Comparison
vMLX vs Inferencer
Which local AI app is best for Mac?
Both are Mac-native local AI apps. vMLX focuses on maximum speed and agentic coding tools.
Inferencer focuses on token inspection and model control transparency. vMLX has the faster engine and more
features.
Feature-by-feature comparison
| Feature | vMLX | Inferencer |
|---|---|---|
| Speed (100K context) | 154,121 tok/s cold | Not benchmarked |
| Prefix Caching | Yes | Basic (LRU) |
| Paged KV Cache | Yes (multi-context) | Not available |
| KV Cache Quantization | q4/q8 | Not available |
| Persistent Disk Cache | Yes | Not available |
| Continuous Batching | 256 sequences | Not specified |
| Agentic Tools (MCP) | 20+ built-in | Basic (web, search) |
| Token Inspection | Not available | Yes (unique feature) |
| API Endpoints | 7 (OpenAI-compatible) | Not specified |
| Vision Models | Yes (full 5-layer cache) | Yes |
| Mamba/SSM | Yes | Not specified |
| Distributed Compute | Not available | Yes (2 Macs) |
| Model Streaming | Not available | Yes (from storage) |
| Speculative Decoding | Yes | Not available |
| Voice Chat | Yes (TTS/STT) | Not specified |
| HuggingFace Browser | Built-in | Yes |
| Price | Free | Free + $9.99/mo Pro |
| Distribution | GitHub (DMG) | Mac App Store |
| IDE Integration | API (Cursor, Continue, Aider) | VS Code, Xcode |
Strengths at a glance
Where vMLX excels
- Raw speed — 154,121 tok/s cold at 100K context with a full 5-layer caching stack (prefix + paged KV + q4/q8 quantization + continuous batching + disk cache)
- Advanced caching — paged multi-context KV cache keeps conversations cached across switches, with q4/q8 quantization saving 2–4x memory
- Agentic coding tools — 20+ built-in MCP tools for file editing, shell execution, browser automation, web search, and git integration
- API completeness — 7 OpenAI-compatible endpoints including responses, embeddings, MCP, audio, and request cancellation
- Speculative decoding — configurable draft model and token count for faster generation
- Completely free — no paid tier, no subscription, no usage limits
Where Inferencer excels
- Token inspection — a unique feature that lets you see individual token probabilities and details during generation, unmatched by any other local AI app
- Distributed compute — split inference across 2 Macs for larger models that don't fit on a single machine
- Model streaming — stream models from storage instead of loading them fully into memory
- App Store distribution — install directly from the Mac App Store for a familiar, managed experience
- IDE extensions — direct VS Code and Xcode integration via extensions
Try vMLX free
The fastest local AI engine for Mac with 20+ built-in agentic tools. No subscription. No cloud. No limits.