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Is Claude Code truly faster with message threads? I did the math on my logs
ZDNET tests Anthropic's message threads in Claude Code and estimates 2 to 4 minutes saved per coding session.
Key points
- Anthropic's message threads are on by default for most Claude Code users, and API users can turn them on with the thread parameter.
- Anthropic reports that message threads reduce median time-to-first-token by 35% for large requests.
- Token consumption is unchanged, so message threads provide no cost savings and rate limits do not change.
Why it matters. Developers running long, data-heavy agent sessions may get faster responses, but token use, cost and rate limits are not expected to fall.
Anthropic's message threads, on by default for most Claude Code users, make the tool a tad more responsive, according to ZDNET. Logs of roughly 980 turns showed Claude usually began responding about 3 seconds after each mid-task request in contexts of 500,000 tokens and up. Using Anthropic's reported 35% median time-to-first-token cut, the author estimated savings of 2 to 4 minutes per four-hour session, with no token-cost savings.
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Is Claude Code truly faster with message threads? I did the math on my logs
Claude Code’s update could save you time during demanding, hours-long coding sessions at no extra cost. But by how much? Here’s my real-world result. ZDNET’s key takeaways Anthropic’s message threads make Claude Code a tad more responsive. My tests suggest savings of 2 to 4 minutes per coding session. You get faster responses, but no savings on token costs. My real-world speed estimates This feature is on by default for most Claude Code users. API users can turn it on using the “thread” parameter for API requests. Token consumption remains unchanged, so this capability doesn’t provide a cost savings. The 35% savings is Anthropic’s measurement. More from ZDNET Also: Claude Code’s revised projects adds AI orchestration, but local developers must wait Timing data from roughly 980 turns in my own Claude Code logs before this feature became available shows that Claude usually began a response about 3 seconds after each mid-task request when running contexts of 500,000 tokens and up. During five busy evenings last month, my conversations made roughly 100 to 225 model calls in a four hour stretch. Using Anthropic’s reported 35% median time-to-first token reduction in a quick projection, Claude estimated a 2- to 4-minute savings per four hour work session. Message threads reduce repeated uploads Agents often send a bunch of requests to the model during each conversation. Before message.