hn.today

Claude Opus 5.5

anthropic.com1246 points836 comments
Screenshot of Claude Opus 5.5

Anthropic’s Claude Opus 5.5 is a new high-capability model in the Claude 5.5 family that improves performance, safety, and cost-efficiency over Opus 5. It matches or edges Claude Fable 5.1 on many real-world tasks and scored best yet on Anthropic’s automated behavioral audit, with external evaluation from Frontier Design and METR. Opus 5.5 is more resistant to prompt injection, less prone to taking hard-to-reverse actions, and uses the same tightened safeguards deployed on other capable models; vetted organizations can apply for controlled access for life‑sciences and cybersecurity work. The model communicates more naturally and prioritizes key information, which testers found made long sessions easier to follow. Runtime is more than 30% faster than Opus 5, and typical costs are 40% lower: input tokens $4/million, output $20/million, cache reads $0.20/million (with a fast mode available at higher rates).

Substantively, Opus 5.5 shines on agentic coding, computer use, and knowledge-work benchmarks while using fewer tokens per task. Concrete examples include completing a 680,000‑line code migration in under a day, auditing a 200,000‑line codebase in under three hours (vs. 20+ hours for Opus 5), and translating HAProxy from C to Rust in 9.5 hours at 51% lower cost than a comparator. Benchmarks cited include Terminal‑Bench (66.4%), FrontierCode (54.4%), CursorBench (57.8%) and strong GDPVAL knowledge scores; Anthropic highlights that efficiency gains drive much of the practical advantage. Claude Sonnet 5.5 and Haiku 5.5 are slated to follow.

Read on anthropic.com836 comments on Hacker News

Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.

More in AI

No Sloptober

No Sloptober

No Sloptober challenges individuals to abstain from using LLM-based tools throughout October to develop personal skills and awareness of AI's limitations. Participants are encouraged to reflect on their reliance on AI, improve their coding abilities, and reassess the value of automation in their work and learning processes. (no-sloptober.com)

The daily digest

Today's best Hacker News stories, summarized and screenshotted, one email a day.