What Tablif read on OptiQ's site
OptiQ describes itself as: “Run LLMs locally on your Mac (Apple Silicon) · mlx-optiq”
- Price model: free tier
- Free tier: Free up to a limit
- Stage: Live, no waitlist
- How it differs: “mlx-optiq is the only path on this list that uses calibration-driven, per-layer bit allocation for both weights and KV cache, in the native MLX runtime”
What it is
Calls itself “local-LLM stack”.
- Calls itself: local-LLM stack
“OptiQ is the local-LLM stack for Apple Silicon.”
Where it puts itself
Claims “largest”. Rules out “PyTorch” and “cloud”. Publishes a comparison page.
- Superlative claim: largest
- Says it will not: PyTorch · cloud
“…mlx-optiq is the only path on this list that uses calibration-driven, per-layer bit allocation for both weights and KV cache, in the native MLX runtime”
“The largest single dense quant we ship.”
What it costs
A free tier up to a usage limit. Prices quoted: $20 for 200 Boosts.
- Free plan: free up to a limit
- Price: $20 for 200 Boosts
“$20 for 200 Boosts”
“Free to start 20 Boosts”
Who it sells to
Sells to developers.
- Sells to: developers
“A terminal coding agent that drives whatever you are serving, offline, on your Mac. Built for weak local models: it never returns an empty patch and recovers from failed edits.”
How it runs
A bot, command-line tool and web app for macOS. Runs locally and works offline. Hosted in the cloud. Distributed through the pip. Offers an API. AI is the core of the product.
- Kind: bot · cli · web
- Runs on: macOS
- Runs where: cloud / hosted · on the device, offline
- Distributed via: pip
- API: yes
- AI role: core to the product
“One MLX-native engine runs a CLI and OpenAI/Anthropic-compatible server, a local web workbench (Lab) and a terminal coding agent (Code).”
“OptiQ is the local-LLM stack for Apple Silicon.”
What it works with
Names Apple MLX, Hugging Face and 3 more on its pages.
- Names: Apple MLX · Hugging Face · PyTorch · +2
“Apple MLX”
“Hugging Face”
What it offers as proof
Live, no waitlist. Claims “200+”. Try it without signing up. Publishes docs and a blog.
- Number claimed: 200+
- Instant signup: yes
- Trial asks for: nothing
“Sign in”
“No card to try it.”
Sources
Tablif read these pages, last on 9 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.
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