ModelOps gives engineering and product teams instant visibility into LLM cost, latency and token usage, across every provider, model and feature. Ship faster. Spend smarter.
No credit card required · 60-second setup · Works with OpenAI, Anthropic & Gemini

See usage, latency, and cost in one place before it impacts users.
Overhead per request
Providers supported
Client-side privacy
One SDK. Every provider. Full observability, without the overhead.
Cost Visibility
Know exactly how much every LLM call costs. Break down spend by model, provider, user, or feature — in real time.
Latency Tracking
Identify slow models before they hurt UX. Monitor p50, p90, p99 latencies across OpenAI, Anthropic, Gemini and more.
Token Analytics
Track prompt and completion tokens per request. Spot bloated prompts and optimize for efficiency without guessing.
Model Comparison
A/B test models side by side. Compare cost, speed and quality so you always ship the right model for the job.
Anomaly Alerts
Get notified when cost spikes, error rates climb or latency degrades — before your users notice.
One-line Integration
Wrap your existing LLM client — no proxy, no infra changes. Works with every major provider out of the box.
1
Install the SDK
npm install model-ops
2
Wrap your client
const modelOps = new ModelOps(openaiClient, { apiKey });
3
Track any call
await modelOps.track({ messages, model: "gpt-4o" });
Join teams that have cut LLM costs by up to 40% and improved response times — just by having visibility.
Free to get started
No infrastructure changes
Works with your existing LLM clients
No credit card · Cancel any time