Compare the best 6 promptable concept segmentation models and try them on your own images, free in the Roboflow Playground.
6 models · 1 open-weight · 6 free to try · prices synced Oct 26, 2026
We haven't benchmarked promptable concept segmentation yet; scores and rankings appear on this site only where we've measured them. Until then, compare the models below, and for fixed categories in production expect a model fine-tuned on your own data to win.
1 model with downloadable weights you can self-host under their licenses (Custom). All run live in the Playground through hosted APIs, so self-hosting is optional.
5 proprietary models where the weights aren't downloadable: access is through each provider's API and billed by them. Try all of them free in the Playground.
| Actions | |||||
|---|---|---|---|---|---|
Gemini 4 ArgonGoogle NEW | $2.00 | $10.00 | 1M | Oct 2026 | |
GPT-6.1 SolOpenAI | $2.00 | $10.00 | 1.1M | Sep 2026 | |
GPT-6 LunaOpenAI | $0.10 | $0.50 | 1.1M | Sep 2026 | |
GPT-6 SolOpenAI | $2.00 | $10.00 | 1.1M | Sep 2026 | |
GPT-6 AstraOpenAI | $10.00 | $50.00 | 1.1M | Sep 2026 |
Concept segmentation extends promptable segmentation from "whatever is at this click" to "every instance of this concept": one prompt, instance masks for all matches. It is the newest family on this site, popularized by SAM 3.
Classic SAM segments one thing per prompt, which is ideal for interactive editing. Concept-promptable models take a phrase or an example and return masks for every match in the image, which is what labeling, counting, and scene analytics actually need. If your workflows currently chain a detector into SAM to get that behavior, a concept-promptable model folds it into one step.
The sweet spot is open-world and one-off jobs: labeling a new dataset, ad hoc analysis, editing pipelines. For a fixed, high-volume segmentation task, a compact model trained on masks the promptable model helped label still wins on cost and latency, the same trade as everywhere else on this site.
The bottom line: Reach for concept segmentation when you need every instance of something you can describe, and graduate fixed high-volume tasks to a trained model once the concept stops changing.
Yes. 1 of the 6 promptable concept segmentation models here are open-weight (for example SAM 3), free to self-host under their licenses (Custom).
Yes. You can run all 6 in the Roboflow Playground for free. Upload an image and compare the models' output side by side, no setup required.
This page lists all 6 promptable concept segmentation models in the Roboflow Playground catalog: 1 open-weight model you can self-host and 5 proprietary models accessed through provider APIs; all of them run live in the Roboflow Playground on your own images. Compare licenses, parameters, API prices, and release dates side by side, or open any model page for full details.