Claude Sonnet 5 - AI that plans, acts, and gets work done
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Our most agentic Sonnet yet, with top-tier intelligence for coding and everyday professional work.
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Hey Hunters! 👋
I'm excited to hunt Claude Sonnet 5 today.
Claude Sonnet 5 is Anthropic's most agentic Sonnet yet—able to plan, use tools like browsers and terminals, and complete complex tasks autonomously. It delivers major improvements in reasoning, coding, and knowledge work, with performance approaching Opus 4.8 at a lower cost.
Now available across all Claude apps for Free, Pro, Max, Team, and Enterprise users. What will you build with it?
Loving "baby Fabel" so far. Started to use it lasst night. Feels a s good as Opus 4.6 TBH. 🙏
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I run Sonnet in long agent loops, so the thing I'm watching is tool-call stability: how many calls it chains before it drifts off the original plan. Older Sonnets would start second-guessing a decision they'd already committed to around call 15, which quietly derails an autonomous run. If Sonnet 5 holds the plan through a deep terminal-and-browser session, that's worth more to me than a few SWE-bench points. Anyone pushed it on long-horizon stability yet?
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A develper freind of mine is always comparing AI models for coding tasks. I am definitely sending this over because I know they will want to benchmark it.
Sonnet 5 is doing something no other model does out of the box: spinning up its own sub-agents without being asked. pro tip: pair it with Opus for planning and let it execute the well-scoped work.
the way claude handles long context without losing nuance genuinely impresses me
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How does Claude handle really long documents compared to other assistants you've tried, and is there a hard cap on context length I should know about?
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How does Claude handle really long documents compared to other models I've tried, and is there a way to feed it multiple files at once or do I have to paste everything in?
Honestly impressed by how Claude handles longer context without losing the thread. Used it to summarize a messy research doc and it actually flagged ambiguities instead of guessing.
Replies
Hey Hunters! 👋
I'm excited to hunt Claude Sonnet 5 today.
Claude Sonnet 5 is Anthropic's most agentic Sonnet yet—able to plan, use tools like browsers and terminals, and complete complex tasks autonomously. It delivers major improvements in reasoning, coding, and knowledge work, with performance approaching Opus 4.8 at a lower cost.
Now available across all Claude apps for Free, Pro, Max, Team, and Enterprise users. What will you build with it?
DiffSense
Loving "baby Fabel" so far. Started to use it lasst night. Feels a s good as Opus 4.6 TBH. 🙏
I run Sonnet in long agent loops, so the thing I'm watching is tool-call stability: how many calls it chains before it drifts off the original plan. Older Sonnets would start second-guessing a decision they'd already committed to around call 15, which quietly derails an autonomous run. If Sonnet 5 holds the plan through a deep terminal-and-browser session, that's worth more to me than a few SWE-bench points. Anyone pushed it on long-horizon stability yet?
A develper freind of mine is always comparing AI models for coding tasks. I am definitely sending this over because I know they will want to benchmark it.
Tabstack by Mozilla
Sonnet 5 is doing something no other model does out of the box: spinning up its own sub-agents without being asked. pro tip: pair it with Opus for planning and let it execute the well-scoped work.
available right now on products like @Kilo Code and @v0 by Vercel.
the way claude handles long context without losing nuance genuinely impresses me
How does Claude handle really long documents compared to other assistants you've tried, and is there a hard cap on context length I should know about?
How does Claude handle really long documents compared to other models I've tried, and is there a way to feed it multiple files at once or do I have to paste everything in?
Solid
Working great for coordination tasks so far!
Honestly impressed by how Claude handles longer context without losing the thread. Used it to summarize a messy research doc and it actually flagged ambiguities instead of guessing.