SAM 3 & 3D
SAM 3 segments every matching object in images and video from a text or visual prompt — free to try in the Segment Anything Playground.
If your problem is "find and mask every instance of X in this footage," SAM 3 solves it with a text phrase, one example box and a few follow-up clicks — and the free playground makes evaluating that a ten-minute job. The catch is deployment: outside the playground you download the model and build your own serving stack, or pay a platform that already did. Researchers and annotation teams should start here; product teams on a deadline should price a hosted wrapper first.
Verified 4d ago · liveness 61/100 · cite: rightaichoice.com/tools/sam-3-3d
- Computer vision researchers benchmarking open-vocabulary segmentation and tracking
- Annotation teams masking every instance of a category across large image or video sets
- Video editors and creators isolating people or objects for effects work
- 3D artists and game developers prototyping assets from single photos with SAM 3D
- Teams that need a managed inference endpoint with SLAs and support contracts
- Products shipping this quarter without engineering time for self-hosted GPU serving
- Workflows needing tightly controlled, domain-specific segmentation quality out of the box
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Skip SAM 3 if you need a managed segmentation API with an SLA and support contract this quarter, or if click-per-object masking is all you need and SAM 2 already covers it.
Downloading the model is free, but running it in production means paying for your own GPU capacity — a real line item that the playground doesn't show you
SAM 3 itself is free to use in Meta's Segment Anything Playground and free to download as a model. The cost that isn't on the page is the infrastructure: self-hosting means your own GPU spend, whereas managed commercial segmentation APIs like Roboflow or AWS Rekognition fold serving and support into a per-call or subscription price. Pick SAM 3 when you have the engineering capacity; pick a managed API when you'd rather rent that capacity.
In short
SAM 3 & 3D — SAM 3 segments every matching object in images and video from a text or visual prompt — free to try in the Segment Anything Playground. Best for Computer vision researchers benchmarking open-vocabulary segmentation and tracking, Annotation teams masking every instance of a category across large image or video sets, Video editors and creators isolating people or objects for effects work. Free to use.
What people actually say about SAM 3 & 3D — is it worth it?
We scanned public community sources for SAM 3 & 3D on Aug 1, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is SAM 3 & 3D? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Text-prompt segmentation to mask all objects matching a short phrase
- Exemplar prompting: draw one box, segment every matching instance
- Positive and negative click prompting for precise mask control
- Follow-up prompts to refine missed or incorrect predictions
- Video object tracking that follows segmented objects across frames
- Open-vocabulary detection without per-category fine-tuning
- Retains SAM 2 click, box and mask prompting capabilities
- Unified promptable architecture combining language, exemplars and visual prompts
- Model download for self-hosted inference
- Interactive browser interface via the Segment Anything Playground
- SAM 3D reconstruction of 3D people and objects from a single 2D image
- State-of-the-art performance across text and visual segmentation tasks
- Trained on a large-scale, diverse segmentation dataset
- Used in Instagram Edits for applying effects to people and objects in video
- Powers Meta AI Vibes media generation
About SAM 3 & 3D
SAM 3 is Meta's open-vocabulary segmentation model for images and video. Type a short text phrase like "the red kayak," draw a box around one example object, or drop positive and negative clicks, and SAM 3 masks every matching instance in the frame — no fine-tuning and no per-category training required. It builds on SAM 2's click, box and mask prompting plus video object tracking, and adds language-driven detection on top, so you can name what you want instead of hand-hunting pixels. SAM 3D sits alongside it, reconstructing 3D people and objects from a single 2D photo for spatial and asset work. The main entry point is the Segment Anything Playground, a browser interface where researchers and creators test text-prompt masking, exemplar prompting, video tracking and click-to-refine without writing code. Meta also publishes the model for download, so teams that want to run inference on their own hardware can. Meta names Instagram Edits, Meta AI Vibes, Conservation X Labs and FathomNet as deployments, spanning consumer video creation and scientific image analysis. The fit is broad: computer vision researchers benchmarking open-vocabulary segmentation and tracking, video editors isolating moving subjects for effects, annotation teams building training sets, and 3D artists turning phone photos into assets. Where it bites is scaffolding. You get model weights and a web playground rather than a managed inference stack, so shipping SAM 3 inside a product means hosting it yourself or routing through a platform that has already done so. That leaves a clear division of labor against alternatives like Roboflow or AWS Rekognition. Commercial APIs still win on managed deployment and support; SAM 3 is the open reference point for segmentation and tracking quality that those wrappers get measured against.
