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Model details
Claude Opus 5 (EU)
Claude Opus 5 is Anthropic's most capable Opus-family release, sitting just beneath the top-of-range Claude Fable 5 in the lineup while delivering intelligence that partners and early users describe as close to Fable-tier quality. Within the family hierarchy, Haiku serves as the small fast option, Sonnet as the mid-range workhorse, Opus as the everyday flagship, and Fable as the premium top tier, with Opus 5 positioned as the model most working developers will reach for day to day. The launch emphasizes stronger verification and iteration behavior, which translates into more reliable self-checking on multi-step agentic coding tasks and less variance across runs according to engineering teams running production coding agents in Cursor, Devin, and Lovable.
On Amazon Bedrock, Claude Opus 5 is exposed through standard Bedrock inference patterns including Invoke and Converse, with built-in support for Guardrails, Knowledge Bases, IAM-based governance, zero data retention by default, and prompt caching to help control token spend on long agentic workflows. Anthropic has also kept Opus 5 pricing flat versus its predecessor, marketing Fable-level capability at roughly half the cost, and made Opus 5 the default model across Anthropic's top subscription plan and Claude Code. Two smaller launch additions reinforce that positioning: a fast mode that trades higher price for noticeably quicker answers, and a new fallback system that can route a request to a different model rather than refusing outright, which matters more in daily production use than headline benchmarks.
Quick Info
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- Amazon Bedrock
- Model key
- eu.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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