks., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Security and reliability teams
Audit a codebase for a risky pattern
Ask for a prioritized audit with locations, impact, a safe reproduction and suggested remediation.
- Tools you need
- Repository search, static analysis and a human reviewer.
- Keep in mind
- Static analysis cannot establish runtime exploitability or production impact without additional evidence.
View a task brief
Use the supplied search rules, repository files, severity criteria and known exceptions. to plan audit a codebase for a risky pattern. Return a source-linked findings report and remediation plan., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Research and leadership teams
Draft a decision memo from long research
Reconcile several dated documents and make the recommendation boundary explicit. Keep source claims separate from the proposed decision.
- Tools you need
- Document access and a reviewer for consequential choices.
- Keep in mind
- A polished memo cannot make an unsupported source current or authoritative.
View a task brief
Use the supplied named documents, decision criteria, dates and a required memo structure. to plan draft a decision memo from long research. Return a traceable memo with conflicts and open questions., state the limits of the evidence and identify the checks required before accepting the result. Do not claim that an output or interaction was verified without direct evidence.
Capabilities in context
Key features
| Feature | What you get | Why it matters |
|---|---|---|
| Context capacity | 1M tokens shown in the catalog | Keep a long code or document task coherent, while still checkpointing decisions and tests. |
| Modalities | Text and image input; text output | Use screenshots or diagrams as context; use a separate generation route for media output. |
| Adaptive reasoning | Reasoning is listed by the catalog | Set application budgets and observe latency. Validate the result instead of assuming more thinking solves missing evidence. |
| Tool use | Tool use is listed by the catalog | Expose only the functions the workflow needs and record each call and result. |
| Model identity | TokenHot model ID: claude-opus-5-5 | Pin the route and provider protocol in your integration logs. |
The page uses TokenHot catalog capabilities and route metadata. Tool execution, reasoning budgets and effective limits remain endpoint-specific integration concerns.
Audience & fit
Where Claude Opus 5.5 fits
Teams maintaining complex repositories
Use Opus 5.5 for cross-file reasoning, audits and refactors where a missed dependency costs more than a slower pass.
Reliability and security teams
Ask for source-linked findings and reproducible checks, then validate runtime impact with the right tools.
Leaders reviewing long evidence packs
Keep dates, conflicts and recommendation boundaries visible so a fluent memo remains accountable.
Cost context
Plan the cost of a useful result
Budget long runs
Large contexts, adaptive reasoning and tool loops can compound cost. Monitor the complete run and set stop conditions.
Separate analysis from execution
A long plan is not a successful deployment. Price the validation, tests, review and any required repair.
Use the public group shown
The full pricing table separates account groups and conditions. Choose the rate that matches the account making the request.
Use the current pricing table for available rates and account groups. Model IDs and prices come from TokenHot’s catalog; provider pricing and subscriptions are separate.
API
Code examples
curl --location --request POST 'https://api.tokenhot.ai/v1/messages' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "claude-opus-5-5",
"messages": [
{
"role": "user",
"content": "What can you do?"
}
],
"max_tokens": 100
}'FAQ
Frequently asked questions
What is Claude Opus 5.5 best suited for?
Claude Opus 5.5 is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.
How is Claude Opus 5.5 priced?
Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.
How can I call Claude Opus 5.5?
Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.
Does Opus 5.5 include a coding agent?
No hosted agent environment is implied. Provide repository access, tools and permissions through your own application.
When should I choose Opus over a faster model?
Use a representative fixture set. Choose Opus when deeper reasoning and fewer repairs outweigh its latency and cost.
Can image input produce image output?
Image input supports analysis on this text-output route. Use an image-generation model for generated artwork.
How do I keep a long task safe?
Add checkpoints, explicit tools, stop conditions and tests. Require artifacts and command output instead of relying on confidence.
Get started
Build with Claude Opus 5.5
API