Behind the Verdict
We'd reach for SAM 3 the moment the task stops being "segment this one thing I can click" and becomes "find every instance of this kind of thing." That shift is the whole point of the release. Language prompting plus exemplar boxes means an annotation team can label a whole clip of footage against a category name instead of clicking each object by hand — and the follow-up prompting means when the model misses one, you correct it in seconds rather than re-running a pipeline. Pick this when you are a researcher benchmarking open-vocabulary segmentation, an annotation shop producing training data at volume, or a video editor masking moving subjects for effects. The Segment Anything Playground removes almost all evaluation friction: try it before you commit engineering time. Pass when you need a managed endpoint with an SLA. SAM 3 ships as weights and a playground, not hosted inference. If you are a product team shipping this quarter without GPU serving experience, the honest move is to look at a hosted wrapper first and keep SAM 3 as your quality yardstick. Also pass if you only ever need click-per-object masking — SAM 2 already covers that, and upgrading buys you nothing. Compared with commercial segmentation APIs (Roboflow, AWS Rekognition), SAM 3 tends to win on open-vocabulary generality and cost at scale, since you host it. It loses on everything operational: uptime guarantees, support contracts, and the convenience of a single API key. That trade is the real decision. In practice, the caveat is quality control. Open-vocabulary recognition is strong but not domain-perfect — if your imagery is highly specialized, expect to validate outputs rather than trust them blindly. Budget time for that. For SAM 3D, the appeal is different: single-photo reconstruction of
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Real-world workflow fit
Concrete scenarios for the personas SAM 3 & 3D actually fits — and what changes day-one when you adopt it.
You need to benchmark open-vocabulary segmentation on your own imagery. You open the Segment Anything Playground, type a short phrase describing the target category, add an exemplar box when the phrase is ambiguous, and compare the masks against your baseline.
Outcome: A working evaluation of SAM 3's text and exemplar prompting in an afternoon, with masks you can export and score — no environment setup, no training run.
Your team must mask every instance of a category across a large set of images and video. You prompt once with a phrase plus exemplar boxes, let SAM 3 mask the matching instances and track them through video, then have annotators add follow-up clicks where the model missed or over-segmented.
Outcome: Draft masks for the whole set instead of first-pass manual tracing, with annotators spending their time correcting rather than drawing.
You want to isolate a moving subject for an effects shot, or rebuild an object from a single product photo. You segment and track the subject with a text phrase and clicks, or send the photo through SAM 3D to reconstruct it in 3D.
Outcome: A tracked mask or a 3D reconstruction you can take into your editing or asset pipeline, produced from prompts rather than rotoscoping by hand.
Use Cases
- Extract a person or object from a video background for editing
- Reconstruct a 3D person or object from a single 2D photo with SAM 3D
- Track a specific car or animal across multiple video frames
- Generate masks for every instance of a category in a large image set
- Build training data by auto-masking objects annotation teams then review
- Prototype game or product assets from real-world photos
Models Under the Hood
as of 2026-09-09
Limitations
- You get model weights and a browser playground, not a managed inference service — production use means hosting SAM 3 yourself on GPUs or going through a third party that has.
- Video and 3D output quality varies with object complexity.
- If click-per-object masking is all you need, SAM 2 already does it, so there is little reason to take on SAM 3's scaffolding.
