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Claude Sonnet 4.5

Anthropic

At a glance

Price per 1M tokens (input)
$3.00
Price per 1M tokens (output)
$15.00
Context
200,000 tokens
Free access
yes (see below)

Refreshed daily; data verified August 15, 2026. Published August 12, 2026.

Claude Sonnet 4.5 is aimed at enterprises that need reliable reasoning across text and images while integrating external services. It works well for tasks such as analyzing visual documents, generating detailed reports, and automating workflows that require step‑by‑step logic. The model’s strength lies in Anthropic’s safety‑first training and its unified approach to language, vision, and tool calling, allowing developers to invoke functions directly from the model’s output. It is especially useful when a project calls for transparent decision paths and the ability to fetch up‑to‑date data through APIs.

Specifications & pricing

Input (per 1M tokens)$3.00
Output (per 1M tokens)$15.00
Cache read (per 1M tokens)$0.30
Cache write (per 1M tokens)$3.75
Context window200,000 tokens
Max output64,000 tokens
Capabilitiesimages, tool calling, reasoning

LiteLLM community dataset (MIT), verified August 15, 2026. Official Anthropic pricing.

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Frequently asked questions

What types of business problems benefit most from Claude Sonnet 4.5?+

The model shines on problems that combine visual information with logical processing, such as reviewing scanned contracts, extracting data from charts, creating summaries that reference images, and orchestrating actions through API calls based on the content it reads.

How can a development team start using Claude Sonnet 4.5 in an existing application?+

Teams can access the model through Anthropic’s standard API endpoint, sending a prompt that may include text and optional image data. When tool calling is needed, the request includes a description of the functions the model is allowed to invoke, and the API returns a structured call that the application can execute.

In what ways does Claude Sonnet 4.5 differ from earlier Claude Sonnet releases?+

Compared with prior releases, this version adds native image comprehension, offers more consistent step‑by‑step reasoning, and provides a tighter integration for tool calling that reduces the need for manual parsing of model output.

What limitations should users keep in mind when deploying Claude Sonnet 4.5?+

While the model is robust, it can still produce inaccurate details if the source material is ambiguous, it only supports common image formats, and tool calling requires explicit function definitions; unexpected calls are filtered out for safety.

Comparisons

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