moondream3.1-9B-A2B

Moondream 3.1

Moondream 3.1 is a vision language model with a mixture-of-experts architecture (9B total parameters, 2B active). It delivers state-of-the-art visual reasoning and detection while staying fast and cheap to deploy. Skills include query, detect, point, and caption, all native and all returning structured output.

For the full story on what's new — including how we trained it and how it holds up on your own tasks — see the release notes.

✨ Playground   ·   ☁️ Cloud API   ·   📝 Release notes   ·   📄 License

Run locally with Photon

Photon is Moondream's high-performance inference engine. It runs the model locally on NVIDIA GPUs (Ampere or newer) and Apple Silicon Macs, with the same API as Moondream Cloud.

pip install moondream

import moondream as md
from PIL import Image

# Runs locally via Photon. Weights download from Hugging Face on first use.
model = md.vl(local=True, model="moondream3.1-9B-A2B")

image = Image.open("photo.jpg")

# Caption
print(model.caption(image)["caption"])

# Visual question answering
print(model.query(image, "What's in this image?")["answer"])

# Open-vocabulary detection
for obj in model.detect(image, "person")["objects"]:
    print(obj)

# Pointing
for point in model.point(image, "person")["points"]:
    print(point)

No API key is required to run the base model locally. (You'll only need one to run finetunes or to call Moondream Cloud.) For supported hardware, streaming, finetunes, and production serving with Triton, see the local inference guide.

Cloud API

Prefer a hosted endpoint? The same skills are available through Moondream Cloud with a generous free tier. See the quickstart to make your first call.

License

Moondream 3.1 is released under the Moondream Model License.