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Cactus vs LM Studio

Bottom line

Cactus has a free plan plus paid upgrades, while LM Studio is free.

Which one should you try?

Cactus

Freemium

Best for Mobile app developers needing sub-150ms latency

Visit Cactus See full review

LM Studio

Free

Best for People who want a desktop app for downloading and chatting with local models

Visit LM Studio See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Cactus

Cactus

Open-source inference engine for deploying AI models locally on mobile and edge devices with automatic cloud fallback.

LM Studio

LM Studio

LM Studio is a free desktop app for local models with a headless server (llmster), local APIs and SDKs. We ran llmster on a CPU-only server and measured install, load time and offline behavior.

AttributeCactusLM Studio
PricingFreemiumFree
PriceFree tier; paid hybrid inference and NPU acceleration featuresFree to run models locally; optional cloud plans: Bionic+ $20/mo, Pro $100/mo
Pricing checkedNot checked yetOct 16, 2026
Free trialNot statedNot stated
Open sourceNoNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsiOS, Android, macOS, wearables (smartwatches, AR glasses); Linux, macOS, Windows (CLI)macOS (Intel and Apple Silicon), Windows, Linux (x64 and ARM64)
LanguagesMulti-language via Qwen3 and open models; transcription supports all audio languages—
Released20252023-05
Pros
  • Sub-150ms on-device latency without GPU dependency
  • 5x cost savings vs. pure cloud inference through intelligent hybrid routing
  • Cross-platform single SDK (iOS, Android, macOS, wearables)
  • Privacy-by-default with optional offline-only mode and zero data retention
  • Automatic confidence-based cloud fallback requires no app-level code changes
  • A desktop app and a headless server (llmster), so you can chat with models or serve them to your apps.
  • Local APIs plus Python and TypeScript SDKs.
  • Works offline: with its update and extension hosts blocked, it still loaded and served the model.
  • Used 2 GB of memory with our 3B model, a little less than Ollama's 2.2 GB.
Cons
  • Limited to smaller, optimized models; frontier models require cloud fallback
  • Proprietary .cact format ties optimization benefits to Cactus ecosystem
  • Paid tiers required for production hybrid inference and NPU acceleration
  • Slow cold load: lms load took 44.6 s, about 34 s of it before the engine started, with nothing in the logs to explain the wait.
  • Closed source and free under LM Studio's terms; only the lms CLI is open source (MIT).
  • Ollama generated text up to 1.38x faster on the same model and cores.

Made up your mind?

Cactus

Freemium

Best for Mobile app developers needing sub-150ms latency

Visit Cactus See full review

LM Studio

Free

Best for People who want a desktop app for downloading and chatting with local models

Visit LM Studio See full review

Related comparisons

Free trials & curated lists

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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