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Memory savings calculator
See how much you save when Mem0 compresses your conversation history — instead of sending the full context on every call.
Your usage
Context reduction with Mem0
How much Mem0 reduces your input tokens per request. Typical result: 60–90%.
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Set your model and request volumes on the left to see your savings.
FAQ
What is a memory layer and how does it cut costs?
A memory layer like Mem0 stores conversation history externally. On each new request, only the most relevant memories are retrieved — not the full history. This typically cuts input tokens by 60–90%, which directly reduces your API bill.
Does reducing context hurt response quality?
Done right, it can actually improve quality. Focused, relevant context helps the model pay attention to what matters instead of getting lost in a long history.
Which apps benefit most?
Any app with returning users and multi-turn conversations: support bots, coding assistants, personal AI companions, and knowledge bases. If you're sending long chat history on every request, Mem0 can help.