fullmoon vs Voyage AI

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionfullmoonVoyage AI
PricingFree, open-sourceContact sales (enterprise quote)
Target UserPrivacy-focused Apple users wanting local chatEnterprise teams needing domain-specific RAG
Key ModelLlama-3.2-1B/3B, DeepSeek-R1-Distill-Qwen-1.5B (4-bit)voyage-3.5 (32K context, low-dim embeddings)
PlatformiOS, iPadOS, macOS, visionOSCloud API, Batch API
ComplianceNot applicable (local-only)SOC 2, HIPAA
IntegrationsNone (standalone app)Any vector DB/LLM (modular)

Choose Voyage AI if you need high-accuracy embeddings and rerankers for enterprise RAG with domain specialization (finance, legal) and compliance; choose Fullmoon if you want a free, private, local LLM chat on Apple devices. They serve completely different needs.

fullmoon
fullmoon

Fullmoon runs small Llama and DeepSeek models entirely on your Apple device — free, offline, open source.

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Voyage AI
Voyage AI

Voyage AI delivers domain-tuned embedding models and rerankers for high-precision RAG retrieval

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Pricing
Free
Paid
Plans
$0
Consumption-based pricing (rates not published on page)
Popularity
17 views
7.4k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
MobileDesktop
WebAPI
Categories
💾 Local & On-Device AI🤖 AI Assistants
🗄️ Vector Databases & Retrieval
Features
Runs LLMs fully on-device with no network connection
Swift MLX inference framework
Apple silicon optimization with Metal 3 graphics
Four pre-quantized bundled models (4-bit and 8-bit)
Llama-3.2-1B-Instruct-4bit (0.7 GB)
Llama-3.2-3B-Instruct-4bit (1.8 GB)
DeepSeek-R1-Distill-Qwen-1.5B-4bit (1.0 GB)
DeepSeek-R1-Distill-Qwen-1.5B-8bit (1.9 GB)
Customizable chat theme and fonts
Custom system prompt
Apple Shortcuts action for local-model output
Runs on iOS, iPadOS, macOS, and visionOS
Open-source codebase (fullmoon-ios.git)
Free and open source
TestFlight builds for latest features and models
General-purpose embedding models including voyage-3.5 and voyage-3.5 lite
Domain-specific embedding models optimized for finance, legal, and code
Company-specific fine-tuned embedding models on proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 embeds images and text in one retrieval pipeline
Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs
32K-token long-context support for embedding long documents
rerank-2.5 and rerank-2.5-lite add instruction-following to ranking
voyage-context-3 keeps chunk-level detail with global document context
Batch API for large-scale embedding workloads
4x smaller model with faster inference and superior accuracy
2x cheaper inference with superior accuracy
Plug-and-play with any vectorDB and any LLM
SOC 2 and HIPAA compliance
Deploy on major clouds, in-VPC customer tenants, or on-premise with model licensing
Integrations
Apple Shortcuts

What real users say: fullmoon vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

fullmoon

59 mentions across 5 sources · 33% positive — critical (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, GitHub, Lemmy

What users praise

  • • Fully offline and private—no data leaves your device.
  • • Optimized for Apple Silicon with Metal 3 and MLX.
  • • Clean, simple interface that even beginners can use.
  • • Free and open-source with no hidden costs.

What frustrates them

  • • Naming confusion with another open-source 'fullmoon' project.
  • • Limited model selection—only three small models bundled.
  • • No API access for remote or automated use.
  • • No RAG capability—can't query local documents yet.

Researched Jul 3, 2026

Voyage AI

64 mentions across 6 sources · 45% positive — mixed (weighted across 6 sources)

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Domain-tuned embedders for finance, legal, and code deliver measurable retrieval precision gains
  • • Harvey case study showed 25% fewer irrelevant documents and 3x lower vectorDB costs
  • • Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs materially
  • • Instruction-following rerank-2.5 and rerank-2.5-lite let you steer ranking behavior in plain language

What frustrates them

  • • Terms grant Voyage an irrevocable license to train on API customer data by default
  • • Usage-based pricing at $0.12-$0.18 per million tokens can balloon for high-frequency agents
  • • A community benchmarker found a small Jina model outperformed Voyage for their use case
  • • Circular import bug in voyageai v0.3.5 broke lazy import systems before being fixed

Researched Oct 14, 2026

Who should pick which

  • Enterprise architect building a legal document RAG system
    Pick: Voyage AI

    Voyage AI provides a legal-specific embedding model and 32K token context, plus SOC2/HIPAA compliance for sensitive data.

  • Privacy advocate using only Apple devices
    Pick: fullmoon

    Fullmoon runs fully offline on Apple hardware, ensuring no data leaves the device; free and open-source.

  • Student experimenting with LLMs on a MacBook
    Pick: fullmoon

    Fullmoon is free, easy to install, and offers pre-quantized models for quick local experimentation without API costs.

  • Developer integrating domain-specific RAG for finance
    Pick: Voyage AI

    Voyage AI's finance-specific embedding model and low-dimensional vectors reduce costs and improve retrieval accuracy.

Frequently Asked Questions

fullmoon vs Voyage AI: which should you choose?

Choose Voyage AI if you need high-accuracy embeddings and rerankers for enterprise RAG with domain specialization (finance, legal) and compliance; choose Fullmoon if you want a free, private, local LLM chat on Apple devices. They serve completely different needs.

Can Fullmoon access the internet?

No, Fullmoon runs completely offline; all processing is local.

Does Voyage AI offer a free trial?

No free tier is mentioned; pricing requires contacting sales.

Which tool has better retrieval accuracy?

Voyage AI is built for high-accuracy retrieval with domain-specialized models and rerankers; Fullmoon is a general chat app.

Can I use Fullmoon on Windows?

No, it is only available on Apple devices (iOS, iPadOS, macOS, visionOS).

Does Voyage AI support multimodal?

Yes, it announced voyage-multimodal-3.5 for multimodal retrieval.

Is Fullmoon open-source?

Yes, it is open-source on GitHub.

Can Voyage AI handle long documents?

Yes, its models support up to 32K tokens context.

Which tool is better for a startup on a budget?

Fullmoon is free, while Voyage AI's enterprise pricing may be expensive for startups.

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Last reviewed: July 3, 2026