OpenAIAnthropicGooglexAIPerplexity
← Back to all updatesPublished ·Anthropic• Minor
Anthropic optimized prompt caching support in the Message Batches API to improve cache hit rates.
The read
High volume asynchronous workloads now benefit from reduced latency and lower costs through better state persistence.
The frame
This update aligns batch processing with real-time efficiency standards for developers running large scale model operations.
Primary source
Anthropic →Keep reading
See what Nova3 builds →Related updates
- Jun 06, 2026Anthropic updated prompt caching to automatically read from the longest previously cached prefix when breakpoints are set.
- Jun 06, 2026Anthropic added a delete endpoint to the Message Batches API for managing batch processing tasks.
- Jun 06, 2026Anthropic released the Models API, Message Batches API, and Token counting API for general availability.
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