AutoYou
Freemium
Users wanting fully private local AI
Cactus
FreemiumAPISelf-HostedAgentic
Cactus runs AI models directly on phones and edge devices, cutting cloud costs by 5x through hybrid routing.
Free tier; paid hybrid inference and NPU acceleration features · Free tier: On-device inference only; hybrid cloud routing and advanced NPU acceleration require API key and paid subscription
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Summary
Cactus is a mobile inference engine that executes optimized AI models on-device rather than sending requests to the cloud. The core problem: deploying AI to phones drains batteries, adds latency, and creates privacy/compliance friction. Cactus addresses this by compiling models into its proprietary .cact format, achieving sub-150ms inference without requiring a GPU—a claim that sidesteps the usual speed-versus-efficiency tradeoff. It's freemium: free tier covers development and small deployments; paid plans scale to production workloads. The honest limitation: you're confined to smaller, optimized models. Frontier models (GPT-4 scale) require cloud fallback, so this isn't a full replacement for cloud inference.
Bottom line: *Use when latency, privacy, and offline reliability trump model capability; skip if you need frontier-model performance.*
Pricing Plans
Usage-Based- Price
- Free tier; paid hybrid inference and NPU acceleration features
- Free Tier
- On-device inference only; hybrid cloud routing and advanced NPU acceleration require API key and paid subscription
Free (Hobby/SMB)
Free
On-device inference only, no cloud fallback; suitable for hobbyists, students, non-profits, and small businesses
- Full on-device inference
- All SDKs (Swift, Kotlin, React Native, Flutter, Python)
- Quantization support (INT4, INT8, FP16)
- Access to pre-converted model weights
Hybrid Inference (Production)
Custom
Cloud fallback routing, custom models, NPU acceleration for production deployments
- Automatic cloud handoff with confidence routing
- NPU acceleration unlock (Apple, Snapdragon, Exynos)
- Custom model optimization
- Priority support
View full pricing on cactuscompute.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
Before you choose Cactus
More options in Local Inference Runtimes. Compare pricing, platforms, and features side by side.
LM-Kit One
Freemium
Companies needing data-residency compliance
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
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
About
- Platforms
- iOS, Android, macOS, wearables (smartwatches, AR glasses); Linux, macOS, Windows (CLI)
- Languages
- Multi-language via Qwen3 and open models; transcription supports all audio languages
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- April 29, 2026
Best For
Who it's for
- Mobile app developers needing sub-150ms latency
- Privacy-critical applications (HIPAA/GDPR compliance)
- Battery-constrained devices and wearables
- Offline-first or poor-connectivity scenarios
- Cost-sensitive deployments at scale
What it does well
- Real-time voice commands and dictation in mobile apps
- Privacy-first transcription for healthcare and compliance-sensitive applications
- Meeting note-taking and speaker detection on macOS
- Always-on transcription for AR glasses and wearable devices
- Tool-calling agents that dynamically route tasks between edge and cloud
Integrations
Compare Cactus
Frequently Asked Questions
- Is Cactus free?
- Cactus offers a free option alongside paid upgrades. Pricing: Free tier; paid hybrid inference and NPU acceleration features. Check the current allowances and terms before choosing a plan.
- Does Cactus have an API?
- Yes. Cactus exposes a developer API. See the official documentation at https://cactuscompute.com for details.
- Can I self-host Cactus?
- Yes. Cactus supports self-hosting on your own infrastructure.
- When was Cactus released?
- Cactus was first released in 2025.
- What platforms does Cactus support?
- Cactus is available on: iOS, Android, macOS, wearables (smartwatches, AR glasses); Linux, macOS, Windows (CLI).
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Cactus runs AI models directly on phones and edge devices, cutting cloud costs by 5x through hybrid routing.
Cactus is a mobile inference engine that executes optimized AI models on-device rather than sending requests to the cloud. The core problem: deploying AI to phones drains batteries, adds latency, and creates privacy/compliance friction. Cactus addresses this by compiling models into its proprietary .cact format, achieving sub-150ms inference without requiring a GPU—a claim that sidesteps the usual speed-versus-efficiency tradeoff. It's freemium: free tier covers development and small deployments; paid plans scale to production workloads. The honest limitation: you're confined to smaller, optimized models. Frontier models (GPT-4 scale) require cloud fallback, so this isn't a full replacement for cloud inference.
*Use when latency, privacy, and offline reliability trump model capability; skip if you need frontier-model performance.*
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