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.
- 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.
Get the badge
A small badge for GPTCache’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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