fullmoon vs Voyage AI

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

Analysis reviewed Live tool data as of 2026-09-01
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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

Chat with private, local LLMs on Apple devices.

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Voyage AI
Voyage AI

Specialized embedding models and rerankers for high-accuracy enterprise RAG, with 32K-token context and multimodal support.

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Pricing
Free
Contact Sales
Plans
Popularity
13 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 offline
Apple Silicon optimization
Metal 3 graphics support
Swift MLX framework
4-bit and 8-bit quantization
Multiple models bundled
Customizable themes and fonts
Custom system prompts
Apple Shortcuts integration
Cross-platform Apple support
Open-source on GitHub
TestFlight beta access
On-device privacy
App Store availability
General-purpose embedding models: voyage-3.5, voyage-3.5 lite
Domain-specific models for finance, legal, and code
Company-specific fine-tuned models for proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 for multimodal retrieval (images + text)
Low-dimensional embeddings (3x-8x shorter vectors) reduce storage costs
Long-context support up to 32K tokens
rerank-2.5 and rerank-2.5-lite with instruction following
Batch API for large-scale embedding workloads
voyage-context-3 provides chunk-level details with global document context
Low-latency inference with 4x smaller model
2x cheaper inference than previous models
SOC 2 and HIPAA compliance
Modular design: plug-and-play with any vector DB and LLM
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

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

41 mentions across 4 sources · 48% positive — mixed

Hacker News, YouTube, Stack Overflow, Lemmy

What users praise

  • High accuracy for RAG retrieval, especially with the reranker models.
  • Domain-specific models for finance, legal, and code deliver better results.
  • Low-dimensional embeddings cut vector storage costs by up to 8x.
  • Supports long contexts up to 32K tokens, useful for large documents.

What frustrates them

  • Data-training clause in terms raises privacy red flags for enterprises.
  • Pricing is opaque, requiring contact with sales.
  • Community support is sparse — few Stack Overflow answers or forum threads.
  • No clear free tier, so trying it costs time with sales or API credits.

Researched Aug 26, 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