LMCache vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionLMCacheVoyage AI
Pricingfreecontact
Best forDevelopers building low-latency LLM chatbots, Enterprises deploying LLMs at scaleEnterprise RAG pipelines needing high-accuracy retrieval on finance or legal documents, Teams requiring long-context embeddings (32K tokens) for thorough document understanding
Standout featuresKV cache compression for reduced storage and bandwidth · Streaming and decompression for low-latency delivery · Seamless integration with vLLM and TGIEmbedding models: voyage-3.5 and voyage-3.5 lite · Domain-specific models for finance, legal, and code · Company-specific fine-tuned models
Viability score69/10075/100
APIYesYes

LMCache is the stronger pick for developers building low-latency llm chatbots; Voyage AI fits better for enterprise rag pipelines needing high-accuracy retrieval on finance or legal documents.

Built from live tool data, last verified 2026-07-17.

LMCache
LMCache

Open-source KDN accelerating LLM inference by caching KV caches up to 8x faster.

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Voyage AI
Voyage AI

Domain-specialized embedding models and rerankers for enterprise RAG.

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Pricing
Free
Contact Sales
Plans
Popularity
1 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLI
API
Categories
⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
KV cache compression for reduced storage and bandwidth
Streaming and decompression for low-latency delivery
Seamless integration with vLLM and TGI
Prompt caching for conversational AI
Fast RAG via dynamic KV cache fusion (CacheBlend)
Scalable without complex GPU request routing
Offline content upgrades for improved quality
Open-source codebase on GitHub
KV size calculator for cost estimation
Research-backed algorithms (CacheGen, CacheBlend)
Embedding models: voyage-3.5 and voyage-3.5 lite
Domain-specific models for finance, legal, and code
Company-specific fine-tuned models
Voyage 4 model series (newly announced)
Multimodal model: voyage-multimodal-3.5
Long-context support up to 32K tokens
Low-dimensional embeddings (3x-8x shorter vectors)
Reranker models: rerank-2.5 and rerank-2.5-lite
Instruction following for reranker models
Batch API for large-scale workloads
Voyage-context-3: chunk-level details with global context
Low-latency inference (4x smaller model)
SOC 2 and HIPAA compliance
Modular: works with any vector DB and LLM
Integrations
vLLM
TGI

Who should pick which

  • Enterprise RAG pipeline for legal documents
    Pick: Voyage AI

    Voyage offers a legal-specific embedding model and reranker with 32K token support, improving retrieval accuracy on lengthy contracts.

  • Developer building a low-latency chatbot
    Pick: LMCache

    LMCache cuts LLM inference latency by caching KV caches, ideal for real-time conversational AI.

  • Solo founder bootstrapping an AI app
    Pick: LMCache

    LMCache is free and open-source, with immediate deployment using vLLM; Voyage's sales contact adds friction.

  • Financial analyst querying earnings reports
    Pick: Voyage AI

    Voyage's finance model and low-dimensional embeddings reduce storage costs for large document corpora.

  • Research team exploring KV cache optimization
    Pick: LMCache

    LMCache provides cutting-edge algorithms (CacheGen, CacheBlend) and is open-source for customization.

Frequently Asked Questions

Which is better, LMCache or Voyage AI?

The best choice between LMCache and Voyage AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between LMCache and Voyage AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of LMCache or Voyage AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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