Claude Opus 4.7
Most capable Claude model — step-change improvement in agentic coding
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Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
Similar models from Anthropic
Compared at your current token settings
About Claude Opus 4.7
Claude Opus 4.7 is a premium large language model from anthropic, priced at $5/1M input tokens and $25/1M output tokens. It is priced above the market average and best suited for agentic workflows. The 1M context window makes it suitable for very long documents, large codebases, and book-length inputs.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, Claude Opus 4.7 is positioned for use cases where quality justifies the premium over cheaper alternatives.
Claude Opus 4.7 supports prompt caching at $0.5/1M — a 90% discount on repeated input tokens. For applications with a fixed system prompt or repeated document context (RAG, chatbots, agents), enabling caching is the single highest-leverage cost optimization available.