This page is designed to help you find out whether LLMtrack is good and if it is the right choice for you.
LLMtrack shows what every LLM request costs the moment it completes, broken down by product feature, model and customer. Each request is priced component by component, including cached, reasoning and audio tokens, across 420+ models from 12 providers, re-synced daily. See which customers cost more than they pay, when you'll pass your budget, and whether a cheaper model is worth switching to. One async SDK call, no proxy, prompts never stored.
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Cost per feature
Every LLM request is labelled with the product feature that made it, so spend splits by feature
Cost per customer
Spend per customer, compared with their plan price to show the margin on each account
Model switch advice
Benchmark-backed advice per feature: Switch, Test first or Keep
Cache intelligence
Cache hit rate and savings per feature, with an alert when caching breaks
Spend forecast
Projected monthly bill and the day you will cross your budget
Image and audio models
Images and voice are priced in tokens at their own rates; audio is never priced at text rates
Unknown models
Flagged as unpriced, never recorded as $0
Gateway integrations
Connects to OpenRouter, Cloudflare AI Gateway and LiteLLM with one URL, no SDK needed
Real-time cost
Each request is priced in under a second after it completes
Component-level pricing
Text input, cached reads, cache writes, reasoning, text output, audio in and audio out are each priced at their own rate
Model price coverage
420+ models from 12 providers, re-synced daily from each provider’s published rates
SDKs
Official Node.js (npm: llmtrack) and Python (PyPI: llmtrack-sdk) SDKs
It shows what every LLM request costs the moment it completes, broken down by feature and customer. Each request is priced component by component, across 422 models. Unknown models are flagged, never shown as $0. No proxy, no prompts stored.
Most tools trace what your AI calls did. LLMtrack tells you which feature and which customer is costing you money, and what to change. Setup is one SDK call. The free plan includes every feature.
Developers and small SaaS teams shipping AI features who get a provider's bill and can't tell which feature or customer caused it.
My OpenAI bill was one number. I wanted to know which feature spent it, so I built a small logger. By cost it was the code feature. By tokens it was the summarizer. Watching tokens alone would have blamed the wrong one.
Next.js, TypeScript, Vercel, Supabase (Postgres), Node.js and Python SDKs, OpenTelemetry.
We have collected here some useful links to help you find out if LLMtrack is good.
Check the traffic stats of LLMtrack on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of LLMtrack on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LLMtrack's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of LLMtrack on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about LLMtrack on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you know an article comparing LLMtrack to other products?
Suggest a link to a post with product alternatives.
Is LLMtrack good? This is an informative page that will help you find out. Moreover, you can review and discuss LLMtrack here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.