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LangChain
Helicone AI
Portkey
MarginDash
TokenCalculator.dev
AI cost tracking for developers: what every LLM request costs the moment it completes, by feature, model and customer. SDK, no proxy, prompts never stored.

Create iOS and Android apps with React and Ionic

Website, pricing, platforms and company facts side by side.
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| Website | llm-track.com | reactionic.github.io |
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In their own words, as submitted to SaaSHub.


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...
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What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing LLMtrack and React-Ionic.
LLMtrack's answer
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.
LLMtrack's answer
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.
LLMtrack's answer
Developers and small SaaS teams shipping AI features who get a provider's bill and can't tell which feature or customer caused it.
LLMtrack's answer
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.
LLMtrack's answer
Next.js, TypeScript, Vercel, Supabase (Postgres), Node.js and Python SDKs, OpenTelemetry.
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