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Model details

Claude Opus 5 (JP)

Claude Opus the listed price (JP) is a region-specific inference profile of Anthropic's flagship Opus the listed price family routed through Amazon Bedrock's Japan endpoint, designed to give organizations in that region a compliant deployment path for the same model that launched day-zero on Anthropic, Google Vertex AI, and Azure AI Foundry. It accepts text, image, and PDF inputs and produces text outputs, with an extended context window suited to long-running agent sessions, document analysis, and multi-turn tool use. The profile exposes reasoning controls including an xhigh effort level and adaptive thinking, alongside computer use and prompt caching capabilities, positioning it as a general-purpose reasoning model rather than a narrow task specialist.

In practical terms, the JP profile behaves identically to other regional profiles, so teams can standardize prompts, evaluation harnesses, and tool integrations across geographies while satisfying data-residency preferences. The large context budget combined with prompt caching makes it a natural fit for workflows that reuse substantial instructions, system prompts, or reference documents across many requests, such as coding assistants, research copilots, and enterprise search. The cost map charges per the cataloged API limit with separate rates for cache reads and writes, so warm-cache reuse meaningfully lowers spend for repeated agent patterns, while the high output ceiling supports detailed generation, structured outputs, and extended chain-of-thought responses.

Amazon Bedrockjp.anthropic.claude-opus-5claude-opus

Quick Info

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Provider
Amazon Bedrock
Model key
jp.anthropic.claude-opus-5
Release date
Jul 24, 2026
Last updated
Jul 24, 2026
Knowledge cutoff
2026-05
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.50
Output token cost
$27.50

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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