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Anthropic / Cloud API models

Claude Sonnet 5.5

General coding and knowledge work through the Claude API, with documented text/image input and text output.

cloudSources checked 2026-10-27
Official product or project
Anthropic

What Claude Sonnet 5.5 is

Claude Sonnet 5.5 is a cloud API model for general coding and knowledge work, including structured extraction. It accepts text and image inputs and returns text. It can be used through an application or an eligible Claude surface, but the surrounding product determines the available tools and file workflows.

It is an editorial starting point for a range of ordinary work, not a measured winner in this directory. A model that interprets a quote or drafts a change should still be paired with deterministic checks where possible, such as spreadsheet formulas or a software acceptance test.

Read the official documentation

How it fits into a workflow

The supplier-comparison workshop illustrates this division of labor: the model interprets quote notes, while formulas calculate totals from preserved inputs. Changing one shipping amount tests whether the workbook really recalculates. The fixture is fictional and the recipe was not run end to end, so it is a useful evaluation design rather than a product success claim.

Examples described as illustrative or proposed trials are editorial suggestions. Documented real builds, when available, are linked separately below.

Requirements, cost and limitations

The documentation lists a 1M-token context and 128K ordinary output limit; tokens are units of text processing, not documents or pages. Migration details include model-specific thinking behavior and unsupported sampling parameters such as temperature. Check current model access and pricing before adapting an older integration.

Check current access and pricing

When to choose it and what to compare

Start with the task rather than an assumed family hierarchy. Haiku may be worth evaluating for short classification or extraction; Opus may be worth evaluating for more complex work. Compare correctness, revisions and total usage on the same examples instead of selecting solely by model size or name.

Technical details and documented capabilities

These details come from the linked sources, checked 2026-10-27. Open the current documentation before planning a deployment or migration.

Type
Cloud API models
Runs on / through
Claude API and documented partner platforms
Execution choices
cloud
License or access terms
Commercial cloud service terms
  • Documented 1M-token context and 128K ordinary output limit.
  • Model-specific behavior, migration notes and limits are documented.
Read the applicable terms
MODEL DECISION NOTES / CHECKED 2026-10-29

Access, running cost and practical requirements

Frontier hosted candidate — editorial selection. How we use this label.

Claude API and the documented cloud partner platforms; also a selectable Claude model where the plan allows. Exact plan-by-model entitlement matrix was not independently established.

Developer API prices

Billing route
Claude API base
Units
USD per one million tokens
Input
$2
Cached input
$0.1
Output
$10
5-minute cache write
$2.5
1-hour cache write
$4

Batch input/output discounted 50%; tool/platform charges separate.

API prices are not a chat subscription price. A token is a unit of processed text; images and other inputs have their own token accounting. Repeated history, reasoning output and tools can change the final bill. A subscription may offer separately claimed credits, subject to its terms.

Understand subscriptions, API billing and credits
API input, output and context specifications
API model ID
claude-sonnet-5-5
Input
text, image
Output
text
Published context ceiling
1,000,000
Default maximum output
128,000

Product interfaces and their defaults can differ from the API ceiling. A long context limit is not a guarantee that the model reliably uses every detail.

What the configuration changes

Provider positions it for everyday bounded work and faster iteration rather than sustained open-ended judgment.

API default effort high; documented app default medium, so defaults are not interchangeable.

Do not set thinking disabled: use between_tools to suppress upfront thinking. Forced tool use is also rejected.

Provider says Opus remains stronger for complex open-ended work despite some favorable Sonnet benchmark scores.

Benchmark evidence and what it means

These are selected source-reported observations, not a league table. Task, version, tool access, reasoning budget and test harness all affect a result. A historical score does not establish current leadership or accuracy on your own work.

FrontierCode 1.1 Main

Reported result
52.1 percent
Model / checkpoint
Claude Sonnet 5.5
Evidence
Anthropic — publisher-reported, not tested by PrisAIm
Date
Source publication: 2026-09-28
Conditions
xhigh effort. The same launch table reports 46.2% at max, illustrating that more effort is not guaranteed to improve a result. Harness details require linked system card.
How to read benchmarks and run a useful trial

Sources and evidence

Product facts are based on the following published sources, checked 2026-10-27. Workflow suggestions and comparisons are editorial interpretation; PrisAIm has not independently benchmarked this product.

Official model overview and specifications Official pricing
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