Claude Opus 4.7 (April 2026) pricing: $5 per million input tokens, $25 per million output tokens—consistent across Claude Platform, Bedrock, Vertex AI, and Foundry.
Cost analysis for Milvus workflows:
Typical usage patterns:
- Embedding generation: primarily input tokens (documents → vectors)
- Query reasoning: mix of input (queries) and output (responses)
- Agentic indexing: higher output costs due to multi-step reasoning
Cost optimization strategies:
- Task budgets – Set maximum spend per agentic job, forcing efficiency
- Batch processing – Lower average cost-per-document for large indexing runs
- Caching – Reuse embeddings for similar documents
- Smart queries – Reduce output verbosity through prompt engineering
ROI consideration: While Opus 4.7 costs more per token than smaller models, autonomous Milvus workflows complete faster and require fewer human iterations, often resulting in lower total cost-per-outcome.
Example: Indexing 50K documents. Opus 4.7 with task budgets completes autonomously; a cheaper model requires 5 human supervision cycles. Opus 4.7 is cost-effective despite higher token prices.
For self-hosted Milvus, budget your Claude Opus 4.7 spend by estimating tokens per indexing task, then use task budgets to enforce cost discipline.
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