Fireworks AI noticed that many engineering teams spend too much on frontier models while doing routine work that could be handled by cheaper open‑weight options. Budgets disappear quickly, switching costs feel high, and platform teams stay locked into expensive contracts because the process to change models is complex and risky.
Fireworks Nexus solves this mismatch by adding a managed layer that sits between the tools developers already use and the models they call. First, enterprise controls let organizations set budgets at any level, track ROI, and enforce policies from a single dashboard without storing any data. Second, FireConnect provides a one‑line install that maps existing harness slots to Fireworks models, keeping Claude Code, Codex, and OpenCode working exactly as before. Third, an intelligent router scores each request’s difficulty and sends simple tasks to a cost‑effective open‑weight model while routing hard tasks to the existing frontier provider using the team’s own key, which is never stored server‑side. Early tests show a three‑to‑five‑fold reduction in cost and about a third lower cost per merged pull request.
Teams can start with the low‑friction FireConnect path, switch to a direct base‑URL change for full compatibility, or place the router in front of their current frontier contract for gradual adoption. All components are released under Apache 2.0, run on US‑hosted endpoints with zero data retention, and span twenty global data centers.
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