Connect your AI agent harness to Fireworks inference. Keep the workflows your teams already use while gaining access to the leading open models (Kimi K3, GLM-5.2), intelligent routing, per seat cost controls, and more.
AI models have become mission-critical but the bill has become unmanageable. The spend keeps climbing even though most of the tokens never needed the frontier price tag.
After encouraging project managers, designers, and other employees to experiment with coding on Claude Code, the company reportedly cancelled thousands of licenses to reduce operating expenses.
Made headlines for reportedly burning through its entire 2026 AI budget in the first four months of the year. Bloomberg reported that $1,500 caps were implemented per employee.
Publicly noted spending hundreds of millions a year on Anthropic models, while acknowledging that many of the tokens didn't need to go to a frontier model in the first place.
The answer to increasing token costs is not by introducing friction or by eliminating access.
It's implementing better defaults, routing, caching, and better visibility. We've built the underlying infrastructure to make exponential token growth sustainable.
A 1-click on-ramp that points Claude Code, Codex, OpenCode, or your own custom harness at Fireworks. Keep your preferred workflows exactly as they are.
Built-in router that determines which tasks deserve the frontier price tag and which tasks can be completed at the same quality with the leading open-weight models.
Company-specific evals that show cost per task, latency, and performance across models, so you can measure the return on every dollar of AI spend, not take it on faith.
A control plane for AI spend at the user level, across every model your teams use. Set caps and limits, track usage per seat, and manage provisioning from one place.
Fireworks Nexus is where the open model ecosystem comes together. Every leading model, production-ready on one platform, so you keep your workflows and capture the savings.
The best open models arrive on Fireworks first, tuned and production-ready. Reach the whole open ecosystem through a single integration, with the freedom to adopt what's new the day it lands.
Prompt caching is where AI model costs are quietly determined. We sustain 95%+ cache hit rates on production workloads, so the savings land on every request.
We don't ask you to trust a public leaderboard. We run evals on your own workloads and your own tasks, showing which model wins each job on cost, latency, and quality, with the numbers to back it up.
We win when you get more out of every dollar of AI spend, whichever model is right for the job. Our incentive is your efficiency, not any single vendor's usage.
See what Fireworks Nexus would save on your own workloads, with the evals to prove it.
