Token‑length as a Frontier Metric

Frontier model races are shifting from single‑turn accuracy to how long a model can sustain coherent, audited chains of work: output‑token ceilings (e.g., 64k → 1M) are now a key dimension for enterprise and security use cases. That matters because longer sustained outputs change which tasks models can reasonably automate and raise new compute, storage, and provenance requirements. — If token‑length becomes a primary competitive metric, policy and procurement debates must account for different risks and infrastructure needs (auditability, energy, vendor lock‑in) than short‑context benchmarks alone imply.