Open-weights decision model

reflex 4B

Ask for private hosting, call it as an API, run it locally, or get it pre-installed.

JevBench open weights #65 ImageJevBench #23 TextImage input Licence: MIT (code, adapter); Apache-2.0 (base) Source ↗

Dedicated hosting · on request

Hosting reflex 4B needs the author’s OK

Best for steady traffic and privacy.

Weights are not on Hugging Face as a ready checkpoint — request it and we package it. Tell us what you want to do and we look into it for you. We reply within one business day.

Not self-serve yet

We’ll email you once. Nothing else.

Hosted API

Best for trying it or low volume.

On request

Want reflex 4B as pay-per-token? Tell us. We add models based on demand.

We’ll email you once when it’s live. Nothing else.

Run locally

Best for testing offline.

One installer checks your hardware, downloads reflex 4B and starts a local endpoint.

Licence
Commercial use is allowed by the model's listed licence.
Get the installer The installer is free for individuals and small companies. The model’s licence still applies (MIT (code, adapter); Apache-2.0 (base)).

Pre-installed hardware

Best for data that must stay on site.

A ready-to-run box with reflex 4B installed, delivered to you. Suggested: Apple Mac mini M5 Pro (18-core CPU, 20-core GPU, 64 GB, 1 TB).

from $2,469 one-off, indicative
Ask for a quote We reply within one business day.

Model facts

Model
reflex 4B
Author
kshetrajna12
Size
4B parameters · about 13 GB GPU memory to serve (BF16)
Base
Qwen/Qwen3.5-4B
Source
https://github.com/kshetrajna12/reflex
Licence
MIT (code, adapter); Apache-2.0 (base)
JevBench
#65 on the open-weights board · capability 59.0 · details
ImageJevBench
#23 · details

Benchmark data from Benchmark Heaven. Model names belong to their authors; we host the published weights.

Dedicated hosting — good to know

What exactly do I get?

A private, OpenAI-compatible endpoint that serves only reflex 4B on GPUs reserved for you, with API keys you control, a live status page, request counts and spend. The model is pinned to an exact published revision.

How is it billed?

From your prepaid Decision Models balance, in blocks: one hour at a time for “always on”, 15 minutes at a time while warm for “scale to zero”. VAT is applied when you top up. The next block is charged just before the current one ends. When your balance can’t cover the next block, the endpoint stops — you are never billed beyond your balance. Optional daily and monthly caps.

What does “scale to zero” mean?

After a quiet period (15 minutes by default) we stop the GPU. The next request wakes it; until it is ready the endpoint answers 503 with a Retry-After header. A cold start takes a few minutes: a fresh GPU host loads the server and the weights (the estimate for your choice is shown above). Great for batch jobs and prototypes; pick “always on” for live traffic.

EU or Global?

EU — hosting in EU, built for GDPR, aligned with the EU AI Act. Runs on GPUs of an EU provider in EU data centres. Global — lowest price. GPUs from independent and data-centre providers worldwide. Choose EU for personal or regulated data.

Do you store my prompts?

No. Requests pass straight through to your model server; we keep only counts (requests, tokens, errors) for your dashboard. Your prompts are processed on the GPU that runs your endpoint — on Global that GPU belongs to an independent or data-centre provider, so choose EU for personal or regulated data.