Model Hubs & Serving

GPTCache

Semantic Cache for Large Language Model Queries

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0

What it is

GPTCache is a library that enables the creation of semantic caches to optimize queries for large language models, reducing latency and improving efficiency.

GPTCache stands out by providing a semantic caching solution specifically tailored for large language models, offering unique optimizations that improve query efficiency and reduce latency.

When it fits — and when it doesn’t

A good fit for

  • Developers building applications with large language models who need to optimize query responses for speed and efficiency

  • Teams working on chatbots or conversational AI systems where reducing latency is critical

Look elsewhere if

  • Projects that require real-time streaming capabilities as GPTCache focuses on caching and may not support real-time data processing

  • Applications with very low-latency requirements, as the caching mechanism might introduce a slight delay in response times

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Complex setup and configuration

    Requires detailed tuning of cache parameters to achieve optimal performance

What it does well

  • Semantic caching for LLM queries

  • Reduces latency and improves efficiency in query responses

  • Optimized for large language models

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up GPTCache

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
Get the badge

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GPTCache — tracked on AI Navigator

Markdown

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HTML

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