Savings per merged PR
Tokens served daily
Tokens/second available
Developers set up in minutes with our CLI in the harnesses they use
Developers set FireRouter as the model for optimal price-performance routing.
Set user budgets and measure ROI on your workloads.
Admins see every user's spend, limit, and override. Engineers see their own before they hit a wall. Set the ceiling once in Settings, firectl, or REST API.
Engineers maintain their tools and flow state with the FireConnect CLI. Setup in minutes. Create more token headroom with FireRouter, your model autopilot, or pin your own model choices.
FireRouter scores every request and takes the most cost efficient path between open and closed models with tunable preferences. Developers can pass --routing-preference when they enable a harness, or send the x-routing-preference header on individual calls.
“Frontier models took us to product-market fit; now we're driving signal-to-noise further — more real bugs, fewer false positives. At our scale that's a training problem, and Fireworks makes it easy.”
"Fireworks has been a fantastic partner in building AI dev tools at Sourcegraph. Their fast, reliable model inference lets us focus on fine-tuning, AI-powered code search, and deep code context, making Cody the best AI coding assistant. They are responsive and ship at an amazing pace."
"Tokenmaxxing had a good run. But the teams that win with AI from here will be the ones getting more done for less, not the ones spending the most…After optimizing our harness for open weight models, we secretly swapped one of our most used internal agents from Opus 4.8 to GLM-5.2, and no one at the company noticed. We are now seeing cost savings of up to 72%."
“Frontier models took us to product-market fit; now we're driving signal-to-noise further — more real bugs, fewer false positives. At our scale that's a training problem, and Fireworks makes it easy.”
"Fireworks has been a fantastic partner in building AI dev tools at Sourcegraph. Their fast, reliable model inference lets us focus on fine-tuning, AI-powered code search, and deep code context, making Cody the best AI coding assistant. They are responsive and ship at an amazing pace."
"Tokenmaxxing had a good run. But the teams that win with AI from here will be the ones getting more done for less, not the ones spending the most…After optimizing our harness for open weight models, we secretly swapped one of our most used internal agents from Opus 4.8 to GLM-5.2, and no one at the company noticed. We are now seeing cost savings of up to 72%."
“Frontier models took us to product-market fit; now we're driving signal-to-noise further — more real bugs, fewer false positives. At our scale that's a training problem, and Fireworks makes it easy.”
Fireworks has built a fully disaggregated inference engine optimized at every layer, from custom kernels to memory management to adaptive caching. The platform now serves 40T+ tokens daily on a global scale with zero data retention, US-hosted only options, and certifications for SOC 2, ISO 27001, ISO 42001, HIPAA. We maintain commercial agreements for leading open frontier models and offer zero-day access with optimized performance.
While it’s true you can configure a router in a weekend, a badly built ladder performs worse than no routing at all. Research by Arize proved naive escalation across ten models performed worse than every single model tested on its own. The judgment is the stack. For example, Fireworks holds a 95%+ cache hit rate on routine coding traffic, and cached input runs at half price. FireRouter factors hit rate into every decision.
Have a gateway? Keep it. Nexus has a documented LiteLLM Proxy integration. Use it for policy, fan-out, and fallbacks, and let FireRouter own the cost-versus-quality call on tasks inside it.
