What AI says about GPTCache
GPTCache is a dedicated open-source library for creating semantic caches of large language model queries to cut API costs and reduce latency. It is among the brands most often named for optimizing token usage costs and caching LLM responses using semantic similarity.
AI calls itopen-source,flexible,customizable,dedicated,popular,lightweight
Since Jul 5Updated Nov 7, 2026Based on 27,471 AI answers
Reviewed by Dimitry Apollonsky
<1%
of AI answers about GPTCache and its rivals · since Jul 5
Based on 27,471 AI answers
- ChatGPT<1%
- Google AI Mode<1%
How often AI mentions GPTCache
of AI answers about GPTCache and its rivals
Markets where AI mentions GPTCache
Topics where AI mentions GPTCache
- AI picks mostMentioned in
- My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?on this questionAI picks GPTCache most91%
Excerpts where GPTCache appeared in the AI's answer
Google AI ModeSep 26, 2026, Google AI Mode GPTCache — Best Python-native library if you want explicit, granular control
Google AI ModeSep 18, 2026, Google AI Mode GPTCache (by Zilliz): Best if you want a dedicated, highly customizable open-source library specifically built for semantic caching.
- I am planning to optimize our token usage costs. Who offers LLM caching and semantic caching tools?on this questionAI picks GPTCache most95%
Excerpts where GPTCache appeared in the AI's answer
Google AI ModeSep 20, 2026, Google AI Mode GPTCache : A dedicated open-source library specifically designed to build semantic caches for LLM apps.
Google AI ModeSep 12, 2026, Google AI Mode GPTCache : An open-source library specifically built by Zilliz for semantic caching
- I need a proxy that caches LLM responses (semantic caching) to reduce API costs.on this questionAI picks LiteLLM most45%
Excerpts where GPTCache appeared in the AI's answer
Google AI ModeOct 25, 2026, Google AI Mode Maintained by Zilliz, GPTCache is a foundational semantic caching library
ChatGPTSep 18, 2026, ChatGPT GPTCache is another established open-source approach for caching semantically similar LLM requests.
- How do I cut my model bill with caching and smart routing between cheap and premium models?on this questionAI picks OpenAI most6%
Excerpts where GPTCache appeared in the AI's answer
Google AI ModeAug 13, 2026, Google AI Mode Tools like GPTCache or managed gateways (like Langfuse, Portkey , or LiteLLM ) let you implement exact-match and semantic caching
- We are spending too much on tokens for simple queries. Who offers "semantic routing" to send simple queries to smaller, cheaper models?on this questionAI picks LiteLLM and 1 more about as often2%
GPTCache in AI answers
I need a proxy that caches LLM responses (semantic caching) to reduce API costs.
Sites AI cites
- 20%
- GitHub - zilliztech/GPTCache: Semantic cache for LLMs. Fully integrated with LangChain and llama_index. · GitHub (opens in a new tab) · 13%
- GitHub - zilliztech/GPTCache: Semantic cache for LLMs. Fully integrated with LangChain and llama_index. · GitHub (opens in a new tab) · 6%
- LLM Cache Proxy - GitHub (opens in a new tab) · 1%
- GitHub - sensoris/semcache: Semantic caching layer for your LLM applications. Reuse responses and reduce token usage. · GitHub (opens in a new tab) · 1%
- Leaves GPTCache out9%
- Top Semantic Caching Solutions for AI Applications in 2026 (opens in a new tab) · 3%
- Top Semantic Caching Solutions for AI Apps in 2026 (opens in a new tab) · 3%
- Top 5 AI Gateways with Semantic Caching to Cut LLM API Calls (opens in a new tab) · 2%Leaves GPTCache out
- Top 5 LLM Gateways in 2026: A Production-Ready Comparison (opens in a new tab) · 1%
- 5%
- GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching (opens in a new tab) · 2%
- A Generative Caching System for Large Language Models (opens in a new tab) · 2%
- MeanCache: User-Centric Semantic Cache for Large Language Model Based Web Services (opens in a new tab) · 1%
- Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation (opens in a new tab) · 1%

