Anthropic releases Claude Sonnet 5.5, 30% faster than Sonnet 5
Read original source →anthropic.com
Sonnet 5.5 is the second model in the Claude 5.5 family after Opus 5.5, priced the same as Sonnet 5 at $2/$10 per million tokens with cache reads at $0.20. Anthropic says it costs up to 30% less for most work and delivers 30% more usage in Claude Code.
How this story unfolded
9 days · 16 reports · 49 community posts · 65 of 69 shown
- Sep 28
Introducing Claude Sonnet 5.5youtube.com
Anthropic releases Sonnet 5.5, which it calls a significantly cheaper, faster work partnertechcrunch.com
Anthropic launches Claude Sonnet 5.5 with 30% cost reduction per-task due to faster speeds and fewer tool callsventurebeat.com
Anthropic launches cheaper AI model, its second release since CEO's call for a slowdowncnbc.com
Claude Sonnet 5.5 now available on AI Gatewayvercel.com
Anthropic launches Claude Sonnet 5.5 with near-Opus performance at half the pricethenewstack.io
Introducing Claude Sonnet 5.5 on AWSaws.amazon.com
Anthropic's Claude Sonnet 5.5 Is Out, Beats Opus 5.5 at Coding for Half the Pricedecrypt.co
You picked Claude Sonnet 5.5 — but Anthropic may send your request to Sonnet 5thenewstack.io
- Sep 29
- Oct 4
- Oct 7
More stories today
Michael Jordan critiques focus on AI existential risk
Michael Jordan·45 minutes agoCustom ComfyUI node 'durable' targets overnight run crashes
A Reddit user built a custom ComfyUI node called "durable" to stop overnight runs dying from OOM errors or random crashes that left an empty queue. The node is a few MB to download.
r/StableDiffusion·46 minutes ago
Reddit users share passing Claude Certified Architect exams
Two r/ClaudeAI posters report passing Anthropic's Claude certification exams: one scored 781/1000 on CCAF after roughly two weeks of prep, calling the questions confusing; another says they hold the Architect (Professional and Foundations) and Developer Foundations certs.
r/ClaudeAI·1 hour ago
Apple researchers propose SelfCompact for agent context compaction
SelfCompact lets the model itself decide when to summarize its context via a compaction tool plus a lightweight rubric, needing no fine-tuning. Across six benchmarks and seven models it beat a no-summarization baseline by up to 18.1 points on math and 5-9 points on agentic search at 30-70% lower per-question cost.
Apple ML Research·1 hour ago

Apple's Minions aggregates idle Apple Silicon GPUs into a virtual cloud
Apple researchers present Minions, a distributed virtual GPU cloud that pools idle GPUs across macOS devices to run large-scale ML inference without buying new hardware. The system adds fault tolerance and flexible task execution for teams facing constrained centralized GPU capacity.
Apple ML Research·1 hour ago

Graphsignal profiler adds graphsignal-top GPU view for inference
graphsignal-top ranks GPU kernels by time, live, with readable names, inside the open-source Graphsignal profiler. It wraps vllm serve or sglang serve via graphsignal-run and serves measurements as JSON so an agent can read them in a loop.
r/LocalLLaMA·1 hour ago
Apple study finds LLM translation quality annotation unreliable
Apple researchers tested LLMs against human annotators on MQM and Error Span Annotation across 70 language pairs plus WMT23 and WMT25 data. LLM agreement beat human-human agreement on some tasks but varied widely by scheme, language pair, and domain, staying unreliable in most settings.
Apple ML Research·1 hour ago

Muse Code fixes quota bug, resets usage limits
Alexandr Wang·1 hour ago