Anthropic Message Threads cut latency for long API chats

Anthropic launched Message Threads as a public beta on its Claude platform, introducing a mechanism to reduce latency in long-running API interactions. According to the company, this update addresses the inefficiency of resending entire conversation histories with every single turn.company claimThis update makes long AI conversations faster by sending less data.

What it does

The new system transmits only the data that has changed since the last message was processed. Anthropic states that this approach cuts the time to first token by approximately 35 percent for requests containing between 500,000 and one million tokens.reported The thread remains encrypted in memory between requests but expires after five minutes of inactivity.

How to get it

Developers can access Message Threads through the Claude platform. The feature is also available via AWS, Microsoft Foundry, and Google Cloud. Anthropic directs users to its documentation for specific implementation details and integration steps.

Limits

Token usage does not decrease because Claude still reads the complete conversation history internally. The feature is currently in public beta. Threads expire after five minutes of inactivity, requiring developers to manage session continuity carefully in long-running workflows.

The takeaway

Anthropic says coding agents, computer-use agents, and workflows processing large volumes of documents or images benefit most from this change. The latency reduction targets the initial response time rather than total processing cost or token consumption.

Building on this

Data science teams can use this to optimize high-throughput agent loops. Anthropic says coding and computer-use agents benefit most. Developers should design systems to handle the five-minute expiry limit. Token usage does not change, so costs remain stable while latency drops for large requests.