Cost Optimization
Reduce AI spend with intelligent routing, request batching, and automated model selection that directs workloads to cost-efficient models while maintaining quality and reliability.
Prompt caching reduces repeated-token spend by reusing stable instructions, examples, and context instead of paying to process them on every call. FastRouter helps teams pair caching strategy with smart routing, usage analytics, governance limits, and OpenAI-compatible access to 100+ models, so production AI workloads become easier to optimize, monitor, and scale without vendor-specific rewrites or surprise costs.
Optimize LLM spend with routing, analytics, governance, auditing, and scale-friendly inference controls built for production AI teams.
Reduce AI spend with intelligent routing, request batching, and automated model selection that directs workloads to cost-efficient models while maintaining quality and reliability.
Route each request based on cost, latency, quality, or throughput priorities across 100+ models, reducing hard-coded model choices and improving efficiency per call.
Understand token usage, request volume, and spend by model, provider, project, and team through a unified dashboard built for accurate AI cost visibility.
Set project-level and API-key-level spend limits, roles, and access controls to prevent surprise bill spikes and keep premium model usage accountable.
Analyze live API requests to compare model performance, reveal savings opportunities, and produce reports covering cost, quality, reliability, and latency improvements.
Lower per-token costs on bulk classification, enrichment, summarization, evaluation, and dataset processing workloads with efficient high-volume inference routing.
Review your production prompts to find repeated instructions, examples, schemas, retrieval context, or policy blocks. These stable sections are the best candidates for caching because they appear across many requests without changing.
See how production AI teams can reduce spend while improving control, visibility, and model resilience.
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
FastRouter helps teams reduce AI costs without giving up reliability, visibility, or governance.
Use one OpenAI-compatible API to access 100+ models without provider-specific rewrites across teams.
Track spend, token usage, latency, and errors across every provider in unified dashboards.
Apply project and API-key limits so caching gains are protected by enforceable budgets.
Automatic failover and fallback policies keep AI workloads running during provider disruptions.
A unified control plane for production AI cost optimization.
FastRouter is built for engineering, platform, product, and finance teams that need more control over production AI workloads. Rather than treating LLM access as a collection of separate provider integrations, FastRouter provides one OpenAI-compatible control plane for routing, observability, experiment tracking, guardrails, cost governance, evaluations, and consolidated billing. Its vision is to help teams run LLMs reliably in production while reducing avoidable spend and operational complexity. For prompt caching initiatives, that means teams can pair better prompt structure with measurable usage analytics, routing policies, budget controls, and ongoing evaluations across 100+ models without rebuilding their application architecture for every provider.
Prompt caching works by identifying repeated prompt content, such as system instructions, long context blocks, tool schemas, or examples, and reusing the processed representation when the same prefix appears again. This reduces the amount of repeated input work the model provider must perform. The best savings usually come from keeping stable prompt sections consistent while placing user-specific or request-specific content later.
Get practical guidance on caching, routing, and cost governance.
One endpoint for broad model access.
Controls for access, budgets, and accountability.
Unified visibility across AI requests.
Share your current model usage, prompt patterns, and cost goals. FastRouter can help you identify practical optimization opportunities and start testing with free credits.
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