OrcaRouter Releases OrcaCyber Zero 1.5 Cybersecurity Model With 1M Token Context

OrcaRouter has launched OrcaCyber Zero 1.5, a cybersecurity-specialized language model featuring a 1 million token context window, aimed at security analysis, threat detection, and incident response workflows. The 1M context length is particularly relevant for security use cases where analysts need to ingest entire log files, large codebases, or extended network traces in a single pass without chunking. Cybersecurity-domain models trained on relevant corpora outperform general-purpose LLMs on tasks like vulnerability classification, CVE analysis, and SIEM alert triage. Developers building security tooling or SOC automation pipelines now have a purpose-built model to evaluate against general-purpose alternatives. The combination of domain specialization and ultra-long context sets this apart from prior cybersecurity model releases.