Question 1

What is Segment Anything Model 3?

Accepted Answer

SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks.

Question 2

How much does Segment Anything Model 3 cost on Runflow?

Accepted Answer

Contact us for current pricing on Segment Anything Model 3. Runflow offers predictable, usage-based pricing with no GPU management fees. Request a quote at runflow.io/pipeline-audit.

Question 3

What's the latency of Segment Anything Model 3?

Accepted Answer

Latency for Segment Anything Model 3 varies based on input parameters and current load. Runflow optimizes inference with multi-region routing to minimize response times. Cold starts (5-10s) are not billed.

Question 4

Can I use Segment Anything Model 3 commercially?

Accepted Answer

Yes. Segment Anything Model 3 is available under a commercial license, meaning you can use it in production applications, SaaS products, and client work. Check the model's specific license terms for details.

Question 5

Do I need to manage GPUs?

Accepted Answer

No. Runflow handles all infrastructure, including GPU provisioning, scaling, and failover. You call our API and receive results — no DevOps required.

Question 6

What other models does Runflow support?

Accepted Answer

Runflow supports 736 models across image generation, video, audio, 3D, and more. Browse the full catalog at runflow.io/models or contact us for recommendations based on your use case.

Parameter	Type	Required	Description
prompt	string	optional	Text prompt for segmentation
include_boxes	boolean	optional	Whether to include bounding boxes for each mask (when available).
include_scores	boolean	optional	Whether to include mask confidence scores.
return_multiple_masks	boolean	optional	If True, upload and return multiple generated masks as defined by `max_masks`.
image_url	image	required	URL of the image to be segmented
sync_mode	boolean	optional	If True, the media will be returned as a data URI.
point_prompts	string	optional	List of point prompts
output_format	string	optional	The format of the generated image.
max_masks	integer	optional	Maximum number of masks to return when `return_multiple_masks` is enabled.
box_prompts	string	optional	Box prompt coordinates (x_min, y_min, x_max, y_max). Multiple boxes supported - use object_id to group boxes for the same object or leave empty for separate objects.
apply_mask	boolean	optional	Apply the mask on the image.
text_prompt	string	optional	[DEPRECATED] Use 'prompt' instead. Kept for backward compatibility.

Field	Type	Description
image	string	Primary segmented mask preview.
metadata	string	Per-mask metadata including scores and boxes.
masks	json	Segmented mask images.
scores	string	Per-mask confidence scores when requested.
boxes	string	Per-mask normalized bounding boxes [cx, cy, w, h] when requested.

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