FLUX 3 Image open weights: release date and what to use now
FLUX 3 Image's open weights are reported as coming within weeks, with no date. What is known, what is not, and the hosted FLUX.2 route on Sume today.

There is no release date for FLUX 3 Image's open weights. As of 2026-10-03, press coverage of the Oct 1 launch says Black Forest Labs expects an open-weight version "in the coming weeks" (The Decoder) or "within weeks" (Tech Times), and neither article gives a date, a license, or a file size. Until the weights ship, FLUX 3 Image is reachable as a hosted model, for example on Replicate.
Sume does not list FLUX 3 Image in its image catalog today. What Sume serves from Black Forest Labs is FLUX.2 Pro and FLUX.2 Flex, so an open-weight release would not change what you can call on Sume until a FLUX 3 row appears in the catalog.
What has actually been said about the weights?
Both reports are news coverage, not a Black Forest Labs license page, so treat every line below as reported. The Decoder (Oct 2) says the open-weight version is expected in the coming weeks and that commercial licensing is available for on-premise deployment and fine-tuning. Tech Times (Oct 2) says the same about timing and adds that commercial licensing covers fine-tuning and self-hosted deployment.
Neither report names a license for the open weights. That matters because an earlier FLUX.2 family split its licensing by size, and the open release of a model is not the same thing as permission to sell what it makes. Wait for the license text on the model card before you plan a product around it.
- Reported: open weights "in the coming weeks", no date.
- Reported: commercial licensing for on-prem and fine-tuning exists separately.
- Not stated anywhere I could read: license terms, parameter count, hardware needs, or whether the 4K output and bounding-box editing ship in the open version.
What do the hosted FLUX 3 Image inputs look like today?
The Replicate page lists the inputs you would also expect from a self-hosted copy: a prompt, up to 10 reference images, an aspect ratio (auto or fixed ratios), a resolution of 768sq, 1k, 1.5k, 2k, or 4k, a grounding switch that is on by default, and an output format. Reference images must be between 256 by 256 pixels and 16 megapixels (read 2026-10-03).
Those are the same inputs worth designing around now, because a weights release usually keeps the hosted model's parameter names. If you write a thin wrapper today that maps your own fields onto them, swapping the backend later is a one-file change.
Weights or a hosted API: which fits a small team?
Open weights give you control of the data path and the cost curve at high volume, and they cost you a GPU, an inference stack, upgrades, and moderation. A hosted catalog gives you none of that control and none of the operations work. The table sets out what each route needs from you.
| Question | Open weights (when released) | Hosted catalog such as Sume |
|---|---|---|
| Who runs inference | You | The provider, behind one API |
| License to read first | The model card of the release | Sume's terms plus the model's own terms |
| FLUX 3 Image available today | Not yet; reported within weeks | Not in Sume's catalog; FLUX.2 Pro and Flex are |
| Output delivery | Your storage | A Sume-hosted signed URL per image |
| Failed generations | Your GPU time | Not billed, per Sume's docs |
How do I find out the day FLUX 3 shows up on Sume?
Sume publishes its image catalog at GET /v1/images/models, so the cheapest watcher is a script that lists the ids and flags any with flux in the name. When a black-forest-labs/flux.3... row appears, its supported_parameters will tell you which of the inputs above it accepts, because Sume rejects any parameter a model does not list with 400 unsupported_parameter.
This script prints the FLUX rows in the current catalog. It needs only a Sume API key in SUME_API_KEY.
import os
import requests
r = requests.get(
"https://api.sume.com/v1/images/models",
headers={"Authorization": f"Bearer {os.environ['SUME_API_KEY']}"},
timeout=30,
)
r.raise_for_status()
for m in r.json()["data"]:
if "flux" in m["id"]:
refs = m["supported_parameters"].get("input_references", {})
print(m["id"], "max references:", refs.get("max"))
What should I build on in the meantime?
If you want Black Forest Labs output on Sume now, use FLUX.2 Pro or Flex; the FLUX 3 versus FLUX 2 note covers the difference. If you want the layout and region-edit features that are specific to FLUX 3, there is no like-for-like model in Sume's catalog; ChatGPT Image 2.5 has a mask_url edit that is the closest equivalent, and the bounding box note explains where it differs. For license reading habits, the FLUX.2 klein licensing post is a good template.
Re-check the Replicate page and Black Forest Labs' own docs before you commit: the release is described as imminent, and a license page is the only fact that counts. A plan that works whether or not the weights ship is the safest one: keep your prompts and reference images in your own storage, keep model ids in config, and treat the backend as swappable.
Sources
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