- And for teams that need domain-specific segmentation quality locked down from day one, expect prompt tuning and review work rather than out-of-the-box accuracy.
as of 2026-10-03
Verification history
We have re-verified SAM 3 & 3D 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published SAM 3 & 3D tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Researchers, annotation teams, video editors and 3D artists who want to evaluate or use SAM 3 without paying Meta — via the Segment Anything Playground or a self-hosted model download
What this tier adds
Starting tier: no cost from Meta. Includes text and exemplar prompting, click/box prompting, video tracking with follow-up refinement, and SAM 3D single-image reconstruction
Where the pricing makes sense
The company stage and team size where SAM 3 & 3D's pricing actually pencils out — and where peers do it cheaper.
SAM 3 itself is free to use in Meta's Segment Anything Playground and free to download as a model. The cost that isn't on the page is the infrastructure: self-hosting means your own GPU spend, whereas managed commercial segmentation APIs like Roboflow or AWS Rekognition fold serving and support into a per-call or subscription price. Pick SAM 3 when you have the engineering capacity; pick a managed API when you'd rather rent that capacity.
Setup time & first value
How long it actually takes to get something useful out of SAM 3 & 3D — broken out by persona, not the marketing-page minute.
Researchers and creators: a few minutes in the Segment Anything Playground — open it, type a phrase or draw an example box, and you have masks. Annotation teams: hours to days, because the real work is building the review and export pipeline around the model. Product teams: days to weeks, since self-hosting means provisioning GPU serving and your own inference wrapper before the first request
Switching to or from SAM 3 & 3D
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From SAM 2: same click, box and mask prompting you already use, plus text and exemplar prompts layered on top
- →From manual rotoscoping or hand-drawn masks: prompt SAM 3 with a phrase or one example box and refine the output with follow-up clicks
- →From a click-only segmentation tool: add text prompting so you can target a whole category instead of clicking instance by instance
- ↗To a managed segmentation API (Roboflow, AWS Rekognition): route prompts through a hosted endpoint when you want serving and support handled for you
- ↗To SAM 2: drop back if you only ever need click, box or mask prompting and don't want the extra scaffolding
- ↗To a platform that already hosts SAM 3: keep the model quality and hand off GPU serving and scaling
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “SAM 3 & 3D”, and we withheld 6: 6 could not be judged, because “SAM 3 & 3D” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about SAM 3 & 3D.
Official links
Tools that pair well with SAM 3 & 3D
Common stack mates teams adopt alongside SAM 3 & 3D, with the specific reason each pairing earns its keep.
Immersity AI
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ComfyUI
ComfyUI is an open-source, node-based engine for AI image, video, audio, and 3D generation with inspectable workflows.
Wonder Studio
Autodesk's cloud VFX studio that turns live-action footage into editable CG characters, mocap, and USD exports.
Featured Head-to-Head Comparisons
Sam 3 3d vs The New Black
SAM 3 & 3D is the winner for anyone needing general-purpose segmentation or quick 3D reconstruction at zero cost. But if you're in fashion, The New Black's purpose-built design tools, tech pack exports, and custom AI models make it far more useful despite its freemium pricing. Choose based on your domain.
Sam 3 3d vs Storyfile
Choose SAM 3 & 3D if you need free, instant segmentation and 3D reconstruction for research or content creation. Choose StoryFile for high-fidelity, authentic conversational AI based on real people for museums or legacy projects. They serve entirely different purposes — the decision hinges on whether you need computer vision or human storytelling.
Sam 3 3d vs Splice
If you need zero-shot segmentation or 3D reconstruction from images/video, SAM 3 & 3D is a powerful free tool. If you're a music producer seeking royalty-free samples and rent-to-own plugins, Splice's subscription (starting at $4.99/mo) is the industry standard. Choose based on your domain: computer vision vs. music production.
Alternatives to SAM 3 & 3D
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Immersity AI
Convert 2D images and video into 3D stereoscopic output — headset-free — on the phone, tablet, or laptop you already own.
ComfyUI
ComfyUI is an open-source, node-based engine for AI image, video, audio, and 3D generation with inspectable workflows.
Wonder Studio
Autodesk's cloud VFX studio that turns live-action footage into editable CG characters, mocap, and USD exports.
Frequently Asked Questions
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