Give the hard tasks to a cloud model, and keep your Mac doing the work.
Boost runs a task with optiq-boost, the OptiQ Cloud model,
in charge. It plans, decides and makes the important edits, and hands the
reading, searching and test runs to the model on your Mac. On 30 benchmark
tasks, solved tasks went from 4 to 15, for $2.80 in total.
Boost runs through OptiQ on an Apple Silicon Mac. No card needed to start.
Turn on Boost before a hard task
Boost is a model you pick, not a mode you get stuck in. Pick it for the task that needs it and go back to your local model for the rest.
Install OptiQ
On an Apple Silicon Mac. Skip this if you already run
optiq serve, OptiQ Code or the Lab.
$ pip install -U mlx-optiqConnect the machine
Sign in once. The token is written to your OptiQ config and stays on the machine.
$ optiq cloud loginPick Boost
In OptiQ Code, type /boost before the task. The cloud
model leads it and calls your local model through its local tool.
In any other client pointed at optiq serve, choose the model
optiq-boost.
/boost
add retry with backoff to the HTTP client and make the tests passSee what it cost
The run summary shows what the task cost and what is left on
your balance. Type /boost again to go back to your local model.
OptiQ Cloud $0.06 · $1.94 leftWhat it did on 30 real tasks
The same 30 tasks from DeepSWE-mini and Terminal-Bench mini, the same local Qwen3.6-35B-A3B on a 24 GB Mac mini, run in OptiQ Code with and without Boost.
| Local model alone | With Boost | |
|---|---|---|
| Tasks solved | 4 / 30 | 15 / 30 |
| DeepSWE-mini target tests | 313 / 771 | 706 / 771 |
| Terminal-Bench tasks solved | 4 / 14 | 8 / 14 |
| Cost for all 30 tasks | free, local | $2.80 |
One attempt per task. The full write-up, including what the local model did and what it cost per task, is on the blog.
It works in the agent you already use
optiq serve and the Lab list optiq-boost next
to your local model once you are signed in. Pick it in any client and that
conversation runs on OptiQ Cloud. OptiQ Code is the one that also gives the cloud
model your local model as a helper.
OptiQ Code
/boost before a task. The cloud model leads and hands bulky
work to your local model.
Claude Code
Point ANTHROPIC_BASE_URL at optiq serve and set the
model to optiq-boost.
Codex
Chat Completions or Responses, streaming or not. Set the model to
optiq-boost.
OpenCode
Add optiq-boost to your optiq serve provider and pick it.
OptiQ Lab
Choose optiq-boost in the chat's model list. Tools and files work
as they do locally.
Anything OpenAI-compatible
OpenClaw, Hermes Agent, Mistral Vibe and the rest: the same model name on the same endpoint.
What it costs
You pay for the tokens a task uses, from a balance you top up when you want. There is nothing recurring to cancel, and nothing to pay on the days you do not use it.
| optiq-boost | Per million tokens |
|---|---|
| Input | $0.15 |
| Cached input | $0.03 |
| Output | $0.50 |
$2 of credit
Good for 14 days. On our benchmark run that covered about 35 typical tasks. No card needed.
$20 at a time
A one-off purchase, not a subscription. Auto top-up is optional, with a monthly cap you set.
What leaves your machine
What leaves my machine?
The conversation of a task you run with Boost: your request, the cloud model's replies, and the tool results it asks for, including the parts of files it reads. Tasks on your local model never reach the network. Your repository is not uploaded, indexed or scanned, and the jobs the cloud model hands to your local model stay on your Mac.
Is my code used for training?
No. Prompts and replies are not stored by OptiQ Cloud, and Boost only uses model providers that do not train on requests. What is kept is token counts, timings and cost, so you can see what a task cost.
What if my balance runs out?
The run stops and says so. Nothing is charged past an empty balance except the call already in progress, and your local model keeps working without the cloud.
Can I turn it off?
It is off until you pick it. optiq cloud logout revokes the token
rather than just forgetting it.
Try it on your next hard task
$2 of credit to start. One command to connect, and no plugin for whichever agent you already use.