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    Claude Opus 4.5 · claude-opus-4-5-20251101

    Anthropic · 24 Nov 2025

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    Claude Opus 4.5 is an Anthropic model designed for software engineering, agentic workflows, and computer use, with published standard API pricing of $5 per million input tokens and $25 per million output tokens. Current availability, retirement status, and subsequent releases: Not yet confirmed by public reporting.

    context: 200Ktextimage$5.00 / $25 per 1M tokens (in / out)

    Benchmark results

    Every figure links to where it was published. Compare like with like — harnesses and prompt setups differ between vendors.

    BenchmarkScoreSource
    GPQA DiamondPhD-level science questions87%24 Nov 2025View
    SWE-bench VerifiedResolving real GitHub issues80.9%24 Nov 2025View
    Terminal-BenchLong-horizon command-line agent tasks59.3%24 Nov 2025View
    OTIS Mock AIME 2024-25Competition mathematics86.1%24 Nov 2025View
    FrontierMath20.7%25 Nov 2025View
    SimpleQA VerifiedShort factual questions (hallucination resistance)45.7%27 Aug 2026View
    LMArena TextHuman preference Elo from blind chat votes (not a percentage)1451 Elo22 Oct 2026View
    LMArena WebDevHuman preference Elo for building web apps (not a percentage)1470 Elo23 Oct 2026View

    Weighted mean of 6 verified benchmark results: GPQA Diamond 87%, SWE-bench Verified 80.9%, Terminal-Bench 59.3%, OTIS Mock AIME 2024-25 86.1%, FrontierMath 20.7%, SimpleQA Verified 45.7%.

    Capabilities

    • Repository-level software engineering, including debugging and code changes.
    • Multi-step agentic workflows involving tools and external applications.
    • Computer-use tasks through supported agent integrations.
    • Analysis and synthesis of documents within a 200K-token context window.
    • Configurable effort to balance response quality, latency, and token consumption.

    What improved

    • Anthropic reported stronger software-engineering performance than Claude Opus 4.1.
    • Maximum output increased from Opus 4.1's 32K tokens to 64K tokens.
    • Standard input pricing decreased from $15 to $5 per million tokens compared with Opus 4.1.
    • Standard output pricing decreased from $75 to $25 per million tokens compared with Opus 4.1.

    Known flaws & limitations

    • The 200K-token context window limits the material available in an individual request.
    • The 64K-token maximum output limits the length of an individual response.
    • Published benchmark results depend on evaluation settings and do not guarantee equivalent production performance.
    • Generated code and tool actions require validation; strong benchmark performance does not establish correctness or security.

    Risks, safety & security issues

    • Untrusted webpages, documents, and tool outputs can expose agents to prompt-injection attempts.
    • Broad tool permissions can amplify the consequences of incorrect or manipulated actions.
    • Software-engineering capabilities are dual-use and can support harmful development.
    • Sensitive information supplied to tool-enabled workflows can be exposed through inappropriate downstream actions.

    Good fit for

    • Supervised coding, debugging, and repository maintenance.
    • Multi-step research and document synthesis within the context limit.
    • Tool-assisted business workflows with scoped permissions and approval gates.
    • Complex technical tasks where output can be independently tested.

    Poor fit for

    • Unsupervised actions involving production credentials, irreversible changes, or financial transfers.
    • High-stakes decisions without qualified human review.
    • Workloads requiring more than 200K tokens in one request or more than 64K output tokens.
    • Security-critical code deployment without testing and review.

    Profile last reviewed 10/27/2026 and re-checked automatically every few hours against the vendor's published documentation, papers and public leaderboards. Scores come from the cited benchmark results above — confirm limits and pricing against the provider's own documentation before building on them.