Claude Opus 4.7 is a hybrid reasoning model for coding agents, enterprise AI workflows, long-context analysis, and complex multi-step tasks.
Claude Opus 4.7 is a hybrid reasoning model for coding agents, enterprise AI workflows, long-context analysis, and complex multi-step tasks.
Claude Opus 4.7 is Anthropic's premium Opus model for AI agent builders, priced for API use at $15 per million input tokens and $75 per million output tokens, and built for difficult coding, long-context analysis, multimodal input, and complex multi-step workflow execution.
Anthropic announced Claude Opus 4.7 on April 16, 2026 and describes it as generally available, with improvements over Opus 4.6 for advanced software engineering, difficult coding tasks, long-running work, instruction following, verification, vision, professional documents, slides, and user-interface generation. The model is most relevant to teams building coding agents, code-review systems, document automation, research agents, and enterprise copilots that need stronger planning, instruction following, tool use, and long-context recall than cheaper general-purpose models provide.
The model's core cost profile is premium: Anthropic lists Opus-class Claude API pricing at $15 per million input tokens and $75 per million output tokens. Prompt caching and batch processing can reduce costs for eligible repeated-context or asynchronous workloads under Anthropic's published pricing rules, while Claude app subscriptions remain separate from direct API metering.
For product planning, Claude Opus 4.7 is best treated as an escalation model for difficult work rather than a default model for every request. It is a strong fit for large codebases, long documents, multi-document reasoning, technical review, and long-running agent workflows where quality improvements can justify higher token costs. It is less practical as the default for routine chat, short summarization, high-volume content generation, or simple extraction.
Teams adopting Claude Opus 4.7 should pair it with evaluations, routing, prompt caching, spending limits, and fallbacks so the premium model is used where it earns its cost. Anthropic's documentation and product pages are the source of truth for current model IDs, context limits, output limits, deployment channels, feature availability, and account eligibility.
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Claude Opus 4.7 is designed for long-context workflows where teams need to reason over large repositories, extensive documents, long chat histories, or multi-step agent state. Exact context and output limits should be verified in Anthropic's current model documentation before production planning.
Claude Opus 4.7 is positioned for complex coding, agentic workflows, and enterprise tasks that benefit from stronger planning and validation. Teams should test how its reasoning behavior performs on their own workloads rather than relying on benchmark claims alone.
Claude Opus 4.7 can be used for long responses, agent runs, and document-heavy generation within Anthropic's current model limits. Teams should test practical latency, cost, and platform-specific request behavior before relying on large outputs in production workflows.
Developers can use Claude Opus 4.7 through Anthropic-supported access paths where available. Exact model IDs, account entitlements, and deployment channels should be verified in Anthropic's current documentation for the target environment.
Although Claude Opus 4.7 is a premium model, Anthropic supports cost-control mechanisms such as prompt caching and batch processing for eligible workloads. These controls matter for agent builders because large prompts, repeated repository context, and asynchronous document jobs can otherwise become expensive quickly.
$0
$20/month or $200/year
$100/month for Max 5x or $200/month for Max 20x
$30/seat/month billed monthly or $25/seat/month billed annually; 5-seat minimum
$150/seat/month billed monthly or annually
Custom enterprise pricing
$15 per 1M input tokens and $75 per 1M output tokens
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Anthropic announced Claude Opus 4.7 on April 16, 2026 as generally available and positioned it as its latest Opus model, with stated improvements over Opus 4.6 in advanced software engineering, difficult long-running tasks, instruction following, verification, higher-resolution vision, professional documents, slides, and interface generation. Teams should verify current model IDs, context limits, output limits, deployment channels, and feature availability in Anthropic's official Claude model documentation before making production architecture or procurement decisions.
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