Every LLM bill, one morning signal.
Token spend across every LLM you call, with same-day alerts when one of them jumps.
- 5 min
- setup, per provider
- 90 days
- history, instantly
- Same-day
- anomaly alerts
- Read-only access
- 14-day free trial
- No credit card required
Daily Spend by Provider
$24,321 total
What is StackSpend for LLM Cost Monitoring?
StackSpend is an LLM cost monitoring platform that tracks token and API spend across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) in one dashboard. Get a daily Slack or email signal, model-level breakdown, anomaly alerts, and pace-to-forecast so LLM costs are visible the day they move — not at the invoice.
Why is this spend hard to control?
01
LLM spend can double in 24 hours. A prompt change, a model switch, a runaway agent loop, or a product launch multiplies token volume faster than any monthly dashboard reveals.
02
Every LLM provider bills differently and reports separately. OpenAI, Anthropic, Claude, Cursor, and Hugging Face each have their own usage view, so total LLM cost requires manual aggregation.
03
Native usage dashboards are retrospective. By the time you see the number, the tokens are already spent and the overrun is committed.
What does StackSpend show?
Every model you run, in one lens.
Usage by base model, project and user, in tokens and in API-equivalent value. Estimated and billed usage stay separate, so the numbers never double-count and never pretend to be your invoice.
Business plan
How it worksSwitch to a cheaper model that scores as well.
StackSpend checks the models you run against a priced, benchmarked catalogue every day. When a cheaper one scores as well, you get the swap, the evidence, and the monthly saving at your real token mix.
Business plan
How it worksOne message each morning. Nobody opens a billing portal.
Team plan and above
How it worksSee this running against your own bill by tomorrow morning.
Read-only · 5 minutes per provider
Who is this for?
- Teams that want daily visibility into spend without manually checking billing portals.
- Buyers replacing spreadsheets and fragmented native dashboards with one monitoring workflow.
- Operators who need read-only setup, alerts, and forecasting before overrun becomes month-end reality.
What's included?
- StackSpend connects every LLM provider with read-only credentials and normalizes token and API spend into one view with a combined total and model-level breakdown.
- A daily signal lands in Slack or email — green, amber, or red — so the team knows whether LLM spend is on track without opening a single provider portal.
- Anomaly detection compares spend to your baseline and fires the day a model mix shifts or token volume jumps. Pace-to-forecast shows where the month lands before the billing cycle closes.
What we track
- OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI)
- Cost by provider and model
- Token and request volume signals
- Daily Slack or email signal
- Anomaly alerts and pace-to-forecast
- 90 days of history
What are the most common cost triggers?
- A prompt change quietly doubles average tokens per request across a high-traffic feature
- A fallback to a premium model becomes the default and triples cost without an alert
- A runaway agent loop sends 10× normal token volume overnight
- An embeddings or eval backfill runs per event instead of using cache or sampling
Why teams outgrow the native billing consoles
Native tools are built for investigation. StackSpend is built for prevention.
OpenAI, Anthropic, and Cursor native usage dashboards
- One provider at a time — no combined LLM total across providers
- Retrospective usage views, not same-day alerts
- No statistical anomaly detection on token or model-mix changes
- No pace-to-forecast against an LLM budget
StackSpend
- One dashboard for every LLM provider with a combined total
- Daily Slack or email signal across all model spend
- Anomaly detection on token volume and model mix
- Pace-to-forecast so LLM overruns are visible before month-end
Native tools show you last month. StackSpend tells you tomorrow.
Connect read-only in about five minutes. 90 days of history loads automatically, and the first daily signal arrives tomorrow morning.
Read-only access · Flat plans, never a % of your bill · No credit card required
Live from the price engine
What the major models cost right now
| Provider | Model | Input /MTok | Output /MTok |
|---|---|---|---|
| openai | gpt-5.6-terra | $2.00 | $12.00 |
| anthropic | claude-opus-5 | $5.00 | $25.00 |
| anthropic | claude-sonnet-5 | $2.00 | $10.00 |
| gemini | gemini-pro-latest | $1.25 | $10.00 |
| xai | grok-4.5-latest | $2.00 | $6.00 |
| deepseek | deepseek-v4-pro | $0.43 | $0.87 |
USD per 1M tokens. Verified 2026-08-05 against primary sources. Source: the open LLM price dataset (CC BY 4.0) — the same engine behind the LLM API pricing index.
What do you get when you connect?
- Setup time
- Most teams can connect and validate setup in about 5-10 minutes.
- Access model
- Read-only credentials only. StackSpend does not modify provider resources or billing settings.
- Signals
- Daily Slack or email updates, anomaly alerts, and budget tracking in one workflow.
- History and forecast
- Historical spend context plus pace-to-forecast so overruns are visible before month-end.
LLM Cost Monitoring, answered
What is LLM cost monitoring?
LLM cost monitoring tracks what your language-model usage actually costs — spend by provider, model, and token volume — and turns it into a daily signal instead of a monthly invoice surprise. StackSpend monitors LLM cost across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok, so a prompt change or model switch that doubles cost is visible the day it happens.
Which LLM providers can StackSpend monitor?
StackSpend monitors LLM cost across OpenAI, Anthropic, Claude, Cursor, Hugging Face, and Grok (xAI) in one dashboard, with a combined total and per-model breakdown.
How does StackSpend catch LLM cost spikes early?
Anomaly detection compares each day's LLM spend and token volume to your baseline and fires a Slack, email, or webhook alert when a model-mix shift or token surge starts — and pace-to-forecast shows where the month will land before the billing cycle closes.
What should LLM cost tracking software actually do?
Good LLM cost tracking software does four things: connects every provider you use (not just one), maps token usage to current model prices so the numbers stay accurate as pricing changes, attributes spend to teams and features rather than one blended total, and alerts you when spend breaks pattern. StackSpend covers all four with read-only connections, a maintained cross-provider price table, tagging, and same-day anomaly alerts — free 14-day trial, plans from $29/month.
How do I manage LLM costs across multiple providers?
Put all providers in one view first — cost by provider, model, and team — because you cannot manage what is split across six billing consoles. From there, LLM cost management is three loops: a daily signal to catch anomalies the day they start, a monthly review of model mix against quality needs (premium models only where they earn it), and forecasting so budget conversations happen before overruns. StackSpend automates the first and gives you the data for the other two.
Can I track LLM costs in a spreadsheet instead?
For one provider and one team, a monthly export works. It breaks down when models or prices change (your cost-per-token column silently goes stale), when a second provider arrives, or when you need to know mid-month that spend is spiking. A tracking tool exists precisely to do the continuous, price-accurate version of that spreadsheet for you.
Tomorrow morning: one number, in Slack.
Connect read-only today. 90 days of history loads automatically, and the first daily signal arrives with breakfast — green means nobody has to think about cost at all.